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+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "832ee97e-e259-4280-b2ab-42d7fe348a70",
+   "metadata": {},
+   "source": [
+    "# Virtualizing Data Access: Towards \"Cloud Native\" Analysis Ready Data @ NSIDC\n",
+    "\n",
+    "2025 NSIDC UWG meeting\n",
+    "\n",
+    "\n",
+    "### Standard file access (streaming data)\n",
+    "\n",
+    "* Archival formats are inefficient to access over the network (NetCDF, HDF5, HDF4, GRIB)\n",
+    "* Native drivers are not optimized for cloud access\n",
+    "* Metadata logical unit is a file\n",
+    "\n",
+    "### Virtualized data (metadata) access\n",
+    "\n",
+    "* Cloud-like access for *compatible* datasets\n",
+    "* Zarr client libraries, this means we can bypass netcdf, hdf5 drivers.\n",
+    "* **FASTER access to cloud hosted data**\n",
+    "* Metadata logical unit (consolidation) can be assembled at different levels (data cubes)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f2bff627-80e0-4298-bdc9-29444d886bbf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import earthaccess as ea\n",
+    "import xarray as xr\n",
+    "import zarr\n",
+    "\n",
+    "import pandas as pd\n",
+    "import fsspec\n",
+    "import re\n",
+    "\n",
+    "import dask\n",
+    "from dask.distributed import Client, LocalCluster\n",
+    "from coiled import Cluster as CoiledCluster\n",
+    "import cartopy.crs as ccrs\n",
+    "import numpy as np\n",
+    "\n",
+    "# for _ in (ea, vz, zarr, xr):\n",
+    "#     print(f\"{_}: {_.__version__}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "484a540e-c055-4587-9872-b6fb51df554e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "auth = ea.login()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "eb565c6b-5bab-4c3a-b453-d17ffbec7d04",
+   "metadata": {},
+   "source": [
+    "## Scaling horizontally with Dask\n",
+    "\n",
+    "We still need to process potentially thousands of files so either locally or in the cloud we need a framework that helps us with the parallelization of these tasks.\n",
+    "Since Dask has been integrated into xarray and the rest of the Pangeo/Scientific Python data stack is the natural option to use (but not the only one)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "27d40abb-8fb1-482f-bc12-756ce23965bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cloud_opts = {\n",
+    "    \"region\": \"us-west-2\",\n",
+    "    \"worker_vm_types\": [\"t3a.medium\"],\n",
+    "    \"spot_policy\": \"spot_with_fallback\",\n",
+    "    # \"arm\": False,\n",
+    "    \"name\": \"test-vd\",\n",
+    "    \"environ\": {\"EARTHDATA_TOKEN\": auth.token[\"access_token\"]}\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c0c4fead-db3d-44aa-ac50-84ff2f2db0d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def create_dask_cluster(environment=\"local\",\n",
+    "                        n_workers=4,\n",
+    "                        cloud_opts={}):\n",
+    "    import logging\n",
+    "    \n",
+    "    if \"client\" in locals() and \"cluster\" in locals():\n",
+    "        return (client, cluster)\n",
+    "    else:\n",
+    "        if environment==\"local\":\n",
+    "            print(\"Creating new local Dask client\")\n",
+    "            cluster = LocalCluster(\n",
+    "                n_workers=n_workers,\n",
+    "                threads_per_worker=1,\n",
+    "                silence_logs=logging.ERROR)\n",
+    "        else:\n",
+    "            print(\"Creating new Coiled Dask client\")\n",
+    "            cluster = CoiledCluster(n_workers=n_workers,\n",
+    "                                    **cloud_opts)    \n",
+    "\n",
+    "        client = Client(cluster)\n",
+    "        # obstore_plugin = RustacStorePlugin(obstore_opts)\n",
+    "        # client.register_plugin(obstore_plugin, name='rustac_store')\n",
+    "        return (client, cluster)\n",
+    "\n",
+    "def silence_worker_warnings():\n",
+    "    import warnings\n",
+    "    import logging\n",
+    "    \n",
+    "    warnings.filterwarnings(\"ignore\")\n",
+    "    for name in [\"distributed\", \"xarray\", \"py.warnings\", \"fsspec\", \"h5netcdf\", \"h5py\"]:\n",
+    "        logging.getLogger(name).setLevel(logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "569a9b17-93fd-43fe-8d96-6e3d14d29136",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Creating new local Dask client\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-c5524f4f-aabc-11f0-b327-9c2dcd92e342</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "\n",
+       "        <tr>\n",
+       "        \n",
+       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
+       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
+       "        \n",
+       "        </tr>\n",
+       "\n",
+       "        \n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\"></td>\n",
+       "            </tr>\n",
+       "        \n",
+       "\n",
+       "        </table>\n",
+       "\n",
+       "        \n",
+       "            <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:8787/status\" }'>\n",
+       "                Launch dashboard in JupyterLab\n",
+       "            </button>\n",
+       "        \n",
+       "\n",
+       "        \n",
+       "            <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
+       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
+       "    </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">590515d9</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Workers:</strong> 16\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total threads:</strong> 16\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total memory:</strong> 46.75 GiB\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            \n",
+       "            <tr>\n",
+       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
+       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
+       "</tr>\n",
+       "\n",
+       "            \n",
+       "        </table>\n",
+       "\n",
+       "        <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\">\n",
+       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
+       "            </summary>\n",
+       "\n",
+       "            <div style=\"\">\n",
+       "    <div>\n",
+       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
+       "        <div style=\"margin-left: 48px;\">\n",
+       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
+       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-81213796-e798-40b4-b5e0-a218823fe77c</p>\n",
+       "            <table style=\"width: 100%; text-align: left;\">\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Comm:</strong> tcp://127.0.0.1:46655\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Workers:</strong> 0 \n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total threads:</strong> 0\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Started:</strong> Just now\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total memory:</strong> 0 B\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    <details style=\"margin-left: 48px;\">\n",
+       "        <summary style=\"margin-bottom: 20px;\">\n",
+       "            <h3 style=\"display: inline;\">Workers</h3>\n",
+       "        </summary>\n",
+       "\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46543\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45963/status\" target=\"_blank\">http://127.0.0.1:45963/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40643\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-d_kxbss5\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:35675\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:44943/status\" target=\"_blank\">http://127.0.0.1:44943/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:32819\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-l9n6sqk3\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39403\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:32773/status\" target=\"_blank\">http://127.0.0.1:32773/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:36227\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-i_h5f0wj\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39677\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:33433/status\" target=\"_blank\">http://127.0.0.1:33433/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37827\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-mg95q4u2\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39265\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:40597/status\" target=\"_blank\">http://127.0.0.1:40597/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41917\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-9144455q\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:36715\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:43079/status\" target=\"_blank\">http://127.0.0.1:43079/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46207\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-ded1vlyc\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39229\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:38647/status\" target=\"_blank\">http://127.0.0.1:38647/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37179\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-j26mgg7y\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:40313\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:35777/status\" target=\"_blank\">http://127.0.0.1:35777/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37073\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-umsf6nk7\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 8</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:40913\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:39741/status\" target=\"_blank\">http://127.0.0.1:39741/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45737\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-wlu484ho\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 9</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:36931\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:33901/status\" target=\"_blank\">http://127.0.0.1:33901/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42099\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-kfcj3rfy\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 10</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:38687\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:35297/status\" target=\"_blank\">http://127.0.0.1:35297/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:36519\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-ei0gur8e\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 11</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:36439\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:44621/status\" target=\"_blank\">http://127.0.0.1:44621/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41771\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-gv00iq7q\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 12</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39387\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:39005/status\" target=\"_blank\">http://127.0.0.1:39005/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42411\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-p3y322zl\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 13</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:46249\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:37123/status\" target=\"_blank\">http://127.0.0.1:37123/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37881\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-h6gde6c1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 14</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:42601\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:44921/status\" target=\"_blank\">http://127.0.0.1:44921/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:33037\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-m86qabap\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 15</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:43481\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45811/status\" target=\"_blank\">http://127.0.0.1:45811/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 2.92 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:35257\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-d4svuga4\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "\n",
+       "    </details>\n",
+       "</div>\n",
+       "\n",
+       "        </details>\n",
+       "    </div>\n",
+       "</div>\n",
+       "            </details>\n",
+       "        \n",
+       "\n",
+       "    </div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<Client: 'tcp://127.0.0.1:46655' processes=16 threads=16, memory=46.75 GiB>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "client, cluster = create_dask_cluster(environment=\"local\",\n",
+    "                                      n_workers=16,\n",
+    "                                      cloud_opts=cloud_opts)\n",
+    "client"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b79c7af4-8cd4-41fd-9162-c4c42249e4dc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "client.run(silence_worker_warnings)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "41085238-4941-486c-b2f9-ff864f382aa8",
+   "metadata": {},
+   "source": [
+    "## Virtualizing Access with Earthaccess + VirtualiZarr\n",
+    "\n",
+    "### Background\n",
+    "\n",
+    "Data virtualization works by extracting and [consolidating metadata](https://earthmover.io/blog/fundamentals-what-is-cloud-optimized-scientific-data/), this way we avoid the many small requests needed to understand and process the data in archival formats. The standard approach to extract file-level metadata still uses the native HDF5 drivers to read and collect this information and thus is a slow process. Back in 2020 Patrick Quinn (former ESDIS software architect) noticed that there is a semantic equivalence between Kerchunk metadata and the OPeNDAP dmrpp metadata and created a project called \"zarr-eosdis-store\" that translated this dmrpp into Zarr metadata at the file level. This project opened the way to what later became the integration we provide in earthaccess.\n",
+    "\n",
+    "Another milestone for this work was started by Jinbo Wang (former DAAC scientist at PODAAC) who assigned Ayush Nag (Intern at JPL at the time and now at SpaceX) to work on the dmrpp integration with VirtualiZarr and earthaccess. Similar to `zarr-eosdis-store`, Ayush' integration parses the dmrpp files already produced for OPeNDAP and translates them into Zarr-quivalent \"chunk manifests\". There are 3 key advantages of this integration with earthaccess:\n",
+    "\n",
+    "* No need to extract metadata (as this is slow) we just translate it.\n",
+    "* Researchers don't need to worry about finding the files, earthaccess `search_data()` results are the input for `open_virtual_mfdataset`\n",
+    "* We are not limited to work with one file at the time, we provide metadata concatenation that can be customized the same way we concatenate arrays using xarray!\n",
+    "\n",
+    "We are building a pipeline to facilitate how virtual datacubes can be generated by data producers and researchers alike. We hope that by the end of the year (2025) we have a stable API that can be used to reproduce this workflow with more datasets. \n",
+    "\n",
+    "Let's try this with a dataset that fills the requirements for virtualization** [SPL4SMGP](https://nsidc.org/sites/default/files/documents/user-guide/multi_spl4smau-v008-userguide.pdf)\n",
+    "\n",
+    "\n",
+    "---\n",
+    "** Almost \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "1dfe099c-e6e3-4e00-9b32-871e6aac0f01",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "30704"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "## The whole collection spanning 10 years of data\n",
+    "results  = ea.search_data(\n",
+    "    short_name=\"SPL4SMGP\",\n",
+    "    version=\"008\",\n",
+    "    provider=\"NSIDC_CPRD\",\n",
+    "    cloud_hosted=True,\n",
+    "    temporal=(\"2015-03-01\", \"2025-10-01\")\n",
+    ")\n",
+    "len(results)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f8e75238-8a79-4b07-be6f-bf1967884df6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 2.22 s, sys: 675 ms, total: 2.9 s\n",
+      "Wall time: 21.2 s\n"
+     ]
+    },
+    {
+     "data": {
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+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 150MB\n",
+       "Dimensions:                  (phony_dim_2: 1, y: 1624, x: 3856)\n",
+       "Coordinates:\n",
+       "  * x                        (x) float64 31kB -1.736e+07 ... 1.736e+07\n",
+       "  * y                        (y) float64 13kB 7.31e+06 7.301e+06 ... -7.31e+06\n",
+       "Dimensions without coordinates: phony_dim_2\n",
+       "Data variables:\n",
+       "    EASE2_global_projection  (phony_dim_2) |S1 1B ...\n",
+       "    cell_column              (y, x) float64 50MB ...\n",
+       "    cell_lat                 (y, x) float32 25MB ...\n",
+       "    cell_lon                 (y, x) float32 25MB ...\n",
+       "    cell_row                 (y, x) float64 50MB ...\n",
+       "    time                     (phony_dim_2) datetime64[ns] 8B ...\n",
+       "Attributes:\n",
+       "    Comment:      HDF-5\n",
+       "    Contact:      http://gmao.gsfc.nasa.gov\n",
+       "    Conventions:  CF\n",
+       "    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/...\n",
+       "    History:      File written by ldas2daac.x\n",
+       "    Institution:  NASA Global Modeling and Assimilation Office\n",
+       "    References:   see SMAP L4_SM Product Specification Documentation\n",
+       "    Source:       v18.1.0\n",
+       "    Title:        SMAP L4_SM Geophysical (GPH) Data Granule</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cf6b3ad6-d845-4611-be41-6966f058d660' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cf6b3ad6-d845-4611-be41-6966f058d660' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>phony_dim_2</span>: 1</li><li><span class='xr-has-index'>y</span>: 1624</li><li><span class='xr-has-index'>x</span>: 3856</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7345cd28-53f4-4f34-a55e-7eb48cdd5199' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7345cd28-53f4-4f34-a55e-7eb48cdd5199' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.736e+07 -1.735e+07 ... 1.736e+07</div><input id='attrs-335071e7-6bfa-4e3b-a327-a6727235344e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-335071e7-6bfa-4e3b-a327-a6727235344e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-238d5a10-1df5-43ba-bb13-eff653a7e060' class='xr-var-data-in' type='checkbox'><label for='data-238d5a10-1df5-43ba-bb13-eff653a7e060' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>X coordinate of cell center in EASE 2.0 global projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-17363027.29248 , -17354019.236816, -17345011.181152, ...,\n",
+       "        17345011.181152,  17354019.236816,  17363027.29248 ], shape=(3856,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.31e+06 7.301e+06 ... -7.31e+06</div><input id='attrs-e30f3fb8-a8ba-4083-a3ec-c7c3c6fa874d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e30f3fb8-a8ba-4083-a3ec-c7c3c6fa874d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d85fc000-0aa5-4fae-9b4c-17001e414d40' class='xr-var-data-in' type='checkbox'><label for='data-d85fc000-0aa5-4fae-9b4c-17001e414d40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Y coordinate of cell center in EASE 2.0 global projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 7310037.171387,  7301029.115723,  7292021.060059, ..., -7292021.060059,\n",
+       "       -7301029.115723, -7310037.171387], shape=(1624,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4953242b-03cb-4d3f-9513-f8515f884e9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4953242b-03cb-4d3f-9513-f8515f884e9c' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>EASE2_global_projection</span></div><div class='xr-var-dims'>(phony_dim_2)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1657c93-2f09-44cc-8228-160d828a9c0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1657c93-2f09-44cc-8228-160d828a9c0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a6b5567-cc16-4604-83f0-cf0d7da87bce' class='xr-var-data-in' type='checkbox'><label for='data-6a6b5567-cc16-4604-83f0-cf0d7da87bce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_cylindrical_equal_area</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>0.0</dd><dt><span>standard_parallel :</span></dt><dd>30.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_column</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0c0112b-12cb-45d9-80db-e9c0049eb1fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0c0112b-12cb-45d9-80db-e9c0049eb1fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-191f756f-77b6-407e-b142-62691389b178' class='xr-var-data-in' type='checkbox'><label for='data-191f756f-77b6-407e-b142-62691389b178' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>DIMENSION_LABELS :</span></dt><dd>[b&#x27;y&#x27;, b&#x27;x&#x27;]</dd><dt><span>fmissing_value :</span></dt><dd>4294967294</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>long_name :</span></dt><dd>The column index of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Type is Unsigned32.</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>valid_max :</span></dt><dd>3855</dd><dt><span>valid_min :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>[6262144 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18d37e72-ed81-46fb-8520-56fcf25f391e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18d37e72-ed81-46fb-8520-56fcf25f391e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a0c69a1-7bfb-4c13-aba1-4ebcbc3837d8' class='xr-var-data-in' type='checkbox'><label for='data-8a0c69a1-7bfb-4c13-aba1-4ebcbc3837d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>DIMENSION_LABELS :</span></dt><dd>[b&#x27;y&#x27;, b&#x27;x&#x27;]</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>long_name :</span></dt><dd>The geodetic latitude of the center of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Zero latitude represents the Equator. Positive latitudes represent locations North of the Equator. Negative latitudes represent locations South of the Equator.</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><div class='xr-var-data'><pre>[6262144 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5416d119-d1d0-4263-bac8-7634139f486d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5416d119-d1d0-4263-bac8-7634139f486d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d663573b-9890-4357-8d47-5edb7413739f' class='xr-var-data-in' type='checkbox'><label for='data-d663573b-9890-4357-8d47-5edb7413739f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>DIMENSION_LABELS :</span></dt><dd>[b&#x27;y&#x27;, b&#x27;x&#x27;]</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>long_name :</span></dt><dd>The longitude of the center of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Zero longitude represents the Prime Meridian. Positive longitudes represent locations to the East of the Prime Meridian. Negative longitudes represent locations to the West of the Prime Meridian.</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_max :</span></dt><dd>179.999</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd></dl></div><div class='xr-var-data'><pre>[6262144 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_row</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7a1e793-c88a-469d-8447-6ec867f5ccf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7a1e793-c88a-469d-8447-6ec867f5ccf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c84875c-c890-4fe4-b3f8-ceffc81e7f92' class='xr-var-data-in' type='checkbox'><label for='data-4c84875c-c890-4fe4-b3f8-ceffc81e7f92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>DIMENSION_LABELS :</span></dt><dd>[b&#x27;y&#x27;, b&#x27;x&#x27;]</dd><dt><span>fmissing_value :</span></dt><dd>4294967294</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>long_name :</span></dt><dd>The row index of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Type is Unsigned32.</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>valid_max :</span></dt><dd>1623</dd><dt><span>valid_min :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>[6262144 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(phony_dim_2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d086005c-c9e1-4ce6-8ac5-b8a0e9168c75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d086005c-c9e1-4ce6-8ac5-b8a0e9168c75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5a095e3-8e29-405d-8ca9-36e19b66e629' class='xr-var-data-in' type='checkbox'><label for='data-d5a095e3-8e29-405d-8ca9-36e19b66e629' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[4.810374e+08 4.810374e+08]</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f78a09c-e68c-44f5-a46a-11f67b8efb20' class='xr-section-summary-in' type='checkbox'  ><label for='section-5f78a09c-e68c-44f5-a46a-11f67b8efb20' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7aade0b1-a8cb-4d7e-a5fb-6d04a3a7a8cc' class='xr-index-data-in' type='checkbox'/><label for='index-7aade0b1-a8cb-4d7e-a5fb-6d04a3a7a8cc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -17363027.29248047, -17354019.236816406, -17345011.181152344,\n",
+       "        -17336003.12548828,  -17326995.06982422, -17317987.014160156,\n",
+       "       -17308978.958496094,  -17299970.90283203,  -17290962.84716797,\n",
+       "       -17281954.791503906,\n",
+       "       ...\n",
+       "        17281954.791503906,   17290962.84716797,   17299970.90283203,\n",
+       "        17308978.958496094,  17317987.014160156,   17326995.06982422,\n",
+       "         17336003.12548828,  17345011.181152344,  17354019.236816406,\n",
+       "         17363027.29248047],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=3856))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fd7934b6-4e4b-4cd2-8967-221e2587ae5f' class='xr-index-data-in' type='checkbox'/><label for='index-fd7934b6-4e4b-4cd2-8967-221e2587ae5f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 7310037.171386719,  7301029.115722656,  7292021.060058594,\n",
+       "        7283013.004394531,  7274004.948730469,  7264996.893066406,\n",
+       "        7255988.837402344,  7246980.781738281,  7237972.726074219,\n",
+       "        7228964.670410156,\n",
+       "       ...\n",
+       "       -7228964.670410156, -7237972.726074219, -7246980.781738281,\n",
+       "       -7255988.837402344, -7264996.893066406, -7274004.948730469,\n",
+       "       -7283013.004394531, -7292021.060058594, -7301029.115722656,\n",
+       "       -7310037.171386719],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=1624))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-423fbdd0-cdcb-4c6a-acb1-e4c981e8301a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-423fbdd0-cdcb-4c6a-acb1-e4c981e8301a' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Comment :</span></dt><dd>HDF-5</dd><dt><span>Contact :</span></dt><dd>http://gmao.gsfc.nasa.gov</dd><dt><span>Conventions :</span></dt><dd>CF</dd><dt><span>Filename :</span></dt><dd>/discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/gph/Y2015/M03/D31/SMAP_L4_SM_gph_20150331T013000_Vv8010_001.h5</dd><dt><span>History :</span></dt><dd>File written by ldas2daac.x</dd><dt><span>Institution :</span></dt><dd>NASA Global Modeling and Assimilation Office</dd><dt><span>References :</span></dt><dd>see SMAP L4_SM Product Specification Documentation</dd><dt><span>Source :</span></dt><dd>v18.1.0</dd><dt><span>Title :</span></dt><dd>SMAP L4_SM Geophysical (GPH) Data Granule</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 150MB\n",
+       "Dimensions:                  (phony_dim_2: 1, y: 1624, x: 3856)\n",
+       "Coordinates:\n",
+       "  * x                        (x) float64 31kB -1.736e+07 ... 1.736e+07\n",
+       "  * y                        (y) float64 13kB 7.31e+06 7.301e+06 ... -7.31e+06\n",
+       "Dimensions without coordinates: phony_dim_2\n",
+       "Data variables:\n",
+       "    EASE2_global_projection  (phony_dim_2) |S1 1B ...\n",
+       "    cell_column              (y, x) float64 50MB ...\n",
+       "    cell_lat                 (y, x) float32 25MB ...\n",
+       "    cell_lon                 (y, x) float32 25MB ...\n",
+       "    cell_row                 (y, x) float64 50MB ...\n",
+       "    time                     (phony_dim_2) datetime64[ns] 8B ...\n",
+       "Attributes:\n",
+       "    Comment:      HDF-5\n",
+       "    Contact:      http://gmao.gsfc.nasa.gov\n",
+       "    Conventions:  CF\n",
+       "    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/...\n",
+       "    History:      File written by ldas2daac.x\n",
+       "    Institution:  NASA Global Modeling and Assimilation Office\n",
+       "    References:   see SMAP L4_SM Product Specification Documentation\n",
+       "    Source:       v18.1.0\n",
+       "    Title:        SMAP L4_SM Geophysical (GPH) Data Granule"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%time \n",
+    "\n",
+    "r_ds = xr.open_dataset(ea.open(results[0:1], show_progress=False)[0], phony_dims='sort')\n",
+    "r_ds"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "45bb665a-61b6-41b2-b366-34d7f7e4e588",
+   "metadata": {},
+   "source": [
+    "Empirically, opening a single granule of this SMAP L4 dataset with xarray takes about 20 seconds (out of the cloud)\n",
+    "\n",
+    "This means serially processing SPL4SMGP..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "69d86daa-0362-4eb6-8215-7abfea25e046",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4269.85 GB of data will take 7.11 days!\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"{round(sum([g.size() for g in results])/1024,2)} GB of data will take {round(len(results) * 20 / (60 * 60 * 24), 2)} days!\")"
+   ]
+  },
+  {
+   "attachments": {
+    "a0fa1797-e4dd-46fe-be59-ff4ecc997770.png": {
+     "image/png": 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+    }
+   },
+   "cell_type": "markdown",
+   "id": "ccfdfc10-5699-41b5-8bd9-803e93e17c7a",
+   "metadata": {},
+   "source": [
+    "<img src=\"attachment:a0fa1797-e4dd-46fe-be59-ff4ecc997770.png\" width=\"50%\"/>\n",
+    "\n",
+    "\n",
+    "**Downloading and processing 4TB of data (broadband) ~= 18 hours to a day**\n",
+    " * If we have the storage and compute available, downloading is not a bad option but we are creating copies that later need to be synced or potentially reprocessed.\n",
+    "\n",
+    "Virtualized access is awesome when it works but:\n",
+    " \n",
+    "**Requirements**\n",
+    "\n",
+    "* Homogeneous data\n",
+    "  * compression\n",
+    "  * variable names\n",
+    "  * grids\n",
+    "  * chunking\n",
+    "* Chunk size:\n",
+    "  * Small chunks produce a lot of metadata\n",
+    "  * chunks on most collections are small\n",
+    "* CF conventions\n",
+    "  * help libraries understand the data\n",
+    "  * well defined dimensions\n",
+    "  * well defined coordinates\n",
+    "\n",
+    "**Advantages**\n",
+    "\n",
+    "* Bypassing the HDF5 limitations\n",
+    "  * Global thread lock (concurrency)\n",
+    "* Metadata consolidation\n",
+    "  * Whole collection\n",
+    "  * Area of Interest\n",
+    "  * Temporal\n",
+    "  * Combination of both if chunks align \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "beff7bfc-a9ab-4cd2-865b-82a5153c3ad5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def preprocess_smap_SPL4SMGP(ds):\n",
+    "    fname = ds.attrs.get(\"Filename\", \"\")\n",
+    "    actual_fname = fname.split(\"/\")[-1]\n",
+    "    granules = ea.search_data(\n",
+    "        short_name=\"SPL4SMGP\",\n",
+    "        version=\"008\",\n",
+    "        cloud_hosted=True,\n",
+    "        granule_name=f\"*{actual_fname}*\"\n",
+    "    )\n",
+    "    if len(granules)>0:\n",
+    "        # this code requires code that as not been upstreamed to earthaccess as of 10/06/2025 \n",
+    "        # but is available in https://github.com/betolink/earthaccess/tree/virtual-smap \n",
+    "        vds_vars = ea.open_virtual_dataset(granules[0], group=\"Geophysical_Data\", load=False)\n",
+    "    match = re.search(r\"_(\\d{8}T\\d{6})_\", fname)\n",
+    "    if match:\n",
+    "        timestamp = pd.to_datetime(match.group(1), format=\"%Y%m%dT%H%M%S\")\n",
+    "        ds = ds.assign_coords(time=timestamp)\n",
+    "        vds_vars = vds_vars.assign_coords(time=timestamp)\n",
+    "    else:\n",
+    "        ds = ds.assign_coords(time=pd.NaT)\n",
+    "        vds_vars = vds_vars.assign_coords(time=pd.NaT)\n",
+    "    if len(granules)>0:\n",
+    "        ds = xr.merge([ds, vds_vars], compat=\"override\")    \n",
+    "    return ds\n",
+    "\n",
+    "open_root_options = {\n",
+    "    \"access\": \"indirect\",  # access to cloud data (faster in AWS with \"direct\")\n",
+    "    \"load\": False,  # Load dimension metadata (required for indexing)\n",
+    "    \"concat_dim\": \"time\",  # Concatenate files along the time dimension\n",
+    "    \"preprocess\": preprocess_smap_SPL4SMGP, # Normalize the dataframe \n",
+    "    \"data_vars\": \"minimal\",  # Only load data variables that include the concat_dim\n",
+    "    \"coords\": \"minimal\",  # Only load coordinate variables that include the concat_dim\n",
+    "    \"compat\": \"override\",  # Avoid coordinate conflicts by picking the first\n",
+    "    \"combine_attrs\": \"override\",  # Avoid attribute conflicts by picking the first\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "4908e3c7-5a37-49ee-a1ca-dec461d21d38",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 2.54 s, sys: 629 ms, total: 3.17 s\n",
+      "Wall time: 22.8 s\n"
+     ]
+    },
+    {
+     "data": {
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+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 20GB\n",
+       "Dimensions:                            (time: 16, y: 1624, x: 3856)\n",
+       "Coordinates:\n",
+       "  * y                                  (y) float64 13kB 7.31e+06 ... -7.31e+06\n",
+       "  * x                                  (x) float64 31kB -1.736e+07 ... 1.736e+07\n",
+       "  * time                               (time) datetime64[ns] 128B 2015-03-31T...\n",
+       "Data variables: (12/49)\n",
+       "    cell_row                           (time, y, x) uint32 401MB ManifestArra...\n",
+       "    cell_column                        (time, y, x) uint32 401MB ManifestArra...\n",
+       "    cell_lon                           (time, y, x) float32 401MB ManifestArr...\n",
+       "    cell_lat                           (time, y, x) float32 401MB ManifestArr...\n",
+       "    surface_pressure                   (time, y, x) float32 401MB ManifestArr...\n",
+       "    heat_flux_ground                   (time, y, x) float32 401MB ManifestArr...\n",
+       "    ...                                 ...\n",
+       "    soil_water_infiltration_flux       (time, y, x) float32 401MB ManifestArr...\n",
+       "    windspeed_lowatmmodlay             (time, y, x) float32 401MB ManifestArr...\n",
+       "    sm_rootzone_pctl                   (time, y, x) float32 401MB ManifestArr...\n",
+       "    free_surface_water_on_peat_flux    (time, y, x) float32 401MB ManifestArr...\n",
+       "    net_downward_shortwave_flux        (time, y, x) float32 401MB ManifestArr...\n",
+       "    soil_temp_layer2                   (time, y, x) float32 401MB ManifestArr...\n",
+       "Attributes:\n",
+       "    Source:       v18.1.0\n",
+       "    Institution:  NASA Global Modeling and Assimilation Office\n",
+       "    History:      File written by ldas2daac.x\n",
+       "    Comment:      HDF-5\n",
+       "    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/...\n",
+       "    Title:        SMAP L4_SM Geophysical (GPH) Data Granule\n",
+       "    Conventions:  CF\n",
+       "    References:   see SMAP L4_SM Product Specification Documentation\n",
+       "    Contact:      http://gmao.gsfc.nasa.gov</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4281f7db-7e92-41b2-9cf9-9cc45fe0798b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4281f7db-7e92-41b2-9cf9-9cc45fe0798b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 16</li><li><span class='xr-has-index'>y</span>: 1624</li><li><span class='xr-has-index'>x</span>: 3856</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b26b83cd-90dc-4c48-b589-e31f66627969' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b26b83cd-90dc-4c48-b589-e31f66627969' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.31e+06 7.301e+06 ... -7.31e+06</div><input id='attrs-77947591-1515-4206-909f-d98ce36e0093' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77947591-1515-4206-909f-d98ce36e0093' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-901f9bcc-e508-4198-8c22-ef8096f603c2' class='xr-var-data-in' type='checkbox'><label for='data-901f9bcc-e508-4198-8c22-ef8096f603c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Y coordinate of cell center in EASE 2.0 global projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 7310037.171387,  7301029.115723,  7292021.060059, ..., -7292021.060059,\n",
+       "       -7301029.115723, -7310037.171387], shape=(1624,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.736e+07 -1.735e+07 ... 1.736e+07</div><input id='attrs-f487f72b-2520-43be-a60a-2a134b2c1e05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f487f72b-2520-43be-a60a-2a134b2c1e05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9e15a41-7a7b-4f52-bec6-d69c7953b469' class='xr-var-data-in' type='checkbox'><label for='data-b9e15a41-7a7b-4f52-bec6-d69c7953b469' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>X coordinate of cell center in EASE 2.0 global projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-17363027.29248 , -17354019.236816, -17345011.181152, ...,\n",
+       "        17345011.181152,  17354019.236816,  17363027.29248 ], shape=(3856,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-03-31T01:30:00 ... 2015-04-...</div><input id='attrs-c4fab75f-5ab6-4060-8423-b82b3689f774' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4fab75f-5ab6-4060-8423-b82b3689f774' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0fedda3-de92-4cf7-aec7-58d01010b000' class='xr-var-data-in' type='checkbox'><label for='data-b0fedda3-de92-4cf7-aec7-58d01010b000' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2015-03-31T01:30:00.000000000&#x27;, &#x27;2015-03-31T04:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T07:30:00.000000000&#x27;, &#x27;2015-03-31T10:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T13:30:00.000000000&#x27;, &#x27;2015-03-31T16:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T19:30:00.000000000&#x27;, &#x27;2015-03-31T22:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T01:30:00.000000000&#x27;, &#x27;2015-04-01T04:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T07:30:00.000000000&#x27;, &#x27;2015-04-01T10:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T13:30:00.000000000&#x27;, &#x27;2015-04-01T16:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T19:30:00.000000000&#x27;, &#x27;2015-04-01T22:30:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be8911c2-155e-4d39-a1b6-2f8357b9ea99' class='xr-section-summary-in' type='checkbox'  ><label for='section-be8911c2-155e-4d39-a1b6-2f8357b9ea99' class='xr-section-summary' >Data variables: <span>(49)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>cell_row</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-9d7e6e86-2069-4121-8c45-31e7c2505f0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d7e6e86-2069-4121-8c45-31e7c2505f0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3d75434-3a7c-4007-b104-02307efd5c40' class='xr-var-data-in' type='checkbox'><label for='data-f3d75434-3a7c-4007-b104-02307efd5c40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>The row index of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Type is Unsigned32.</dd><dt><span>valid_max :</span></dt><dd>1623</dd><dt><span>_FillValue :</span></dt><dd>4294967294</dd><dt><span>fmissing_value :</span></dt><dd>4294967294</dd><dt><span>missing_value :</span></dt><dd>4294967294</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=uint32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_column</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-09fc5390-bde8-485a-a457-c24629e67524' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09fc5390-bde8-485a-a457-c24629e67524' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6643db7b-7609-42d4-9ef3-dac63e41b58c' class='xr-var-data-in' type='checkbox'><label for='data-6643db7b-7609-42d4-9ef3-dac63e41b58c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>The column index of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Type is Unsigned32.</dd><dt><span>valid_max :</span></dt><dd>3855</dd><dt><span>_FillValue :</span></dt><dd>4294967294</dd><dt><span>fmissing_value :</span></dt><dd>4294967294</dd><dt><span>missing_value :</span></dt><dd>4294967294</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=uint32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_lon</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-0c2f9486-4341-4e50-be92-dc8d0aa53446' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c2f9486-4341-4e50-be92-dc8d0aa53446' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ace2d2e5-cc1f-482f-b5c4-ffc0171ab5fe' class='xr-var-data-in' type='checkbox'><label for='data-ace2d2e5-cc1f-482f-b5c4-ffc0171ab5fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>The longitude of the center of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Zero longitude represents the Prime Meridian. Positive longitudes represent locations to the East of the Prime Meridian. Negative longitudes represent locations to the West of the Prime Meridian.</dd><dt><span>valid_max :</span></dt><dd>179.99899291992188</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_lat</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-4fe15e45-4965-4f67-b007-f9797a6402a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fe15e45-4965-4f67-b007-f9797a6402a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21928409-8f1a-452c-bd91-9e790a46f262' class='xr-var-data-in' type='checkbox'><label for='data-21928409-8f1a-452c-bd91-9e790a46f262' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>The geodetic latitude of the center of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Zero latitude represents the Equator. Positive latitudes represent locations North of the Equator. Negative latitudes represent locations South of the Equator.</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_pressure</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-00a257d5-a475-4785-9b86-89d89a417748' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00a257d5-a475-4785-9b86-89d89a417748' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2b3c848-1b92-4edb-8d52-dada898a2b22' class='xr-var-data-in' type='checkbox'><label for='data-c2b3c848-1b92-4edb-8d52-dada898a2b22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface pressure</dd><dt><span>valid_max :</span></dt><dd>110000.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>40000.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_flux_ground</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-e3791ec8-c601-465a-9553-6935bfaf76ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3791ec8-c601-465a-9553-6935bfaf76ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99722772-5e0c-4835-80d0-182ab2b7279c' class='xr-var-data-in' type='checkbox'><label for='data-99722772-5e0c-4835-80d0-182ab2b7279c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Downward ground heat flux into layer 1 of soil heat diffusion model</dd><dt><span>valid_max :</span></dt><dd>1000.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_fraction_wilting</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-3578e6d9-8f07-442e-ba8e-d6be69e1ae36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3578e6d9-8f07-442e-ba8e-d6be69e1ae36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f64ef4cf-2840-4dce-a686-f450111170a2' class='xr-var-data-in' type='checkbox'><label for='data-f64ef4cf-2840-4dce-a686-f450111170a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fractional land area that is wilting and snow-free (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temp_layer5</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-2082e241-7b9a-4777-8f53-0ae851c97f4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2082e241-7b9a-4777-8f53-0ae851c97f4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88764543-0cb3-4bce-91ef-87e5ba789cf7' class='xr-var-data-in' type='checkbox'><label for='data-88764543-0cb3-4bce-91ef-87e5ba789cf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature in layer 5 of soil heat diffusion model</dd><dt><span>valid_max :</span></dt><dd>325.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>225.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_rootzone</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-7fa77c7b-0d3e-4491-b79b-d784452a9a86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fa77c7b-0d3e-4491-b79b-d784452a9a86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46016d84-5890-468a-8a39-d0293867cfbb' class='xr-var-data-in' type='checkbox'><label for='data-46016d84-5890-468a-8a39-d0293867cfbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root zone soil moisture (0-100 cm)</dd><dt><span>valid_max :</span></dt><dd>0.8999999761581421</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m3 m-3</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radiation_longwave_absorbed_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-7b5dd23e-e4c3-4da6-ad52-768cc8daff64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b5dd23e-e4c3-4da6-ad52-768cc8daff64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d994bd47-a1f7-4917-8082-f5304ee41963' class='xr-var-data-in' type='checkbox'><label for='data-d994bd47-a1f7-4917-8082-f5304ee41963' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Absorbed (downward) longwave radiation at the surface</dd><dt><span>valid_max :</span></dt><dd>800.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>35.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>specific_humidity_lowatmmodlay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-01b15586-fc24-4334-94e6-ec05125910a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01b15586-fc24-4334-94e6-ec05125910a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c92b106-33b2-4b6d-b95c-fab75a4dd003' class='xr-var-data-in' type='checkbox'><label for='data-1c92b106-33b2-4b6d-b95c-fab75a4dd003' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Air specific humidity at center height of lowest atmospheric model layer</dd><dt><span>valid_max :</span></dt><dd>0.4000000059604645</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_to_water_table_from_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-3686025d-54c9-4239-a666-b706fef15e5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3686025d-54c9-4239-a666-b706fef15e5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63a35f24-3088-447c-8038-29f13ea14d13' class='xr-var-data-in' type='checkbox'><label for='data-63a35f24-3088-447c-8038-29f13ea14d13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Depth to water table from surface.</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_temp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-1ffdf7f8-9acc-4a79-81ad-1ce517c4f018' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ffdf7f8-9acc-4a79-81ad-1ce517c4f018' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-403d3b81-a696-486e-9989-fdffb47db079' class='xr-var-data-in' type='checkbox'><label for='data-403d3b81-a696-486e-9989-fdffb47db079' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean land surface temperature (incl. snow-covered land area). Excluding areas of open water and permanent ice.</dd><dt><span>valid_max :</span></dt><dd>350.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mwrtm_vegopacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-3794bf40-aecc-483b-844c-caf2e5acaae0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3794bf40-aecc-483b-844c-caf2e5acaae0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9b5917f-039e-480c-9c51-ab19a0d6d918' class='xr-var-data-in' type='checkbox'><label for='data-f9b5917f-039e-480c-9c51-ab19a0d6d918' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Microwave radiative transfer model: Vegetation opacity.</dd><dt><span>valid_max :</span></dt><dd>2.5</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_lowatmmodlay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-7256cee1-0ac5-4088-bcdb-ad3caba313eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7256cee1-0ac5-4088-bcdb-ad3caba313eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a7a2929-308f-4359-a08c-0d8dc06b1e69' class='xr-var-data-in' type='checkbox'><label for='data-1a7a2929-308f-4359-a08c-0d8dc06b1e69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Air temperature at center height of lowest atmospheric model layer</dd><dt><span>valid_max :</span></dt><dd>350.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>net_downward_longwave_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-987c346f-13e8-4048-846c-8449c199846e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-987c346f-13e8-4048-846c-8449c199846e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1da6b008-2b1b-4a42-b31b-a8bdaefb2531' class='xr-var-data-in' type='checkbox'><label for='data-1da6b008-2b1b-4a42-b31b-a8bdaefb2531' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Net downward longwave flux over land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>200.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_mass</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-361881c7-3e64-4ad3-8868-ca23585892d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-361881c7-3e64-4ad3-8868-ca23585892d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08b81afc-5aa9-4f4c-ba4f-71167524bb7d' class='xr-var-data-in' type='checkbox'><label for='data-08b81afc-5aa9-4f4c-ba4f-71167524bb7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Average snow mass (or snow water equivalent) over land fraction of grid cell (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>10000.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_total_surface_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-25550715-f7ae-4cbd-a01e-567fe6933423' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25550715-f7ae-4cbd-a01e-567fe6933423' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab62ce8a-2c24-408e-a5e3-b9e1feee2892' class='xr-var-data-in' type='checkbox'><label for='data-ab62ce8a-2c24-408e-a5e3-b9e1feee2892' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total surface precipitation (incl. snow fall)</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_surface_wetness</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-bc4c6a29-039e-4fe6-b8d3-aa7067eabfe0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc4c6a29-039e-4fe6-b8d3-aa7067eabfe0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b880d02d-093d-41a0-bbb2-db49aaa4f36f' class='xr-var-data-in' type='checkbox'><label for='data-b880d02d-093d-41a0-bbb2-db49aaa4f36f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top layer soil wetness (0-5 cm; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively.  See also Appendix E in the PSD.</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_profile_wetness</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-c8357c69-b8df-46a5-bed0-2eb4b95cb184' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8357c69-b8df-46a5-bed0-2eb4b95cb184' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-827c5677-53ae-42d2-a524-ee73e511a47b' class='xr-var-data-in' type='checkbox'><label for='data-827c5677-53ae-42d2-a524-ee73e511a47b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total profile soil wetness (0 cm to model bedrock depth; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively.  See also Appendix E in the PSD.</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_depth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-b9de8792-f4f6-4b94-9215-6eb0321bafb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9de8792-f4f6-4b94-9215-6eb0321bafb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc042fb0-0d24-4c53-9346-fa8fc06de7b1' class='xr-var-data-in' type='checkbox'><label for='data-dc042fb0-0d24-4c53-9346-fa8fc06de7b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snow depth within snow-covered land fraction of grid cell (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>50.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_lowatmmodlay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-44b1118b-2a08-43fc-a1ff-f964e61e0cf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44b1118b-2a08-43fc-a1ff-f964e61e0cf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0407e334-52f1-421f-82f2-d57df1e9d90d' class='xr-var-data-in' type='checkbox'><label for='data-0407e334-52f1-421f-82f2-d57df1e9d90d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Center height of lowest atmospheric model layer</dd><dt><span>valid_max :</span></dt><dd>80.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>40.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>baseflow_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-e09b9ade-532e-4a8e-8257-93a6fdb944a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e09b9ade-532e-4a8e-8257-93a6fdb944a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa104129-e623-4631-a763-68cbd310c5c1' class='xr-var-data-in' type='checkbox'><label for='data-fa104129-e623-4631-a763-68cbd310c5c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Baseflow</dd><dt><span>valid_max :</span></dt><dd>0.009999999776482582</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_profile_pctl</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-70211b68-483c-42e9-ab38-ccae816dad28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70211b68-483c-42e9-ab38-ccae816dad28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d903f0c-963e-45ce-bf26-a3d4b77efe4a' class='xr-var-data-in' type='checkbox'><label for='data-9d903f0c-963e-45ce-bf26-a3d4b77efe4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total profile soil moisture (0 cm to model bedrock depth; percentile units)</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_fraction_saturated</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-3f530f86-47db-410d-a315-81758777e870' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f530f86-47db-410d-a315-81758777e870' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7063dc8b-3784-410e-b826-41e403110853' class='xr-var-data-in' type='checkbox'><label for='data-7063dc8b-3784-410e-b826-41e403110853' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fractional land area that is saturated and snow-free (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snowfall_surface_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-39a4750c-0e60-48dd-9638-184e8a56c576' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39a4750c-0e60-48dd-9638-184e8a56c576' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17c5555f-50f8-4715-9853-92fc2d394bde' class='xr-var-data-in' type='checkbox'><label for='data-17c5555f-50f8-4715-9853-92fc2d394bde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface snow fall</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_fraction_unsaturated</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-76a27bc6-15f8-40ea-a312-5405b2b872ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76a27bc6-15f8-40ea-a312-5405b2b872ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2411469-4674-4d93-8db6-592af080f7d7' class='xr-var-data-in' type='checkbox'><label for='data-c2411469-4674-4d93-8db6-592af080f7d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fractional land area that is unsaturated (but non-wilting) and snow-free (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_rootzone_wetness</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-14342162-8c26-4715-b9af-5ce54048a08d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14342162-8c26-4715-b9af-5ce54048a08d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bde7b457-63c2-4d2a-aeb5-9faf1999d4f3' class='xr-var-data-in' type='checkbox'><label for='data-bde7b457-63c2-4d2a-aeb5-9faf1999d4f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root zone soil wetness (0-100 cm; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively.  See also Appendix E in the PSD.</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>leaf_area_index</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-6c50db21-5388-401b-8f85-b6ecf5e2809c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c50db21-5388-401b-8f85-b6ecf5e2809c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d3cca4-0aba-4568-bd14-6769f0f79b7a' class='xr-var-data-in' type='checkbox'><label for='data-64d3cca4-0aba-4568-bd14-6769f0f79b7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vegetation leaf area index</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m2 m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radiation_shortwave_downward_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-a2522f2f-1242-47ce-bff5-3d2d872d6b2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2522f2f-1242-47ce-bff5-3d2d872d6b2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf07c796-63b9-46fd-b155-0371003a13d5' class='xr-var-data-in' type='checkbox'><label for='data-cf07c796-63b9-46fd-b155-0371003a13d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Downward shortwave flux incident on the surface</dd><dt><span>valid_max :</span></dt><dd>1500.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-6d018f02-ddd2-4a5c-bd8f-b5b03324ff29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d018f02-ddd2-4a5c-bd8f-b5b03324ff29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1afd642a-fbce-4d09-81cc-41f169787b3e' class='xr-var-data-in' type='checkbox'><label for='data-1afd642a-fbce-4d09-81cc-41f169787b3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top layer soil moisture (0-5 cm)</dd><dt><span>valid_max :</span></dt><dd>0.8999999761581421</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m3 m-3</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temp_layer1</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-83c5a38c-5234-4577-903f-2f039df5929f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83c5a38c-5234-4577-903f-2f039df5929f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b7ed612-b1b6-4ccb-b9d0-cdc5023ed9b6' class='xr-var-data-in' type='checkbox'><label for='data-9b7ed612-b1b6-4ccb-b9d0-cdc5023ed9b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature in layer 1 of soil heat diffusion model</dd><dt><span>valid_max :</span></dt><dd>340.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>210.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_flux_sensible</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-44351a0a-38a4-4c44-a3c3-f851d726c5bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44351a0a-38a4-4c44-a3c3-f851d726c5bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4617b8e2-a614-46c6-8273-934bfa727ada' class='xr-var-data-in' type='checkbox'><label for='data-4617b8e2-a614-46c6-8273-934bfa727ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sensible heat flux from land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>3000.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>-2500.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temp_layer4</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-acd619d6-1013-4941-8636-83b65c6c4e9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acd619d6-1013-4941-8636-83b65c6c4e9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad9f748c-da8f-4fbb-b5c5-2a4398f6759a' class='xr-var-data-in' type='checkbox'><label for='data-ad9f748c-da8f-4fbb-b5c5-2a4398f6759a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature in layer 4 of soil heat diffusion model</dd><dt><span>valid_max :</span></dt><dd>325.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>220.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temp_layer6</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-e335f825-8b95-472b-8abe-82959b2a69f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e335f825-8b95-472b-8abe-82959b2a69f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba3eaf2b-9386-487f-8606-68f80134de4a' class='xr-var-data-in' type='checkbox'><label for='data-ba3eaf2b-9386-487f-8606-68f80134de4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature in layer 6 of soil heat diffusion model</dd><dt><span>valid_max :</span></dt><dd>320.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>230.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_fraction_snow_covered</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-ce43ef71-f7e2-4578-9dd7-77c4f9bd5f4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce43ef71-f7e2-4578-9dd7-77c4f9bd5f4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e6ab62c-1b23-4a27-b718-9af1de94b2b9' class='xr-var-data-in' type='checkbox'><label for='data-5e6ab62c-1b23-4a27-b718-9af1de94b2b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fractional land area that is snow-covered (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_evapotranspiration_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-e36a2e8a-0510-4573-848e-6f257335229d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e36a2e8a-0510-4573-848e-6f257335229d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0256b924-9f24-41e5-9dad-2c4410949303' class='xr-var-data-in' type='checkbox'><label for='data-0256b924-9f24-41e5-9dad-2c4410949303' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Evapotranspiration from land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>0.0010000000474974513</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>-0.0010000000474974513</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vegetation_greenness_fraction</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-0212b6ed-3618-4683-bac4-5aca32e5cd5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0212b6ed-3618-4683-bac4-5aca32e5cd5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-878fc77e-4b5c-4d1d-b644-905eb28c31c3' class='xr-var-data-in' type='checkbox'><label for='data-878fc77e-4b5c-4d1d-b644-905eb28c31c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vegetation &quot;greenness&quot; or fraction of transpiring leaves averaged over the land area (excluding areas of open water and permanent ice) of the grid cell</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_profile</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-352b10c3-1abc-4248-bf74-93fd1e2a3412' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-352b10c3-1abc-4248-bf74-93fd1e2a3412' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3b961c9-4607-46bb-955c-4215500d70a0' class='xr-var-data-in' type='checkbox'><label for='data-c3b961c9-4607-46bb-955c-4215500d70a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total profile soil moisture (0 cm to model bedrock depth)</dd><dt><span>valid_max :</span></dt><dd>0.8999999761581421</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m3 m-3</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temp_layer3</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-d0e36032-2611-4849-8d3f-9f1b1dd5a6f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0e36032-2611-4849-8d3f-9f1b1dd5a6f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d70ce0fd-872f-4a1a-b622-ade53972d0d2' class='xr-var-data-in' type='checkbox'><label for='data-d70ce0fd-872f-4a1a-b622-ade53972d0d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature in layer 3 of soil heat diffusion model</dd><dt><span>valid_max :</span></dt><dd>325.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>215.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>overland_runoff_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-16f0f84d-b3b3-4b54-b209-54c24c72e491' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16f0f84d-b3b3-4b54-b209-54c24c72e491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f66e91f-b870-4ea2-9c34-e71d23d058c8' class='xr-var-data-in' type='checkbox'><label for='data-1f66e91f-b870-4ea2-9c34-e71d23d058c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Overland (surface) runoff (including throughflow - excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_melt_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-ac27eae0-be56-48e3-8212-806e2aa85899' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac27eae0-be56-48e3-8212-806e2aa85899' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7409678-7603-4785-bbd2-f8916ab3f660' class='xr-var-data-in' type='checkbox'><label for='data-a7409678-7603-4785-bbd2-f8916ab3f660' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snowmelt (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_flux_latent</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-10043c12-1383-44fe-8ee5-8733b6fd38e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10043c12-1383-44fe-8ee5-8733b6fd38e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b226b9bc-0e4f-41bf-ad58-be42be50a821' class='xr-var-data-in' type='checkbox'><label for='data-b226b9bc-0e4f-41bf-ad58-be42be50a821' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latent heat flux from land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>3000.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>-2500.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_water_infiltration_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-aeb77601-cc74-4773-b830-e9a835810f9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aeb77601-cc74-4773-b830-e9a835810f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85c8dc0a-d260-4e0a-b62a-2560a705ed98' class='xr-var-data-in' type='checkbox'><label for='data-85c8dc0a-d260-4e0a-b62a-2560a705ed98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil water infiltration rate</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>windspeed_lowatmmodlay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-da3a3607-e9e2-4026-9825-501e9661c064' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da3a3607-e9e2-4026-9825-501e9661c064' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f5744bf-19cf-46d7-88d1-4671e3d21b47' class='xr-var-data-in' type='checkbox'><label for='data-0f5744bf-19cf-46d7-88d1-4671e3d21b47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface wind speed at center height of lowest atmospheric model layer</dd><dt><span>valid_max :</span></dt><dd>60.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>-60.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_rootzone_pctl</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-6ed1550f-3f8e-4fce-8913-5cda8a6fd1c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ed1550f-3f8e-4fce-8913-5cda8a6fd1c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d854efa-a360-4a83-9a82-5c6515f2171b' class='xr-var-data-in' type='checkbox'><label for='data-6d854efa-a360-4a83-9a82-5c6515f2171b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root zone soil moisture (0-100 cm; percentile units)</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>free_surface_water_on_peat_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-958013a2-3808-4e99-a0f4-21b2239f8efd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-958013a2-3808-4e99-a0f4-21b2239f8efd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-056c6765-419e-41c1-94ad-35687e2dd92d' class='xr-var-data-in' type='checkbox'><label for='data-056c6765-419e-41c1-94ad-35687e2dd92d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Free surface water flux on peatlands.</dd><dt><span>valid_max :</span></dt><dd>0.0010000000474974513</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>-0.0010000000474974513</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>net_downward_shortwave_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-b017389a-4907-4b16-a0f5-d3759514c4aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b017389a-4907-4b16-a0f5-d3759514c4aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78e9aeb6-b204-4edb-b8c1-71e803bf4208' class='xr-var-data-in' type='checkbox'><label for='data-78e9aeb6-b204-4edb-b8c1-71e803bf4208' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Net downward shortwave flux over land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>1365.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temp_layer2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>ManifestArray&lt;shape=(16, 1624, 3...</div><input id='attrs-a9533ffa-0ebd-451b-9dd0-d6d61f995843' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9533ffa-0ebd-451b-9dd0-d6d61f995843' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe3c70ac-5c6a-406a-a1d1-4bbc65c85f33' class='xr-var-data-in' type='checkbox'><label for='data-fe3c70ac-5c6a-406a-a1d1-4bbc65c85f33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature in layer 2 of soil heat diffusion model</dd><dt><span>valid_max :</span></dt><dd>330.0</dd><dt><span>_FillValue :</span></dt><dd>AAAAAICHw8A=</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>coordinates :</span></dt><dd>/cell_lat /cell_lon</dd><dt><span>valid_min :</span></dt><dd>210.0</dd></dl></div><div class='xr-var-data'><pre>ManifestArray&lt;shape=(16, 1624, 3856), dtype=float32, chunks=(1, 1624, 3856)&gt;</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a9d42b3-cf28-4e79-b59b-7d0797b04b6c' class='xr-section-summary-in' type='checkbox'  ><label for='section-8a9d42b3-cf28-4e79-b59b-7d0797b04b6c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2cd608b1-89ca-4688-bfdf-c6a1f86beb38' class='xr-index-data-in' type='checkbox'/><label for='index-2cd608b1-89ca-4688-bfdf-c6a1f86beb38' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 7310037.171386719,  7301029.115722656,  7292021.060058594,\n",
+       "        7283013.004394531,  7274004.948730469,  7264996.893066406,\n",
+       "        7255988.837402344,  7246980.781738281,  7237972.726074219,\n",
+       "        7228964.670410156,\n",
+       "       ...\n",
+       "       -7228964.670410156, -7237972.726074219, -7246980.781738281,\n",
+       "       -7255988.837402344, -7264996.893066406, -7274004.948730469,\n",
+       "       -7283013.004394531, -7292021.060058594, -7301029.115722656,\n",
+       "       -7310037.171386719],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=1624))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-35a6cf99-5f23-457e-bca8-bb904b5929fe' class='xr-index-data-in' type='checkbox'/><label for='index-35a6cf99-5f23-457e-bca8-bb904b5929fe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -17363027.29248047, -17354019.236816406, -17345011.181152344,\n",
+       "        -17336003.12548828,  -17326995.06982422, -17317987.014160156,\n",
+       "       -17308978.958496094,  -17299970.90283203,  -17290962.84716797,\n",
+       "       -17281954.791503906,\n",
+       "       ...\n",
+       "        17281954.791503906,   17290962.84716797,   17299970.90283203,\n",
+       "        17308978.958496094,  17317987.014160156,   17326995.06982422,\n",
+       "         17336003.12548828,  17345011.181152344,  17354019.236816406,\n",
+       "         17363027.29248047],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=3856))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-46ecb471-935b-4d2d-bb27-afd428826580' class='xr-index-data-in' type='checkbox'/><label for='index-46ecb471-935b-4d2d-bb27-afd428826580' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2015-03-31 01:30:00&#x27;, &#x27;2015-03-31 04:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 07:30:00&#x27;, &#x27;2015-03-31 10:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 13:30:00&#x27;, &#x27;2015-03-31 16:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 19:30:00&#x27;, &#x27;2015-03-31 22:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 01:30:00&#x27;, &#x27;2015-04-01 04:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 07:30:00&#x27;, &#x27;2015-04-01 10:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 13:30:00&#x27;, &#x27;2015-04-01 16:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 19:30:00&#x27;, &#x27;2015-04-01 22:30:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90e9d51b-4b29-4c61-9b25-629271065b2c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90e9d51b-4b29-4c61-9b25-629271065b2c' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Source :</span></dt><dd>v18.1.0</dd><dt><span>Institution :</span></dt><dd>NASA Global Modeling and Assimilation Office</dd><dt><span>History :</span></dt><dd>File written by ldas2daac.x</dd><dt><span>Comment :</span></dt><dd>HDF-5</dd><dt><span>Filename :</span></dt><dd>/discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/gph/Y2015/M03/D31/SMAP_L4_SM_gph_20150331T013000_Vv8010_001.h5</dd><dt><span>Title :</span></dt><dd>SMAP L4_SM Geophysical (GPH) Data Granule</dd><dt><span>Conventions :</span></dt><dd>CF</dd><dt><span>References :</span></dt><dd>see SMAP L4_SM Product Specification Documentation</dd><dt><span>Contact :</span></dt><dd>http://gmao.gsfc.nasa.gov</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 20GB\n",
+       "Dimensions:                            (time: 16, y: 1624, x: 3856)\n",
+       "Coordinates:\n",
+       "  * y                                  (y) float64 13kB 7.31e+06 ... -7.31e+06\n",
+       "  * x                                  (x) float64 31kB -1.736e+07 ... 1.736e+07\n",
+       "  * time                               (time) datetime64[ns] 128B 2015-03-31T...\n",
+       "Data variables: (12/49)\n",
+       "    cell_row                           (time, y, x) uint32 401MB ManifestArra...\n",
+       "    cell_column                        (time, y, x) uint32 401MB ManifestArra...\n",
+       "    cell_lon                           (time, y, x) float32 401MB ManifestArr...\n",
+       "    cell_lat                           (time, y, x) float32 401MB ManifestArr...\n",
+       "    surface_pressure                   (time, y, x) float32 401MB ManifestArr...\n",
+       "    heat_flux_ground                   (time, y, x) float32 401MB ManifestArr...\n",
+       "    ...                                 ...\n",
+       "    soil_water_infiltration_flux       (time, y, x) float32 401MB ManifestArr...\n",
+       "    windspeed_lowatmmodlay             (time, y, x) float32 401MB ManifestArr...\n",
+       "    sm_rootzone_pctl                   (time, y, x) float32 401MB ManifestArr...\n",
+       "    free_surface_water_on_peat_flux    (time, y, x) float32 401MB ManifestArr...\n",
+       "    net_downward_shortwave_flux        (time, y, x) float32 401MB ManifestArr...\n",
+       "    soil_temp_layer2                   (time, y, x) float32 401MB ManifestArr...\n",
+       "Attributes:\n",
+       "    Source:       v18.1.0\n",
+       "    Institution:  NASA Global Modeling and Assimilation Office\n",
+       "    History:      File written by ldas2daac.x\n",
+       "    Comment:      HDF-5\n",
+       "    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/...\n",
+       "    Title:        SMAP L4_SM Geophysical (GPH) Data Granule\n",
+       "    Conventions:  CF\n",
+       "    References:   see SMAP L4_SM Product Specification Documentation\n",
+       "    Contact:      http://gmao.gsfc.nasa.gov"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "# ~2 days of data\n",
+    "vds = ea.open_virtual_mfdataset(results[0:16], **open_root_options)\n",
+    "\n",
+    "# not persisting yet\n",
+    "# vds_root.virtualize.to_kerchunk(filepath=\"SPL4SMGP-all.json\", format=\"json\")\n",
+    "# vds_root.virtualize.to_kerchunk(filepath=\"SPL4SMGP-all.parquet\", format=\"parquet\")\n",
+    "vds"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5fab6ec0-0ec3-4cd0-841c-3f9b9843da14",
+   "metadata": {},
+   "source": [
+    "## Accessing Virtual Data Cubes\n",
+    "\n",
+    "Once created and persisted, virtual data cubes are accessible as Zarr regular stores. As of now there is not a canonical way to publish them and advertising them in CMR, although PODAAC/GESDISC have been prototyping using related-links. When we agree on what conventions to use accessing years worth of data will be as simple as \n",
+    "\n",
+    "```python\n",
+    "vds = earthaccess.smart_open(short_name=\"SPL4SMGP\", virtualized=True)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "70cbe56d-32c5-4ecf-ad32-fbe405cdef28",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 216 ms, sys: 42.5 ms, total: 259 ms\n",
+      "Wall time: 1.49 s\n"
+     ]
+    },
+    {
+     "data": {
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+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 20GB\n",
+       "Dimensions:                            (time: 16, y: 1624, x: 3856)\n",
+       "Coordinates:\n",
+       "  * y                                  (y) float64 13kB 7.31e+06 ... -7.31e+06\n",
+       "  * x                                  (x) float64 31kB -1.736e+07 ... 1.736e+07\n",
+       "  * time                               (time) datetime64[ns] 128B 2015-03-31T...\n",
+       "Data variables: (12/49)\n",
+       "    cell_row                           (time, y, x) float64 802MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    cell_column                        (time, y, x) float64 802MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    cell_lon                           (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    cell_lat                           (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    surface_pressure                   (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    heat_flux_ground                   (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    ...                                 ...\n",
+       "    soil_water_infiltration_flux       (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    windspeed_lowatmmodlay             (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    sm_rootzone_pctl                   (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    free_surface_water_on_peat_flux    (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    net_downward_shortwave_flux        (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "    soil_temp_layer2                   (time, y, x) float32 401MB dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    Source:       v18.1.0\n",
+       "    Institution:  NASA Global Modeling and Assimilation Office\n",
+       "    History:      File written by ldas2daac.x\n",
+       "    Comment:      HDF-5\n",
+       "    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/...\n",
+       "    Title:        SMAP L4_SM Geophysical (GPH) Data Granule\n",
+       "    Conventions:  CF\n",
+       "    References:   see SMAP L4_SM Product Specification Documentation\n",
+       "    Contact:      http://gmao.gsfc.nasa.gov</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b7e39802-83da-404a-ac54-b77057513f8b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b7e39802-83da-404a-ac54-b77057513f8b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 16</li><li><span class='xr-has-index'>y</span>: 1624</li><li><span class='xr-has-index'>x</span>: 3856</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-243240e6-41a3-4274-a7d0-3b64c9b0c1b9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-243240e6-41a3-4274-a7d0-3b64c9b0c1b9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.31e+06 7.301e+06 ... -7.31e+06</div><input id='attrs-3193bc9d-0124-4e9b-9914-8aa61869c9af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3193bc9d-0124-4e9b-9914-8aa61869c9af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2beab21-099d-4723-b0da-c04249382ae1' class='xr-var-data-in' type='checkbox'><label for='data-c2beab21-099d-4723-b0da-c04249382ae1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Y coordinate of cell center in EASE 2.0 global projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 7310037.171387,  7301029.115723,  7292021.060059, ..., -7292021.060059,\n",
+       "       -7301029.115723, -7310037.171387], shape=(1624,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.736e+07 -1.735e+07 ... 1.736e+07</div><input id='attrs-2becf64a-d29b-4bec-9385-455c5ad47a91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2becf64a-d29b-4bec-9385-455c5ad47a91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d09180e-607a-4b4a-a4b5-cf980017a35c' class='xr-var-data-in' type='checkbox'><label for='data-1d09180e-607a-4b4a-a4b5-cf980017a35c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>X coordinate of cell center in EASE 2.0 global projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-17363027.29248 , -17354019.236816, -17345011.181152, ...,\n",
+       "        17345011.181152,  17354019.236816,  17363027.29248 ], shape=(3856,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-03-31T01:30:00 ... 2015-04-...</div><input id='attrs-04a3b20f-2e62-43c7-8a73-a683fae022c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04a3b20f-2e62-43c7-8a73-a683fae022c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f45336e-e601-4d37-b755-1369186d0a1c' class='xr-var-data-in' type='checkbox'><label for='data-1f45336e-e601-4d37-b755-1369186d0a1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2015-03-31T01:30:00.000000000&#x27;, &#x27;2015-03-31T04:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T07:30:00.000000000&#x27;, &#x27;2015-03-31T10:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T13:30:00.000000000&#x27;, &#x27;2015-03-31T16:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T19:30:00.000000000&#x27;, &#x27;2015-03-31T22:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T01:30:00.000000000&#x27;, &#x27;2015-04-01T04:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T07:30:00.000000000&#x27;, &#x27;2015-04-01T10:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T13:30:00.000000000&#x27;, &#x27;2015-04-01T16:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T19:30:00.000000000&#x27;, &#x27;2015-04-01T22:30:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ca8818d-df37-48c9-8099-45ef0a1392b2' class='xr-section-summary-in' type='checkbox'  ><label for='section-9ca8818d-df37-48c9-8099-45ef0a1392b2' class='xr-section-summary' >Data variables: <span>(49)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>cell_row</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-2d2ce0a4-78ea-4005-ae38-76c08773d2ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d2ce0a4-78ea-4005-ae38-76c08773d2ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f64f1b93-d5c8-4d6e-93a6-ced09b9b26bb' class='xr-var-data-in' type='checkbox'><label for='data-f64f1b93-d5c8-4d6e-93a6-ced09b9b26bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>The row index of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Type is Unsigned32.</dd><dt><span>valid_max :</span></dt><dd>1623</dd><dt><span>fmissing_value :</span></dt><dd>4294967294</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 764.42 MiB </td>\n",
+       "                        <td> 47.78 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (16, 1624, 3856) </td>\n",
+       "                        <td> (1, 1624, 3856) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
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+       "\n",
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+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 764.42 MiB </td>\n",
+       "                        <td> 47.78 MiB </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_lon</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-4a2b62e0-e26f-4173-8a66-b9187eed0b2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a2b62e0-e26f-4173-8a66-b9187eed0b2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d44d94ee-3551-476c-b35a-2930d37fc406' class='xr-var-data-in' type='checkbox'><label for='data-d44d94ee-3551-476c-b35a-2930d37fc406' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>The longitude of the center of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Zero longitude represents the Prime Meridian. Positive longitudes represent locations to the East of the Prime Meridian. Negative longitudes represent locations to the West of the Prime Meridian.</dd><dt><span>valid_max :</span></dt><dd>179.99899291992188</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
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+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 23.89 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_lat</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-4d1b4971-32af-414a-a21b-85dacfab15dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d1b4971-32af-414a-a21b-85dacfab15dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8c00208-0533-4926-b182-c965f39e9a4c' class='xr-var-data-in' type='checkbox'><label for='data-c8c00208-0533-4926-b182-c965f39e9a4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>The geodetic latitude of the center of each cell in the cylindrical 9 km Earth-fixed EASE-Grid 2.0. Zero latitude represents the Equator. Positive latitudes represent locations North of the Equator. Negative latitudes represent locations South of the Equator.</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (16, 1624, 3856) </td>\n",
+       "                        <td> (1, 1624, 3856) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_flux_ground</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-3a285777-f5b4-48d1-bd23-caaee09144ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a285777-f5b4-48d1-bd23-caaee09144ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6760a14e-d28d-4a3b-ae29-9c9bb42b601e' class='xr-var-data-in' type='checkbox'><label for='data-6760a14e-d28d-4a3b-ae29-9c9bb42b601e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Downward ground heat flux into layer 1 of soil heat diffusion model</dd><dt><span>valid_max :</span></dt><dd>1000.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
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+       "                        <th> Bytes </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radiation_longwave_absorbed_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-862a827b-232f-4ecf-a06b-92e0175748f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-862a827b-232f-4ecf-a06b-92e0175748f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5cc2c8f-0838-4967-8fab-098e6ee0fae9' class='xr-var-data-in' type='checkbox'><label for='data-d5cc2c8f-0838-4967-8fab-098e6ee0fae9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Absorbed (downward) longwave radiation at the surface</dd><dt><span>valid_max :</span></dt><dd>800.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>35.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>specific_humidity_lowatmmodlay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-ea47754b-7d37-489f-989c-cbc762fe0ecd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea47754b-7d37-489f-989c-cbc762fe0ecd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f097ae90-ae97-48de-9f35-4f51bbc5ce7f' class='xr-var-data-in' type='checkbox'><label for='data-f097ae90-ae97-48de-9f35-4f51bbc5ce7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Air specific humidity at center height of lowest atmospheric model layer</dd><dt><span>valid_max :</span></dt><dd>0.4000000059604645</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
+       "                    \n",
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+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mwrtm_vegopacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-7ce0b824-8a69-4fa5-b4af-a50c65996eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ce0b824-8a69-4fa5-b4af-a50c65996eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-188610b6-734c-4008-b067-c368125c35b9' class='xr-var-data-in' type='checkbox'><label for='data-188610b6-734c-4008-b067-c368125c35b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Microwave radiative transfer model: Vegetation opacity.</dd><dt><span>valid_max :</span></dt><dd>2.5</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_lowatmmodlay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-65628959-bf97-49ce-bc40-dffca3b164b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65628959-bf97-49ce-bc40-dffca3b164b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4167cfb7-e970-4165-81e3-a96ed3398888' class='xr-var-data-in' type='checkbox'><label for='data-4167cfb7-e970-4165-81e3-a96ed3398888' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Air temperature at center height of lowest atmospheric model layer</dd><dt><span>valid_max :</span></dt><dd>350.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>net_downward_longwave_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-ca2dd844-4b53-4463-a884-a3a57507d509' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca2dd844-4b53-4463-a884-a3a57507d509' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7d433bb-3444-468c-a955-ae7d1e557f28' class='xr-var-data-in' type='checkbox'><label for='data-b7d433bb-3444-468c-a955-ae7d1e557f28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Net downward longwave flux over land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>200.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
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+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_total_surface_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-3ac03039-f06b-4ec2-81dc-f6292a18d494' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ac03039-f06b-4ec2-81dc-f6292a18d494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7708cc1-a689-4d70-a933-0c92bf360df4' class='xr-var-data-in' type='checkbox'><label for='data-e7708cc1-a689-4d70-a933-0c92bf360df4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total surface precipitation (incl. snow fall)</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_surface_wetness</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-8ceb9e39-a1cb-4cf1-adcd-f07ab6ade19a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ceb9e39-a1cb-4cf1-adcd-f07ab6ade19a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b357b2fd-00cf-4b0d-acc3-e9c6eeced3b3' class='xr-var-data-in' type='checkbox'><label for='data-b357b2fd-00cf-4b0d-acc3-e9c6eeced3b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top layer soil wetness (0-5 cm; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively.  See also Appendix E in the PSD.</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_profile_wetness</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-2e085690-4423-4e27-be85-5270d75bf3de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e085690-4423-4e27-be85-5270d75bf3de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-177d866d-e6d1-43c2-a132-578e9a0167ab' class='xr-var-data-in' type='checkbox'><label for='data-177d866d-e6d1-43c2-a132-578e9a0167ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total profile soil wetness (0 cm to model bedrock depth; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively.  See also Appendix E in the PSD.</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
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+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_depth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-2957d8e0-70e3-4953-aa26-04f35b0fd63c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2957d8e0-70e3-4953-aa26-04f35b0fd63c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e13520c2-02c2-4524-9f94-e9cdb3b2e955' class='xr-var-data-in' type='checkbox'><label for='data-e13520c2-02c2-4524-9f94-e9cdb3b2e955' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snow depth within snow-covered land fraction of grid cell (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>50.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
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+       "                        <th> Bytes </th>\n",
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+       "                        <th> Chunk </th>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>baseflow_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-6a2d1e11-0f8b-4281-ac57-68706bd62670' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a2d1e11-0f8b-4281-ac57-68706bd62670' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0dde730-c9d8-46b4-955f-7f1908a27dc6' class='xr-var-data-in' type='checkbox'><label for='data-d0dde730-c9d8-46b4-955f-7f1908a27dc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Baseflow</dd><dt><span>valid_max :</span></dt><dd>0.009999999776482582</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                </thead>\n",
+       "                <tbody>\n",
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+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_profile_pctl</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-5fdf89fd-f125-4b53-9613-860228d0023d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fdf89fd-f125-4b53-9613-860228d0023d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e3487e0-a583-4d0e-9d3c-703109632a0d' class='xr-var-data-in' type='checkbox'><label for='data-9e3487e0-a583-4d0e-9d3c-703109632a0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total profile soil moisture (0 cm to model bedrock depth; percentile units)</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_fraction_saturated</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-6918ede7-87ce-4eaa-96c9-04f753e3aa04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6918ede7-87ce-4eaa-96c9-04f753e3aa04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a40aca5a-8b1f-4e62-93f4-b362317dc818' class='xr-var-data-in' type='checkbox'><label for='data-a40aca5a-8b1f-4e62-93f4-b362317dc818' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fractional land area that is saturated and snow-free (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snowfall_surface_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-09757327-28c5-41ba-9bbe-14b66060d732' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09757327-28c5-41ba-9bbe-14b66060d732' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3bd76db-a359-44f9-b493-13e643137376' class='xr-var-data-in' type='checkbox'><label for='data-d3bd76db-a359-44f9-b493-13e643137376' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface snow fall</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (16, 1624, 3856) </td>\n",
+       "                        <td> (1, 1624, 3856) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_fraction_unsaturated</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-45d02ac9-2973-4cd1-a87f-64564b89479b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45d02ac9-2973-4cd1-a87f-64564b89479b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0db0e558-a569-498b-8fdf-fe1017c20f20' class='xr-var-data-in' type='checkbox'><label for='data-0db0e558-a569-498b-8fdf-fe1017c20f20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fractional land area that is unsaturated (but non-wilting) and snow-free (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <th> Bytes </th>\n",
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+       "        </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_rootzone_wetness</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-5b46a9be-6a8b-4384-aede-c8bf78d610a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b46a9be-6a8b-4384-aede-c8bf78d610a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d09f2a2-a202-40a6-b05a-d8d05b9fcdc8' class='xr-var-data-in' type='checkbox'><label for='data-2d09f2a2-a202-40a6-b05a-d8d05b9fcdc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root zone soil wetness (0-100 cm; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively.  See also Appendix E in the PSD.</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
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+       "                    <tr>\n",
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+       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>leaf_area_index</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-e7b51a63-b9d5-4f7f-868f-345d8c597f10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7b51a63-b9d5-4f7f-868f-345d8c597f10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0c618c0-cd45-491d-a401-b737dfa23032' class='xr-var-data-in' type='checkbox'><label for='data-d0c618c0-cd45-491d-a401-b737dfa23032' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vegetation leaf area index</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m2 m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radiation_shortwave_downward_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-41fdb6a9-0357-47ca-9e7f-73797a597e1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41fdb6a9-0357-47ca-9e7f-73797a597e1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1cefd79-2468-45c8-a55f-eea702459020' class='xr-var-data-in' type='checkbox'><label for='data-b1cefd79-2468-45c8-a55f-eea702459020' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Downward shortwave flux incident on the surface</dd><dt><span>valid_max :</span></dt><dd>1500.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "                        <td> </td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                        <td> 23.89 MiB </td>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-44963096-48f1-4f5d-85f6-11f7132338cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44963096-48f1-4f5d-85f6-11f7132338cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a89d519-8e4f-4ed1-8618-a9bd3dbb9ecb' class='xr-var-data-in' type='checkbox'><label for='data-0a89d519-8e4f-4ed1-8618-a9bd3dbb9ecb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top layer soil moisture (0-5 cm)</dd><dt><span>valid_max :</span></dt><dd>0.8999999761581421</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m3 m-3</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
+       "                        <td> (16, 1624, 3856) </td>\n",
+       "                        <td> (1, 1624, 3856) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_evapotranspiration_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-34c0c4ac-1bc6-401d-bbb7-9d8d9522d475' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34c0c4ac-1bc6-401d-bbb7-9d8d9522d475' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11648890-01a6-4a09-82c2-31ee98519c24' class='xr-var-data-in' type='checkbox'><label for='data-11648890-01a6-4a09-82c2-31ee98519c24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Evapotranspiration from land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>0.0010000000474974513</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-0.0010000000474974513</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
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+       "                <thead>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vegetation_greenness_fraction</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-33155e9e-421e-4800-a414-78ce707e3988' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33155e9e-421e-4800-a414-78ce707e3988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65058a1b-350c-446c-938f-ca84da1573ec' class='xr-var-data-in' type='checkbox'><label for='data-65058a1b-350c-446c-938f-ca84da1573ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vegetation &quot;greenness&quot; or fraction of transpiring leaves averaged over the land area (excluding areas of open water and permanent ice) of the grid cell</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
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+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 16 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_profile</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-305bbb5d-98e4-4b64-a6f6-4bc418deb3f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-305bbb5d-98e4-4b64-a6f6-4bc418deb3f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9c64657-66e3-4020-bd34-cce57a202040' class='xr-var-data-in' type='checkbox'><label for='data-a9c64657-66e3-4020-bd34-cce57a202040' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total profile soil moisture (0 cm to model bedrock depth)</dd><dt><span>valid_max :</span></dt><dd>0.8999999761581421</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m3 m-3</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
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+       "            <table style=\"border-collapse: collapse;\">\n",
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+       "                    \n",
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+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>overland_runoff_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-6c2be94a-5fbc-4811-9713-d2d29a804d66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c2be94a-5fbc-4811-9713-d2d29a804d66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca52742a-a6ac-48f6-a4df-9562e5a7ad9b' class='xr-var-data-in' type='checkbox'><label for='data-ca52742a-a6ac-48f6-a4df-9562e5a7ad9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Overland (surface) runoff (including throughflow - excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_melt_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-b89c49e2-2e44-411f-b35e-01fcf4b8a1f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b89c49e2-2e44-411f-b35e-01fcf4b8a1f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03f6dd2c-50a9-4fd3-bbbd-2253225533a5' class='xr-var-data-in' type='checkbox'><label for='data-03f6dd2c-50a9-4fd3-bbbd-2253225533a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snowmelt (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
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+       "                    <tr>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heat_flux_latent</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-559cb0bb-e84d-4144-bccb-df04c25e432d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-559cb0bb-e84d-4144-bccb-df04c25e432d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db729430-f982-412b-a892-3ea789215987' class='xr-var-data-in' type='checkbox'><label for='data-db729430-f982-412b-a892-3ea789215987' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latent heat flux from land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>3000.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-2500.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                <tbody>\n",
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+       "                    <tr>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_water_infiltration_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-b5ee4c2a-3e46-4b42-be88-2d4e38ae4ea1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5ee4c2a-3e46-4b42-be88-2d4e38ae4ea1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03505d63-0b80-465a-aba8-89e7f5e8e2e5' class='xr-var-data-in' type='checkbox'><label for='data-03505d63-0b80-465a-aba8-89e7f5e8e2e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil water infiltration rate</dd><dt><span>valid_max :</span></dt><dd>0.05000000074505806</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        <td>\n",
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+       "                        <td> 382.21 MiB </td>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>windspeed_lowatmmodlay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-c7023e4a-aa6e-434b-9518-8578892ba520' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7023e4a-aa6e-434b-9518-8578892ba520' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdcbbb1d-5847-4696-b6bc-54f954716406' class='xr-var-data-in' type='checkbox'><label for='data-bdcbbb1d-5847-4696-b6bc-54f954716406' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface wind speed at center height of lowest atmospheric model layer</dd><dt><span>valid_max :</span></dt><dd>60.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>-60.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "                    <tr>\n",
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+       "                    </tr>\n",
+       "                </thead>\n",
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+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
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+       "                        <th> Data type </th>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sm_rootzone_pctl</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-d8ec9f56-a9e6-44de-9d84-99d516d0bc04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8ec9f56-a9e6-44de-9d84-99d516d0bc04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a803d5eb-b283-4753-b99c-a3a4034fc2c7' class='xr-var-data-in' type='checkbox'><label for='data-a803d5eb-b283-4753-b99c-a3a4034fc2c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root zone soil moisture (0-100 cm; percentile units)</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 382.21 MiB </td>\n",
+       "                        <td> 23.89 MiB </td>\n",
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+       "                        <th> Shape </th>\n",
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+       "                        <td> (1, 1624, 3856) </td>\n",
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+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
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+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>net_downward_shortwave_flux</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1624, 3856), meta=np.ndarray&gt;</div><input id='attrs-7b38a0e6-c501-48b2-baf7-12238faf6cca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b38a0e6-c501-48b2-baf7-12238faf6cca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e5ae99b-7c6d-40e3-b92c-fe5bda71c908' class='xr-var-data-in' type='checkbox'><label for='data-3e5ae99b-7c6d-40e3-b92c-fe5bda71c908' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Net downward shortwave flux over land (excluding areas of open water and permanent ice)</dd><dt><span>valid_max :</span></dt><dd>1365.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-32b14e65-c47f-4a68-918f-d754130a5fec' class='xr-section-summary-in' type='checkbox'  ><label for='section-32b14e65-c47f-4a68-918f-d754130a5fec' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1932141b-a5aa-4d83-af4f-c7f537cedd71' class='xr-index-data-in' type='checkbox'/><label for='index-1932141b-a5aa-4d83-af4f-c7f537cedd71' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 7310037.171386719,  7301029.115722656,  7292021.060058594,\n",
+       "        7283013.004394531,  7274004.948730469,  7264996.893066406,\n",
+       "        7255988.837402344,  7246980.781738281,  7237972.726074219,\n",
+       "        7228964.670410156,\n",
+       "       ...\n",
+       "       -7228964.670410156, -7237972.726074219, -7246980.781738281,\n",
+       "       -7255988.837402344, -7264996.893066406, -7274004.948730469,\n",
+       "       -7283013.004394531, -7292021.060058594, -7301029.115722656,\n",
+       "       -7310037.171386719],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=1624))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-744f0f7a-36c0-4067-a436-23d4b060455c' class='xr-index-data-in' type='checkbox'/><label for='index-744f0f7a-36c0-4067-a436-23d4b060455c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -17363027.29248047, -17354019.236816406, -17345011.181152344,\n",
+       "        -17336003.12548828,  -17326995.06982422, -17317987.014160156,\n",
+       "       -17308978.958496094,  -17299970.90283203,  -17290962.84716797,\n",
+       "       -17281954.791503906,\n",
+       "       ...\n",
+       "        17281954.791503906,   17290962.84716797,   17299970.90283203,\n",
+       "        17308978.958496094,  17317987.014160156,   17326995.06982422,\n",
+       "         17336003.12548828,  17345011.181152344,  17354019.236816406,\n",
+       "         17363027.29248047],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=3856))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7c03fd80-cc5f-4804-a509-12f90c915a9a' class='xr-index-data-in' type='checkbox'/><label for='index-7c03fd80-cc5f-4804-a509-12f90c915a9a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2015-03-31 01:30:00&#x27;, &#x27;2015-03-31 04:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 07:30:00&#x27;, &#x27;2015-03-31 10:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 13:30:00&#x27;, &#x27;2015-03-31 16:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 19:30:00&#x27;, &#x27;2015-03-31 22:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 01:30:00&#x27;, &#x27;2015-04-01 04:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 07:30:00&#x27;, &#x27;2015-04-01 10:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 13:30:00&#x27;, &#x27;2015-04-01 16:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 19:30:00&#x27;, &#x27;2015-04-01 22:30:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7388b4ab-0815-46f3-8a45-76f24fadd507' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7388b4ab-0815-46f3-8a45-76f24fadd507' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Source :</span></dt><dd>v18.1.0</dd><dt><span>Institution :</span></dt><dd>NASA Global Modeling and Assimilation Office</dd><dt><span>History :</span></dt><dd>File written by ldas2daac.x</dd><dt><span>Comment :</span></dt><dd>HDF-5</dd><dt><span>Filename :</span></dt><dd>/discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/gph/Y2015/M03/D31/SMAP_L4_SM_gph_20150331T013000_Vv8010_001.h5</dd><dt><span>Title :</span></dt><dd>SMAP L4_SM Geophysical (GPH) Data Granule</dd><dt><span>Conventions :</span></dt><dd>CF</dd><dt><span>References :</span></dt><dd>see SMAP L4_SM Product Specification Documentation</dd><dt><span>Contact :</span></dt><dd>http://gmao.gsfc.nasa.gov</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 20GB\n",
+       "Dimensions:                            (time: 16, y: 1624, x: 3856)\n",
+       "Coordinates:\n",
+       "  * y                                  (y) float64 13kB 7.31e+06 ... -7.31e+06\n",
+       "  * x                                  (x) float64 31kB -1.736e+07 ... 1.736e+07\n",
+       "  * time                               (time) datetime64[ns] 128B 2015-03-31T...\n",
+       "Data variables: (12/49)\n",
+       "    cell_row                           (time, y, x) float64 802MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    cell_column                        (time, y, x) float64 802MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    cell_lon                           (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    cell_lat                           (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    surface_pressure                   (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    heat_flux_ground                   (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    ...                                 ...\n",
+       "    soil_water_infiltration_flux       (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    windspeed_lowatmmodlay             (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    sm_rootzone_pctl                   (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    free_surface_water_on_peat_flux    (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    net_downward_shortwave_flux        (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "    soil_temp_layer2                   (time, y, x) float32 401MB dask.array<chunksize=(1, 1624, 3856), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    Source:       v18.1.0\n",
+       "    Institution:  NASA Global Modeling and Assimilation Office\n",
+       "    History:      File written by ldas2daac.x\n",
+       "    Comment:      HDF-5\n",
+       "    Filename:     /discover/nobackup/projects/gmao/smap/SMAP_L4/L4_SM/Vv8010/...\n",
+       "    Title:        SMAP L4_SM Geophysical (GPH) Data Granule\n",
+       "    Conventions:  CF\n",
+       "    References:   see SMAP L4_SM Product Specification Documentation\n",
+       "    Contact:      http://gmao.gsfc.nasa.gov"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "import fsspec\n",
+    "import json\n",
+    "import earthaccess as ea\n",
+    "\n",
+    "ea.login()\n",
+    "\n",
+    "\n",
+    "refs = vds.virtualize.to_kerchunk()\n",
+    "# refs = \"https://its-live-data.s3-us-west-2.amazonaws.com/test-space/vds/SPL4SMGP.parquet\"\n",
+    "daac_fs = ea.get_fsspec_https_session()\n",
+    "\n",
+    "fs = fsspec.filesystem(\"reference\",\n",
+    "                       fo=refs,\n",
+    "                       remote_protocol=\"https\",\n",
+    "                       asynchronous=True,\n",
+    "                       remote_options={\"asynchronous\": True, **daac_fs.storage_options}\n",
+    "                      )\n",
+    "\n",
+    "store = zarr.storage.FsspecStore(fs, read_only=True)\n",
+    "ds = xr.open_zarr(store, consolidated=False)\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "c9ed2908-9b62-4112-b07d-5ad784cc5ef9",
+   "metadata": {},
+   "outputs": [
+    {
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+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sm_surface_wetness&#x27; (time: 16)&gt; Size: 64B\n",
+       "dask.array&lt;getitem, shape=(16,), dtype=float32, chunksize=(1,), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "    y        float64 8B 3.563e+06\n",
+       "    x        float64 8B -1.069e+07\n",
+       "  * time     (time) datetime64[ns] 128B 2015-03-31T01:30:00 ... 2015-04-01T22...\n",
+       "Attributes:\n",
+       "    long_name:         Top layer soil wetness (0-5 cm; wetness units). Soil w...\n",
+       "    valid_max:         1.0\n",
+       "    fmissing_value:    -9999.0\n",
+       "    DIMENSION_LABELS:  [&#x27;y&#x27;, &#x27;x&#x27;]\n",
+       "    units:             dimensionless\n",
+       "    grid_mapping:      EASE2_global_projection\n",
+       "    valid_min:         0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sm_surface_wetness'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 16</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cc7a3a7c-bf9f-4114-b667-d77a0d650695' class='xr-array-in' type='checkbox' checked><label for='section-cc7a3a7c-bf9f-4114-b667-d77a0d650695' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 64 B </td>\n",
+       "                        <td> 4 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (16,) </td>\n",
+       "                        <td> (1,) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 16 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"85\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"35\" x2=\"120\" y2=\"35\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"35\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"35\" />\n",
+       "  <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"35\" />\n",
+       "  <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"35\" />\n",
+       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"35\" />\n",
+       "  <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"35\" />\n",
+       "  <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"35\" />\n",
+       "  <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"35\" />\n",
+       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"35\" />\n",
+       "  <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"35\" />\n",
+       "  <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"35\" />\n",
+       "  <line x1=\"82\" y1=\"0\" x2=\"82\" y2=\"35\" />\n",
+       "  <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"35\" />\n",
+       "  <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"35\" />\n",
+       "  <line x1=\"105\" y1=\"0\" x2=\"105\" y2=\"35\" />\n",
+       "  <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"35\" />\n",
+       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"35\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,35.85954734920875 0.0,35.85954734920875\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"60.000000\" y=\"55.859547\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >16</text>\n",
+       "  <text x=\"140.000000\" y=\"17.929774\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,17.929774)\">1</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-70bf07de-794f-4352-92bd-0f09398c5d20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70bf07de-794f-4352-92bd-0f09398c5d20' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.563e+06</div><input id='attrs-ce4f92e7-d2d0-4a48-9950-a87d412722e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce4f92e7-d2d0-4a48-9950-a87d412722e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d80e50b-8ba6-4575-adcd-5c8407ff7346' class='xr-var-data-in' type='checkbox'><label for='data-2d80e50b-8ba6-4575-adcd-5c8407ff7346' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Y coordinate of cell center in EASE 2.0 global projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(3562686.01513672)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.069e+07</div><input id='attrs-bf27645a-c431-417f-843a-bb4e91f9ff91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf27645a-c431-417f-843a-bb4e91f9ff91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6b9758c-5844-46cb-af65-84366c1f0ae5' class='xr-var-data-in' type='checkbox'><label for='data-c6b9758c-5844-46cb-af65-84366c1f0ae5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>X coordinate of cell center in EASE 2.0 global projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(-10688058.04541016)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-03-31T01:30:00 ... 2015-04-...</div><input id='attrs-4ca54b2b-2e87-4fd5-8748-fedfb3a71248' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ca54b2b-2e87-4fd5-8748-fedfb3a71248' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34462612-6432-4cfc-bacb-a6a1bd6e9b12' class='xr-var-data-in' type='checkbox'><label for='data-34462612-6432-4cfc-bacb-a6a1bd6e9b12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2015-03-31T01:30:00.000000000&#x27;, &#x27;2015-03-31T04:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T07:30:00.000000000&#x27;, &#x27;2015-03-31T10:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T13:30:00.000000000&#x27;, &#x27;2015-03-31T16:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-31T19:30:00.000000000&#x27;, &#x27;2015-03-31T22:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T01:30:00.000000000&#x27;, &#x27;2015-04-01T04:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T07:30:00.000000000&#x27;, &#x27;2015-04-01T10:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T13:30:00.000000000&#x27;, &#x27;2015-04-01T16:30:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T19:30:00.000000000&#x27;, &#x27;2015-04-01T22:30:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da03609f-c71c-4e9b-ba60-43aa79c73771' class='xr-section-summary-in' type='checkbox'  ><label for='section-da03609f-c71c-4e9b-ba60-43aa79c73771' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-172eda91-7f2c-4dad-afd4-18d4cbff04b7' class='xr-index-data-in' type='checkbox'/><label for='index-172eda91-7f2c-4dad-afd4-18d4cbff04b7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2015-03-31 01:30:00&#x27;, &#x27;2015-03-31 04:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 07:30:00&#x27;, &#x27;2015-03-31 10:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 13:30:00&#x27;, &#x27;2015-03-31 16:30:00&#x27;,\n",
+       "               &#x27;2015-03-31 19:30:00&#x27;, &#x27;2015-03-31 22:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 01:30:00&#x27;, &#x27;2015-04-01 04:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 07:30:00&#x27;, &#x27;2015-04-01 10:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 13:30:00&#x27;, &#x27;2015-04-01 16:30:00&#x27;,\n",
+       "               &#x27;2015-04-01 19:30:00&#x27;, &#x27;2015-04-01 22:30:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-65f2bd10-d86e-499c-a8a4-6f30711b40cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-65f2bd10-d86e-499c-a8a4-6f30711b40cb' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top layer soil wetness (0-5 cm; wetness units). Soil wetness units (dimensionless) vary between 0 and 1, indicating relative saturation between completely dry conditions and completely saturated conditions, respectively.  See also Appendix E in the PSD.</dd><dt><span>valid_max :</span></dt><dd>1.0</dd><dt><span>fmissing_value :</span></dt><dd>-9999.0</dd><dt><span>DIMENSION_LABELS :</span></dt><dd>[&#x27;y&#x27;, &#x27;x&#x27;]</dd><dt><span>units :</span></dt><dd>dimensionless</dd><dt><span>grid_mapping :</span></dt><dd>EASE2_global_projection</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'sm_surface_wetness' (time: 16)> Size: 64B\n",
+       "dask.array<getitem, shape=(16,), dtype=float32, chunksize=(1,), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "    y        float64 8B 3.563e+06\n",
+       "    x        float64 8B -1.069e+07\n",
+       "  * time     (time) datetime64[ns] 128B 2015-03-31T01:30:00 ... 2015-04-01T22...\n",
+       "Attributes:\n",
+       "    long_name:         Top layer soil wetness (0-5 cm; wetness units). Soil w...\n",
+       "    valid_max:         1.0\n",
+       "    fmissing_value:    -9999.0\n",
+       "    DIMENSION_LABELS:  ['y', 'x']\n",
+       "    units:             dimensionless\n",
+       "    grid_mapping:      EASE2_global_projection\n",
+       "    valid_min:         0.0"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def get_ts(ds, varname, lat, lon):\n",
+    "    WGS84 = ccrs.PlateCarree()\n",
+    "    EASEGrid2 = ccrs.epsg(6933)\n",
+    "    x, y = EASEGrid2.transform_point(lon, lat, WGS84)\n",
+    "    da = ds[varname].sel(x=x, y=y, method=\"nearest\")\n",
+    "    return da\n",
+    "\n",
+    "\n",
+    "# lat, lon = 40.0, -105.0\n",
+    "lon, lat = -110.78, 29.15\n",
+    "da = get_ts(ds, \"sm_surface_wetness\", lat, lon)\n",
+    "da"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "63f0f77a-40f9-4fb0-b703-98210937083b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 406 ms, sys: 109 ms, total: 515 ms\n",
+      "Wall time: 2.84 s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x77df791216d0>]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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NGzdK7ZeTk4PY2FiZ5tDR0YGiomKJY+vTpw9+/vln/Pnnnxg9enSJ++cnyuLj41GtWjUYGxsDgDh5/yF9fX1kZWXh/fv3EqtZC4tpx44duHLlCjp06CCuI75ixQrUr1+/0D75yUt7e/sCq6anTJkCQ0NDTJs2TeL4hzcSjIyMxCuMP5R/LP+6pF3fpyYIi6phXtRxkUj0SfMVJf/phPT0dISEhMhU4qUsP68flzPZs2cPhg4dKtPYxTEyMhKXZvlQSX/OH9crX7RoEaZOnYqHDx9CU1MTdevWFa8+zy+hk5ubC4FAgL///rvQn+eHN2pcXV3h7Owscf67777DtGnT0L59e/GxDxPl+e9ZUZ9jHR2dQlerX79+HS9evMCSJUsKnCutL+VzTEREVJkxsU5EREREX70BAwbA09MThw4dQlpaGhQUFNC/f3+p/SIjI8u9ZnV++YiPy6fIKjQ0FACgp6cHIC8haWhoWGjy8vXr11BWVoa6unqJYrK2tgYAaGhoSF0Rra2tXaCNtrY2jIyMiu1bv359XL16VVxSJt/NmzehqqoqTo46OjoCQJHXV7NmzWLj+xoEBwdjwYIFcHd3x7179zBixAjcv3+/2JshQNl+Xj++OVK7dm2ZxpWmfv368PX1RVJSksQGpvn10PNv3NStWxcKCgpF/pzzP+8f0tbWlkiGX7x4EdWqVRN/JqytrSESiWBpaSm1Xr2VlVWhpVHs7OyK/BybmJhAT08Pt2/fLnAuICCgyJtSBw4cgEAgwKBBg4qNiYiIiL4uTKwTERER0VdPV1cX33//Pfbv34/09HR07NgRurq6UvuVZc3quLg4VK1atUBJj507dwLIK12RLzExUbzJ44cbrn6cTHz16hV2796NevXqSaww7t+/P9atW4cLFy7gu+++E8//559/om3btuLEdWFjAsCuXbsgEAjQoEEDAHnJbGtra6xcuRKDBg2SWNlb3Dgl0adPHxw7dgwnTpxAnz59xDH/9ttv6Nq1q3ilb40aNWBvb48///wTcXFx4p/j+fPnERkZKVGm42uUlZWFoUOHwtjYGOvWrUNYWBgaNWqEyZMnY/fu3cX2LcvPa1mUlImLi0NcXBzMzMygqqoKIO/nvHLlSmzfvh1Tp04FkFc6Zc+ePWjcuLH4CQx1dXV06tQJp0+fxuPHj8XJ8X///Rd+fn5Sn+44cuQIbt26hZUrV4o/77169cKsWbMwf/587N+/X+LPokgkQnx8PKpWrfpJ19y7d2/s3bsXkZGR4mvx8fHB06dPMXny5ALts7Ky8Ntvv8HZ2blA+RYiIiL6ujGxTkRERETfBFdXV3HC9tdff5WpT1nWrN6/fz+2bt2KHj16wMrKCsnJyTh37hwuXLiArl27om3btuK2v//+O9zd3SXKb0yfPh3Pnz9Hu3btYGxsjPDwcGzbtg3v37/HunXrJOaaNWsWjh49it69e8PT0xOamprYunUrsrKysHjxYnG7RYsW4fr16+jYsSPMzMwQHx+P48eP49atW/Dw8BDXoBcKhdi5cye+//571K5dG+7u7jAxMcGrV6/g6+sLDQ0NnDp16pPenz59+qBJkyZwd3fHo0ePoKuri82bNyMnJ6dAres1a9bgu+++g7OzM0aPHo3ExESsXr0a1atXx9ixYz8pjvIydOhQ7N27V6KufGEWLlyIe/fuwcfHB+rq6qhXrx7mzJmD2bNno0+fPujUqVORfctjT4DC7Nu3Dy9evBBv7nnlyhXxhrE//PCDuF7/xo0bMX/+fInV8Y0bN0bfvn0xa9YsxMTEwMbGBnv37kV4eDh27dolMc/ixYvh4+ODtm3bijdvXb9+PXR0dMRlXvLnX7BgAdq3b4+qVavixo0b2LNnDzp27IiJEyeK21lbW2PhwoWYNWsWwsPD0aNHD6irqyMsLAy///47Ro0aJU72l9ZPP/2E3377DW3atMHEiRORkpKCFStWoG7dunB3dy/Q/ty5c3j79m2ZbVpKREREXw4m1omIiIjom9C1a1doa2sjNzcX3bp1++zz52+4eOjQIURHR0NeXh41atTA6tWrZVpl3b59e2zduhWbNm3Cu3fvoKWlhZYtW2L27NnileX5DAwMcO3aNUydOhVr1qxBVlYWmjZtiv3790usVO7cuTOeP3+O3bt3IzY2FsrKyqhXrx727NlTYKPS1q1bw9/fH7/++is2btyIlJQUGBoaonHjxqWqDf8xOTk5nDlzBtOmTcP69euRlpaGRo0awcvLCzVq1JBo26ZNG5w9exa//PILfvrpJ6iqqqJHjx5Yvnx5gdX0X4qUlBSoqKhAS0uryDaBgYFYvHgxxo8fL7EB7MyZM/Hnn39i5MiRePjwYbFjfA67du3C5cuXxa99fX3h6+sLIO9znp9YL4q3tzd++eUX7Nu3D+/evUO9evVw+vRptGzZUqKdnZ0dLl++jBkzZmDhwoUQCoVo27YtVqxYARMTE3E7ExMTyMnJYcWKFUhOToalpSUWLlwIT09PiU16gbz3snr16lizZo34ho2pqSnat29fJn8vmJqa4vLly/D09MTMmTOhqKiIzp07Y9WqVYXWVz9w4AAUFBTQt2/fT56biIiIviwCEXcxISIiIqJvQHZ2NoyNjdG1a9cCK2Op8pg3bx7mz5+P2NhYCASCTy798aH3798jLS0NHh4eOHXqFFJSUsTnDAwM4OrqihUrVpTZfFR5tW7dGllZWfjzzz+hqKgoUa/+UyUkJCA7OxsNGjQQ3/QgIiKikhNKb0JERERE9OX7448/EBsbC1dX14oOhb4Aenp6UldWl9TPP/8MPT09HD58WOL4w4cPkZaWhhkzZpTpfFS5+fn5QU9Pr8w3PW3dujX09PQQGRlZpuMSERFVNlyxTkRERERftZs3byI4OBi//vordHV1ERgYWNEhUQUKDQ1FaGgoAEBeXl5c+7ssPH36FBEREeUyNtGH7ty5g3fv3gHIu0kkbTPakrh58yaSk5PLZWwiIqLKhIl1IiIiIvqqDR06FPv370f9+vXh5eWFOnXqVHRIRERERET0jWNinYiIiIiIiIiIiIioBFhjnYiIiIiIiIiIiIioBJhYJyIiIiIiIiIiIiIqAfmKDoCISi83NxevX7+Guro6BAJBRYdDRERERERERET0VRGJREhOToaxsTGEQtnXoTOxTvQVe/36NUxNTSs6DCIiIiIiIiIioq9aZGQkqlWrJnN7JtaJvmLq6uoA8v7ga2hoVHA0REREREREREREX5ekpCSYmpqK82yyYmKd6CuWX/5FQ0ODiXUiIiIiIiIiIqJSKmmZZW5eSkRERERERERERERUAkysExERERERERERERGVABPrREREREREREREREQlwMQ6EREREREREREREVEJMLFORERERERERERERFQCTKwTEREREREREREREZUAE+tERERERERERERERCXAxDoRERERERERERERUQkwsU5EREREREREREREVALyFR0AERERERERERERlU5mdi6iEtPxOjENakryqGOiWdEhEVUKTKwTERERERERERF9gXJyRYhNzsDrxDS8SUjHm8Q0vE5Ix+uEtLzvE9MRl5IBkej/fUY4W+KnTrUgFAoqLnCiSoCJdSIiIiIiIiIios9MJBIhITULrxLS8CaxkKR5Qjqik9KRnSuSOpaSvBCGmsp48TYVO6+FISopHav62UNJXu4zXAlR5cTEOhERERERERERURlLycjGm4S8VeX5/81Pmr9JyCvdkp6VK3UcOaEAhhrKMNJUhpGWCow187431lKBsZYKjDSVoVNFEQKBAH/cfYVpx4JwOvgNYpMzsN21ITRVFD7D1RJVPkysExERERERERERlUBGdg6iEzP+W22et+L8dULaf4nzvO+T0rNlGktXTVGcIDfSVIGxlvJ/r/O+11dXhpyMZV16OJhAT10Jo/fdwc2wePTd6gcvdycYa6l8yuUSUSEEIpFI+vMkRPRFSkpKgqamJhITE6GhoVHR4RARERERERF99fLrmr/6aHX5/5PmeXXNZaGuLA/j/xLk/19trvLfanNlGGgoQ1mh7Mu1PHqdBHevAEQnZcBQQxlewxqhpiHzBkSFKW1+jYl1oq8YE+tEREREREREshOJRHiXmiW5ujw/ef7f65LUNc9PkBtp/pc0/2/luYmWCoy0VKCmVHHFIl4lpMFtdwCexaRAXUke21wd0cxat8LiIfpSMbFOVAkxsU5ERERERET0f/l1zcUbgkrUNs/bILSkdc2NtVRgpKUMY00Vidrm2qoKEAhkK9FSURJTszDS+zYCwuOhICfAyr726F7fpKLDIvqilDa/xhrrRERERERERET0xcvIzkHUf6VY8jcBFW8M+l+5lmSZ65or/bfS/L9EuWZe8txIUwUmWirQU1eSua75l0xTVQHew53gefQeztyPwsTD9xCdlI6RLay++JsCRF86JtaJiIiIiIiIiOiL8zohDTuvhuFWeDzeJKYhLiVTpn4ayvL/3wxUKy9R/uHGoIaaylCSL/u65l8qZQU5bBzYAL9qPMKe6+FYfOYxXiek45cudt/EzQOiisLEOhERERERERERfTEi3qZiy+VnOHbnJbJyJCsYK8kL/6tf/v+65sb/1TPPr3FekXXNv1RCoQBzu9aGiZYKFv71L7z8whGdlI41/euXy+apRJUB/6Yh+s+mTZuwYsUKREVFwd7eHhs2bICTk1OhbXfs2AFvb288ePAAAODo6IjFixdLtD9x4gS2bt2KO3fuID4+Hnfv3kX9+vUlxklPT8eUKVNw+PBhZGRkoEOHDti8eTMMDAzK7TqJiIiIiIiIvkTPY1Ow2fc5/rj3Cjn/bR7axEoHQ5qYw6Jqla+mrvmXbEQLK+hrKGPq0SD8/SAKcSk3scO1IbRUFSs6NKKvjrCiAyD6Ehw5cgSenp6YO3cuAgMDYW9vjw4dOiAmJqbQ9pcuXcLAgQPh6+sLf39/mJqaon379nj16pW4zfv37+Hs7Ixly5YVOe/kyZNx6tQp/Pbbb7h8+TJev36NXr16lfn1EREREREREX2pnkQlw+PQXbisvozjgS+RkytCy+p6+G1MUxwe1RRd6hmjjokmdKooMqleBrrZG2PvMCeoK8vjVvg79Nnqj5fvUis6LKKvjkAkEomkNyP6tjVu3BiNGjXCxo0bAQC5ubkwNTWFh4cHZs6cKbV/Tk4OtLW1sXHjRri6ukqcCw8Ph6WlZYEV64mJidDT08PBgwfRp08fAMDjx49Rq1Yt+Pv7o0mTJgXmycjIQEZGhvh1UlISTE1NS7xrMREREREREVFFe/AqERv+CcG5h9HiYy61DDC+rQ3qm2pVXGCVxJOoZLjtDkBUUjr01ZWwx70RahtrVnRYRJ9dUlISNDU1S5xf44p1qvQyMzNx584duLi4iI8JhUK4uLjA399fpjFSU1ORlZUFHR0dmee9c+cOsrKyJOatWbMmzMzMipx3yZIl0NTUFH+ZmprKPB8RERERERHRl+DOi3dw3xOALhuu4dzDaAgEQKe6hvhrgjN2ujVkUv0zqWGojt9/bIYaBuqISc5A/203cDUktqLDIvpqMLFOlV5cXBxycnIK1DU3MDBAVFSUTGPMmDEDxsbGEklyaaKioqCoqAgtLS2Z5501axYSExPFX5GRkTLPR0RERERERFRRRCIR/J+/xeCdN9B7ix98n8RCKAB61DfG+UktsXmwI1dLVwAjTRUcHdMUTax0kJKRDfc9t3Ai8GVFh0X0VeDmpUSfaOnSpTh8+DAuXboEZWXlcp1LSUkJSkpK5ToHERERERERUVkRiUS4GhKHDf+E4Fb4OwCAvFCAXg1MMK61DSx0q1RwhKSpooC9w5ww9bdgnAp6Dc+jQXiTmI5xra1Z056oGEysU6Wnq6sLOTk5REdHSxyPjo6GoaFhsX1XrlyJpUuX4uLFi6hXr16J5jU0NERmZiYSEhIkVq3LMi8RERERERHRl0wkEsHn3xhs8H2GoMgEAICinBD9GlXD6JbWMNVRrdgASYKSvBzW9a8PI01lbL8SihXnnuBNYhrmd6sDOSGT60SFYSkYqvQUFRXh6OgIHx8f8bHc3Fz4+PigadOmRfZbvnw5fv31V5w9exYNGzYs8byOjo5QUFCQmPfJkyeIiIgodl4iIiIiIiKiL1Vurghn7r9Bp/XXMML7NoIiE6CsIMSw5pa4Mr0NFvaoy6T6F0ooFOCnTrUwt6sdBAJg/40IjN1/B+lZORUdGtEXiSvWiQB4enrCzc0NDRs2hJOTE9auXYv379/D3d0dAODq6goTExMsWbIEALBs2TLMmTMHBw8ehIWFhbgmupqaGtTU1AAA8fHxiIiIwOvXrwHkJc2BvJXqhoaG0NTUxPDhw+Hp6QkdHR1oaGjAw8MDTZs2RZMmTT73W0BERERERERUatk5uTgd/AYbfZ/hWUwKAKCKohyGNDXHCGcr6KmzrOnXwr25JQw1lDHxyD2cfxSNQTtuYKdbI+hUUazo0Ii+KEysEwHo378/YmNjMWfOHERFRaF+/fo4e/aseEPTiIgICIX/f8Bjy5YtyMzMRJ8+fSTGmTt3LubNmwcAOHnypDgxDwADBgwo0GbNmjUQCoXo3bs3MjIy0KFDB2zevLkcr5SIiIiIiIio7GTl5OL3wFfYfOkZwt+mAgDUleXh3swC7s0toc1k7Ffp+7pGqKqmhJHetxEYkYA+W/zg5e4Es6p82oAon0AkEokqOggiKp2kpCRoamoiMTERGhoaFR0OERERERERVRIZ2Tn47fZLbLn0HK8S0gAA2qoKGO5sCddmFtBQVqjgCKksPItJhtvuW3iVkAZdNUXsGeqEutU0KzosojJV2vwaE+tEXzEm1omIiIiIiOhzSsvMwaGACGy78hzRSRkAAF01JYxqaYnBjc1RRYnFEb410UnpGLrnFv59kwRVRTlsHtwArWvoV3RYRGWGiXWiSoiJdSIiIiIiIvocUjKysf/GC+y8Goq4lEwAgKGGMsa0ssIAJzMoK8hVcIRUnpLTszB2fyCuPYuDnFCApb3qom9D04oOi6hMlDa/xtuIRERERERERERUqMS0LOz1C8fu62FISM0CAFTTVsG41jbo7WgCJXkm1CsDdWUF7B7aCDOOB+P3u68w7Vgw3iSmw6OtDQQCQUWHR1QhmFgnIiIiIiIiIiIJ8e8zsftaGPb6hSM5IxsAYKVbBePa2KB7fWMoyAkrOEL63BTlhVjdzx6GmsrYcuk5Vl94ijeJafi1ex3I8/NAlRAT60REREREREREBACISU7Hzqth2H/jBVIzcwAA1Q3UML6tLTrXNYKckKuTKzOBQIAZHWvCWFMZc04+xKGASMQkZWDDIAeoKjLNSJULa6wTfcVYY52IiIiIiIjKwpvENGy7HIpDARHIyM4FANQ21oBHWxu0tzOEkAl1+si5h1GYcOguMrJzYW+qhV1uDaGrplTRYRGVGDcvJaqEmFgnIiIiIiKiTxEZn4otl5/j2O2XyMzJS6jXN9XChHY2aFNDn/WzqVh3XsRj+N7bSEjNgnlVVex1d4KFbpWKDouoRJhYJ6qEmFgnIiIiIiKi0giLe49Nvs/w+91XyMnNSw05WepgQltbNLepyoQ6yex5bArcdgfg5bs0VK2iiF1DG6G+qVZFh0UkMybWiSohJtaJiIiIiIioJJ5GJ2PjP89wOvg1/suno4WtLsa3sUFjq6oVGxx9tWKS0zHM6xYevEqCioIcNg5yQLtaBhUdFpFMmFgnqoSYWCciIiIiIiJZPHiViI3/PMPZh1HiY+1q6mN8Wxs4mGlXYGT0rUjJyMa4A4G48jQWQgGwqGddDHQyq+iwiKQqbX6N2/USEREREREREX2j7ka8w8Z/nsHncYz42Pd1DPFjGxvUMdGswMjoW6OmJI9dbg0x68R9HLvzErNO3MebxHRMdrFlaSH6JjGxTkRERERERET0jbkZ+hYbfZ/hakgcAEAoALraG+PHNjaobqBewdHRt0pBTogVferBWFMZ6/95hvU+IXiTkIbFvepCQU5Y0eERlSkm1omIiIiIiIiIvgEikQjXn73F+n9CEBAWDwCQFwrQ08EEY1tbw0pPrYIjpMpAIBDAs30NGGqqYPYf9/HbnZeISc7A5sENUEWJqUj6dvDTTERERERERET0FROJRPB9EoP1Ps9wLzIBAKAoJ0SfhtUwtpU1THVUKzZAqpQGNTaDvroSxh8KxOWnsRiw/QZ2D20EPXWlig6NqExw81Kirxg3LyUiIiIiIqq8cnNFOP8oChv+eYaHr5MAAEryQgx0MsPoVlYw0lSp4AiJgHuRCRjmdQvx7zNhqqOCve5OfHqCviilza8xsU70FWNinYiIiIiIqPLJyRXhdPBrbPJ9hqfRKQAAVUU5/NDEHCNaWHFFMH1xwuPew21PAF68TYW2qgJ2ujWCo7l2RYdFBICJdaJKiYl1IiIiIiKiyiMrJxd/3H2FzZeeIyzuPQBAXUkeQ5tbwL25JXSqKFZwhERFi0vJwHCvWwh6mQgleSE2DHRA+9qGFR0WERPrRJURE+tERERERETfvozsHBy78xJbLj3Hy3dpAAAtVQUMb24J12YW0FRRqOAIiWSTmpmNHw8EwvdJLIQCYH73OvihiXlFh0WVXKVJrOfm5uLy5cu4evUqXrx4gdTUVOjp6cHBwQEuLi4wNTWt6BCJPhsm1omIiIiIiL5d6Vk5OBwQgW1XQvEmMR0AoKumiBEtrDCkiTnUlOQrOEKiksvOycXsPx7g8K1IAMC41taY1qEGBAJBBUdGldU3n1hPS0vDqlWrsGXLFsTHx6N+/fowNjaGiooK4uPj8eDBA7x+/Rrt27fHnDlz0KRJk4oOmajcMbFORERERET07XmfkY0DN19g+5UwxKVkAAAMNZQxupUVBjQyg4qiXAVHSPRpRCIR1vs8w5qLTwEAvRqYYGmvelCUF1ZwZFQZlTa/9tXc2qxevTqaNm2KHTt24LvvvoOCQsHHnF68eIGDBw9iwIAB+PnnnzFy5MgKiJSIiIiIiIiIqOSS0rPg7ReOXdfC8C41CwBgoqWCcW2s0cexGpTkmVCnb4NAIMBEF1sYaSpj1u/3cSLwFWKTM7B5cAOoK7O0EX0dvpoV6//++y9q1aolU9usrCxERETA2tq6nKMiqlhcsU5ERERERPT1S0jNxO5rYdjjF47k9GwAgEVVVYxrY4OeDiZQkOMqXvp2+T6JwY8HApGamQM7Iw3scW8EAw3lig6LKpFvvhTMl+T9+/dYunQpfHx8EBMTg9zcXInzoaGhFRQZVTZMrBMREREREX294lIysONqKPb7v8D7zBwAgK2+Gsa3tUHnukaQZ0KdKonglwkY5nULcSmZMNFSwd5hjWCjr17RYVEl8c2XgvnQ2bNnoaamBmdnZwDApk2bsGPHDtjZ2WHTpk3Q1tYu1/lHjBiBy5cv44cffoCRkRE3VyAiIiIiIiIimUUnpWPb5VAcDHiB9Ky8xXp2RhrwaGuDDrUNIRQyz0CVS71qWjgxtjnc9gQgLO49em/xx063hmhkoVPRoREV6atcsV63bl0sW7YMnTp1wv3799GoUSN4enrC19cXNWvWxJ49e8p1fi0tLfz1119o3rx5uc5DJA1XrBMREREREX1d/gp+g+nHgsQr1O1NtTChrQ3a1tTnwj2q9OLfZ2L43lu4G5EARXkh1vWvj+/rGlV0WPSNq1Qr1sPCwmBnZwcAOH78OLp06YLFixcjMDAQnTp1Kvf5tbW1oaPDO2ZEREREREREJJvsnFwsO/sYO66GAQDqm2rB87vqaGGry4Q60X90qiji4Igm8Dh0Fxf/jca4g4GY28UOQ5tbVnRoRAV8lcW6FBUVkZqaCgC4ePEi2rdvDwDQ0dFBUlJSuc//66+/Ys6cOeIYiIiIiIiIiIiKEpOcjsE7b4qT6qNbWeHYmKZoWV2PSXWij6goymHrkAYY3NgMIhEw79QjLDnzL3Jzv7qiG/SN+ypXrDs7O8PT0xPNmzdHQEAAjhw5AgB4+vQpqlWrVu7zr1q1Cs+fP4eBgQEsLCygoKAgcT4wMLDcYyAiIiIiIiKiL9+dF/EYdyAQ0UkZUFOSx4o+9VjagkgKeTkhFvaoA2MtFaw49wTbroTiTWI6VvStByV5uYoOjwjAV5pY37hxI8aNG4djx45hy5YtMDExAQD8/fff6NixY7nP36NHj3Kfg4iIiIiIiIi+XiKRCN7+L/Dr6UfIzhXBRl8NW4c4wkZfraJDI/oqCAQC/NjGBoYayphxPBgng14jNjkD21wdoaGsIH0AonL2VW5eSkR5uHkpERERERHRlyc1Mxs/nbiPP+69BgB0rmeE5b3roYrSV7m+kajCXXkai7H77+B9Zg5qGqpjj3sjGGmqVHRY9I0obX5N5hrrAQEByMnJEb8+ffo0WrVqBRMTEzRs2BDe3t4li/gTBAYG4v79++LXf/75J3r06IGffvoJmZmZny2OO3fuYP/+/di/fz/u3r372eZt1aoVvL29kZaW9tnmJCIiIiIiIiLpwuLeo+cmP/xx7zXkhALM7lwLGwc6MKlO9AlaVtfDkdFNoaeuhMdRyei12Q9Po5MrOiyq5GROrDdt2hRv374FAJw6dQrdu3eHhYUFfv75Zzg4OGD48OH4/fffyy3QD40ePRpPnz4FAISGhmLAgAFQVVXFb7/9hunTp5f7/DExMWjbti0aNWqECRMmYMKECXB0dES7du0QGxtb7vM7ODhg6tSpMDQ0xMiRI3Hjxo1yn5OIiIiIiIiIinfhUTS6bbiGJ9HJ0FVTwsERjTGihRU3KCUqA3VMNHFibDNY61XBm8R09N7ihxuhbys6LKrEZE6sf1gxZvny5Zg+fTr27t2LcePGYceOHZg/fz6WL19eLkF+7OnTp6hfvz4A4LfffkPLli1x8OBBeHl54fjx4+U+v4eHB5KTk/Hw4UPEx8cjPj4eDx48QFJSEiZMmFDu869duxavX7/Gnj17EBMTg5YtW8LOzg4rV65EdHR0uc9PRERERERERP+XkyvCynNPMNL7NpIzstHQXBt/TXBGY6uqFR0a0TfFVEcVx8c2Q0NzbSSnZ8N1VwBOB7+u6LCokpI5sf6hp0+fok+fPhLHevfujcePH5dJUNKIRCLk5uYCAC5evIhOnToBAExNTREXF1fu8589exabN29GrVq1xMfs7OywadMm/P333+U+PwDIy8ujV69e+PPPP/Hy5UsMGjQIv/zyC0xNTdGjRw/8888/nyUOIiIiIiIiosos/n0mhu4JwEbfZwCAoc0scHBkExhoKFdwZETfJi1VRewf0RgdaxsiMycX4w/exc6roRUdFlVCJUqsP3r0CMHBwVBRUREntj+UnZ1dZoEVp2HDhli4cCH27duHy5cvo3PnzgCAsLAwGBgYlPv8ubm5UFAouPuwgoJCoe9LeQoICMDcuXOxatUq6OvrY9asWdDV1UWXLl0wderUzxoLERERERERUWUSFJmArhuu4WpIHFQU5LBuQH3M61YbivKlWsdIRDJSVpDDpsENMLSZBQBg4V//YsGpR8jNFRXfkagMlehv+nbt2qF+/fqIiIjA9evXJc7dvXsXZmZmZRpcUdauXYvAwECMHz8eP//8M2xsbAAAx44dQ7Nmzcp9/rZt22LixIl4/fr/j5q8evUKkydPRrt27cp9/piYGKxatQp16tRBixYtEBsbi0OHDiE8PBzz58/Hzp07cf78eWzdurXcYyEiIiIiIiKqjA4HRKDvVn+8SkiDpW4V/PFjc3Svb1LRYRFVGnJCAeZ2tcOs72sCAHZfD4PH4btIz8qp4MioshCIPiyeXowXL15IvFZTU0PVqv+vFebt7Q0AcHV1LcPwSiY9PR1ycnKFriYvS5GRkejWrRsePnwIU1NT8bE6derg5MmTqFatWrnOr6ioCGtrawwbNgxDhw6Fnp5egTZJSUno3r07fH19yzUWqlhJSUnQ1NREYmIiNDQ0KjocIiIiIiKib156Vg7m/PkAR2+/BAB8Z2eAVf3soaFcvrkIIiran/deYepvQcjKEcHJUgc7fmgITVX+mSTZlDa/JnNi/UuTkJCAY8eO4fnz55g2bRp0dHQQGBgIAwMDmJiU/x1ikUiEixcviuvK16pVCy4uLjL1ff/+PapUqVLqua9evYoWLVqUuj99O5hYJyIiIiIi+nwi41Mx9sAdPHiVBKEAmNK+Bsa2soZQKKjo0IgqPb9ncRi97w6SM7Jhq6+GvcOcYKylUtFh0VegQhLrnTt3xs6dO2FkZFTaIUolODgY7dq1g5aWFsLDw/HkyRNYWVlh9uzZiIiIEK+e/1KpqamhX79+GDZsGJydnSs6HPqKMbFORERERET0eVx+GouJh+8iITULOlUUsX6AA5xtdSs6LCL6wL9vkjB0TwCikzJgoKEEL3cn1DJivoSKVyGJdXV1dQQFBcHKyqq0Q5SKi4sLGjRogOXLl0vE4Ofnh0GDBiE8PLzM51y/fj1GjRoFZWVlrF+/vti2EyZMKPb8H3/8AS8vL5w5cwYWFhYYNmwYXF1dYWxsXGQfBwcHCASy3QEPDAyUqR19/ZhYJyIiIiIiKl+5uSJs9H2GNRefQiQC7KtpYvMQR5hwJSzRF+lVQhqG7g5ASEwK1JXkse0HRzSz4U0wKtoXnVgPDg6Wecx69epJbaOpqYnAwEBYW1tLxPDixQvUqFED6enpMs8nK0tLS9y+fRtVq1aFpaVlke0EAgFCQ0NlGjM2Nhb79u2Dl5cX/v33X3To0AHDhg1Dt27dIC8vL9F2/vz5Msc6d+5cmdvS142JdSIiIiIiovKTmJqFyUfv4Z/HMQCAgU5mmNvVDsoKchUcGREVJzE1C6P23cbNsHgoyAmwsq89NxemIlVIYr1OnTr4+++/xRt4FkUoFEIgEKCoqfLPCQQC5ORI37lXX18f586dg4ODg0Ri/cKFCxg2bBgiIyNLdT0VacOGDZg2bRoyMzOhq6uLMWPGYObMmVBVVa3o0CqNTZs2YcWKFYiKioK9vT02bNgAJyenQtvu2LED3t7eePDgAQDA0dERixcvlmgvEokwd+5c7NixAwkJCWjevDm2bNkCW1tbcRsLC4sCGwMvWbIEM2fOlClmJtaJiIiIiIjKx6PXSRiz/w4i4lOhKC/Ewh510K9h8fkPIvpyZGTnwPNoEP4KfgMAmPl9TYxuaSVzRQiqPEqbXxN+yqQPHjyQmlQHgLCwMISGhiIsLKzQr/xzsq707tatGxYsWICsrCwAeYn5iIgIzJgxA7179/6US5LJggULkJqaWuB4WloaFixYIPM40dHRWL58Oezs7DBz5kz06dMHPj4+WLVqFU6cOIEePXoU2TchIQE7d+7ErFmzEB8fDyCvBMyrV69KfD0EHDlyBJ6enpg7dy4CAwNhb2+PDh06ICYmptD2ly5dwsCBA+Hr6wt/f3+Ympqiffv2Eu//8uXLsX79emzduhU3b95ElSpV0KFDhwJPVCxYsABv3rwRf3l4eJTrtRIREREREVHxTgS+RM/N1xERn4pq2io4MbYZk+pEXxkleTlsGOCA4c55lSeW/v0Y804+RE5uqdcYE0ko8Yr1gIAA+Pv7IyoqCgBgaGiIpk2bFrmytzwkJiaiT58+uH37NpKTk2FsbIyoqCg0bdoUZ86cQZUqVcp1fjk5Obx58wb6+voSx9++fQt9fX2pq+5PnDiBPXv24Ny5c7Czs8OIESMwZMgQaGlpids8f/4ctWrVQmZmZoH+wcHBcHFxgaam5le5eWtxXFxcEBoaKvNNlrLSuHFjNGrUCBs3bgQA5ObmwtTUFB4eHjKtHs/JyYG2tjY2btwIV1dXiEQiGBsbY8qUKZg6dSqAvM+tgYEBvLy8MGDAAAB5K9YnTZqESZMmyRRnRkYGMjIyxK+TkpJgamrKFetERERERERlIDM7F7+efoR9N/KeLG5VXQ/rBtSHlqpiBUdGRJ9i59VQLPzrXwBAh9oGWDfAgSWdSKy0K9blpTfJExMTg969e+P69eswMzODgYEBgLxV15MnT0bz5s1x/PjxAslmADh58iS+//57KCgo4OTJk8XO061bN6mxaGpq4sKFC7h27RqCg4ORkpKCBg0awMXFRdbLKdKVK1dgb28PTU3NItvkl635WFBQEHR0dKTO4e7ujoEDB+L69eto1KhRoW2MjY3x888/F3rO09MTQ4cOFW/emq9Tp04YNGiQ1Pm/ZD179kRcXNxnnTMzMxN37tzBrFmzxMeEQiFcXFzg7+8v0xipqanIysoS//zDwsIQFRUl8ZnU1NRE48aN4e/vL06sA8DSpUvx66+/wszMDIMGDcLkyZML1NjPt2TJkhLV2yciIiIiIiLZvElMw7gDgbgbkQAAmNjOFhPa2UJOyLIRRF+7ES2sYKipDM8jQTj3MBpDdt7EDteG0K7Cm2ZUejKvWO/Tpw9ev36NPXv2oEaNGhLnnjx5gmHDhsHY2Bi//fZbgb5CoRBRUVHQ19eHUFh09RlZa6yXJ6FQCG1tbfz000+YMmWKxDltbW0IBALx3YsPk+s5OTlISUnBmDFjsGnTpiLHz87Oxvbt29G7d2/xzYmSqojNWwtz+fJlrFy5Ev/+m3fHz87ODtOmTUOLFi0+y/xl5fXr1zAxMYGfnx+aNm0qPj59+nRcvnwZN2/elDrGuHHjcO7cOTx8+BDKysrw8/ND8+bN8fr1axgZGYnb9evXDwKBAEeOHAEArF69Gg0aNICOjg78/Pwwa9YsuLu7Y/Xq1YXOwxXrREREREREZc/veRw8Dt7F2/eZ0FCWx9oB9dG2Zul+ZyeiL9eN0LcY5X0bSenZsNKrgr3uTjDV4f6GlV25r1g/d+4crly5UiCpDgA1atTA+vXr0bp160L75ubmFvp9Saxfv17mthMmTCjVHMD/68H//fffBc6tXbsWIpEIw4YNw/z58yVWtSsqKsLCwkIiMVsYeXl5TJ06FZ07dy51jEpKSkhKSipw/OnTp9DT0yv1uCWxf/9+uLu7o1evXuL3+/r162jXrh28vLxkWjkvEonw9u1bCAQCVK1atbxDLjdLly7F4cOHcenSJSgrK5eor6enp/j7evXqQVFREaNHj8aSJUugpKRUoL2SklKhx4mIiIiIiKjkRCIRtl8JxbKzj5ErAmoZaWDbEEeYVWWijehb1MSqKo6NbQa33QEIjX2P3lv8sHeYE2oZcbEilZzMifWikrn5kpOTyzXht2bNGpnaCQSCT0qsm5ubw9zcHG3atClwzs3NDQBgaWmJZs2aQUFBoVRzODk54e7duzA3Ny9V//zNW48ePQrg82/eCgCLFi3C8uXLMXnyZPGxCRMmYPXq1fj111+LTaxHRUVh+vTpOHnyJJKTkwEAGhoa6NmzJ5YsWVLqlfylpaurCzk5OURHR0scj46OhqGhYbF9V65ciaVLl+LixYuoV6+e+Hh+v+joaIkV69HR0ahfv36R4zVu3BjZ2dkIDw8v9CYWERERERERlY3k9CxM+y0YZx/m7SHXq4EJFvWoCxVF1l0m+pZVN1DH7+Oaw213AJ5EJ6PfVn9sd22IptZf76JPqhgyJ9b79+8PNzc3rFmzBu3atRMvi09KSoKPjw88PT0xcOBAmcYqTQmRsLAwWUMtd61atRJ/n56eXmCDUWmPDIwbNw5TpkzBy5cv4ejoWGCz1Q8TtIVZtWoV+vTpA319faSlpaFVq1bizVsXLVpUwqspndDQUHTt2rXA8W7duuGnn34qsl9SUhKaNWuGlJQUuLu7o2bNmhCJRHj06BEOHTqEa9euITAwEGpqauUZvgRFRUU4OjrCx8cHPXr0AJD3ZIWPjw/Gjx9fZL/ly5dj0aJFOHfuHBo2bChxztLSEoaGhvDx8REn0pOSknDz5k2MHTu2yDHv3bsHoVBY6F4FREREREREVDZCopMxev8dhMa+h4KcAHO71sbgxmaF7qdGRN8eQ01lHB3dFCO9byMgPB5uuwOwdkB9dKprJL0z0X9kTqyvXr0aubm5GDBgALKzs6GomFfcPzMzE/Ly8hg+fDhWrlwpdZyyKCFSXoKCgtCgQQOpdd5TU1Mxffp0HD16FG/fvi1wXlr//I0rP1xZLxAIxJuiSuufv3nr9evXERQUVKabtwqFQrRu3RorVqyAo6Njke1MTU3h4+MDGxsbieMXL16Eqalpkf3WrVsHOTk5PHz4sEDZmtmzZ6N58+ZYv359scn58uDp6Qk3Nzc0bNgQTk5OWLt2Ld6/fw93d3cAgKurK0xMTLBkyRIAwLJlyzBnzhwcPHgQFhYWiIrKW+GgpqYGNTU1CAQCTJo0CQsXLoStrS0sLS3xyy+/wNjYWJy89/f3x82bN9GmTRuoq6vD398fkydPxpAhQ6Ctrf1Zr5+IiIiIiKiyOB38GtOPBSM1MwdGmsrYPLgBHMz4OxhRZaOpqgDv4U6YdPgezj6Mwo8HAzGva224NbOo6NDoKyHz5qX5kpKScOfOHXEi0dDQEI6OjjIXdq9VqxZGjRolUUIEyEvc79ixQ7yKvTg5OTnw8vKCj48PYmJiCtRt/+eff2S8GklBQUFwcHCQWgf+xx9/hK+vL3799Vf88MMP2LRpE169eoVt27Zh6dKlGDx4cLH9X7x4Uex5aSVivL290b9//wKldzIzM3H48GG4uroW2784Xl5eCA8Px9mzZ3Hjxo0i223ZsgWTJk3CsGHD0KxZMwB5N0i8vLywbt06jB49utB+TZo0wejRo8UJ64/t3r0bO3bsgL+/f6mvobQ2btyIFStWICoqCvXr18f69evRuHFjAEDr1q1hYWEBLy8vAICFhUWhP8e5c+di3rx5APJq9c2dOxfbt29HQkICnJ2dsXnzZlSvXh0AEBgYiHHjxuHx48fIyMiApaUlfvjhB3h6espcVqm0mysQERERERFVNlk5uVj292PsvJb3RHxTq6rYMMgBumrcx4qoMsvJFWHuyQfYfyMCAPBjG2tMbV+DT7BUIqXNr5U4sf6plJSU8PDhwwIrnZ89e4Y6deogPT1d6hjjx4+Hl5cXOnfuDCMjowIf9KLqsffq1avYcRMTE3Hp0iWpK8bNzMzg7e2N1q1bQ0NDA4GBgbCxscG+fftw6NAhnDlzRuo1fAo5OTm8efOmQLmQt2/fQl9fX2r8ZeX333/HqlWrxDdDatWqhWnTpqF79+5F9tHR0YG/v3+R9cMfP36MZs2aIT4+vlxi/tYwsU5ERERERCRdTHI6xh+8i4CwvN81x7SyxtT21SEvJ6zgyIjoSyASibDJ9xlWnn8KAOjrWA2Le9WFAv+OqBRKm1+TqRTM4cOHxeVLpImMjERERASaN29e6PnSlhD5OJ6jR4+iU6dOMrXPd+rUKXz33XdFbo4pa0I6Pj4eVlZWAPLqqecngZ2dnYusn33y5EmZ4+zWrVux5/NLxnzs5cuX0NTUlHmefElJSfjnn39Qo0YN1KpVS+Z+PXv2RM+ePUs8l5aWVpHntbS0it0kl4iIiIiIiKgkbofHY9yBQMQkZ0BNSR4r+9ZDxzqso0xE/ycQCDC+rS301JUw68R9/HbnJeJSMrBpcAOoKspcSZsqGZk+GVu2bMH8+fPh7u6Orl27Fki+JiYm4vr169i/fz8uXLiAXbt2FTnWlClTMGHCBNy7d6/QEiKyUFRULJCYl0WtWrXQu3dvDB8+vNDz9+7dw+nTp6WOY2VlhbCwMJiZmaFmzZo4evQonJyccOrUqSKTxvl1tfPl11T/8HW+ohL8Dg4OEAgEEAgEaNeuHeTl5SX6hIWFoWPHjlLj79evH1q2bInx48cjLS0NDRs2RHh4OEQiEQ4fPozevXtLHSMyMhICgQDVqlUDAAQEBODgwYOws7PDqFGjiuwnEokgFBZ9t+/j94WIiIiIiIioNEQiEfb6hWPhX/8iO1cEW301bP3BEdZ6ahUdGhF9ofo3MkPVKkoYfygQvk9iMWjHTewe2gg6VRQrOjT6Asn0PMPly5exbNkyXLhwAXXq1IGGhgZsbW1Rt25dVKtWDVWrVsWwYcNgZmaGBw8eFLvieuzYsTh8+DDu37+PSZMmYdKkSXjw4AGOHDlSZF3uj02ZMgXr1q0rcQLW0dERgYGBRZ5XUlKCmZmZ1HHc3d0RFBQEAJg5cyY2bdoEZWVlTJ48GdOmTSu0T25urvjr/PnzqF+/Pv7++28kJCQgISEBZ86cQYMGDXD27Nki5+3Rowe6d+8OkUiEDh06oHv37uKvAQMGYNu2bdi/f7/U+K9cuYIWLVoAyCvnIhKJkJCQgPXr12PhwoVS+wPAoEGD4OvrCwCIioqCi4sLAgIC8PPPP2PBggVF9hOJRKhevTp0dHQK/apZs6ZM8xMREREREREVJTUzG5OO3MO8U4+QnStCl3pG+OPH5kyqE5FULnYGODCiCbRUFXAvMgF9tvghMj61osOiL1CJa6zHxcXh2rVrePHiBdLS0qCrqwsHBwc4ODgUuxK5LPXs2RO+vr7Q0dFB7dq1oaCgIHH+xIkThfbLyMhATk4OVFVVyzSeFy9e4M6dO7CxsUG9evWktq9Tpw62bt0KZ2dnieNXr17FqFGjpG7gunfvXvTv3x/KysqlildFRQVPnz6FqakpXF1dYWxsjKVLlyIiIgJ2dnZISUmROoa2tjZu3LiBGjVqYP369Thy5AiuX7+O8+fPY8yYMQgNDS0ydlm4ubmV6JoqK9ZYJyIiIiIikhQW9x5j9t3Bk+hkyAkF+KlTLQxrbsGNCImoRJ7FJMNt9y28SkiDnroS9ro7wc6YuZdvUbnWWP+Qrq5ugbImpZWeno4jR44gNTUVLi4usLW1lamflpZWiWt7A3kr0j9VVlYWOnbsiK1bt4rjNTc3h7m5ucxjPH/+vNCSMZqamggPD5fa383NDQkJCdi/fz+eP3+OadOmQUdHB4GBgTAwMICJiUmx/U1NTeHv7w8dHR2cPXsWhw8fBgC8e/dO5mR9VlaW+P28ePGi+CmFmjVr4s2bN8XGTkRERERERFQezj+MwpSjQUjOyIaeuhI2DWoAJ0udig6LiL5CNvrqOD62Gdx2B+BJdDL6b/PHNldHNLPWrejQ6AtR4hXrpeXp6YmsrCxs2LABAJCZmQknJyc8evQIqqqqyM7OxoULF9C0adPPEc4n0dPTg5+fn8w3Aj7WsmVLKCsrY9++feKNVKOjo+Hq6or09HRcvny52P7BwcFwcXERJ+KfPHkCKysrzJ49GxEREfD29i62/+bNmzFx4kSoqanB3NwcgYGBEAqF2LBhA06cOCEu8VKcxo0bo02bNujcuTPat2+PGzduwN7eHjdu3ECfPn3w8uVLmd+P/Bss79+/x3fffVfq97Uy4op1IiIiIiIiICdXhNUXnmCT73MAQCMLbWwa1AD6GqV70puIKF9iWhZGet9GQFg8FOWEWNO/PjrX4wbI35LS5tc+T+0WAOfPn8d3330nfn3gwAFEREQgJCQE7969Q9++fWWu750vNjYW165dw7Vr1xAbG1vWIRdpyJAhxW7QKs3u3bvx5s0bmJmZwcbGBjY2NjAzM8OrV69kGnfy5MkYOnQoQkJCJFaYd+rUCVeuXJHaf9y4cfD398fu3btx7do1cQkfKysrmX8Gy5Ytw7Zt29C6dWsMHDgQ9vb2AICTJ0/CycmpyH6enp7w8PAQv87MzETTpk0xcuRI/PTTT3BwcIC/v79MMRARERERERHFv8+E2+4AcVLdvbkFDo5swqQ6EZUJTRUFeA9zwvd1DJGZk4vxhwLhdT2sosOiL8BnW7GuoaGBwMBA2NjYAAAGDhwIdXV1bN++HQBw7949dOrUCa9fv5Y61vv37+Hh4QFvb2/k5uYCAOTk5ODq6ooNGzaUeQ31j+XPbWtrC0dHR1SpUkXi/OrVq6WOIRKJcOHCBTx+/BgAUKtWLbi4uMhU801TUxOBgYGwtraGuro6goKCYGVlhRcvXqBGjRpIT08v3YWVUE5ODpKSkqCtrS0+Fh4eDlVVVejr6xfap06dOli8eLG4dMyePXswZcoU3L17F2ZmZhg2bBhiYmLw119/fZZr+NpxxToREREREVVmQZEJGLv/Dl4npkNFQQ5Le9dF9/rFl0clIiqNnFwR5p18iH03XgAAxrW2xrQONbh/wzfgs9VYLy2hUIgPc/g3btzAL7/8In6tpaWFd+/eyTSWp6cnLl++jFOnTqF58+YAgGvXrmHChAmYMmUKtmzZUrbBf+TBgwdo0KABAODp06cS52T9wyQQCNC+fXu0b9++xPMrKSkhKSmpwPGnT59CT09Pav+cnBx4eXnBx8cHMTEx4psT+f755x+Z4pCTk5NIqgOAhYVFsX3yN0jNd/78efTp00dco37ixIno1KmTTPMTERERERFR5SQSiXD4ViTm/vkQmTm5sNStgq1DHFHDUL2iQyOib5ScUIAF3WvDQEMJK88/xeZLzxGTnIElvepCQe6zFQWhL8gnJ9ZzcnJw//59mJubF0iyfqhWrVo4deoUPD098fDhQ0RERKBNmzbi8y9evBDXG5fm+PHjOHbsGFq3bi0+1qlTJ6ioqKBfv37lnliXpQZ5eerWrRsWLFiAo0ePAshL0kdERGDGjBno3bu31P4TJ06El5cXOnfujDp16sh8M8DBwUHmtoGBgYUeL8sbLERERERERFT5pGflYM6fD3D0dt7eXu3tDLCynz00lBUqODIi+tYJBAKMb2sLfXVlzPr9Po7deYm3KRnYNLgBVBU/2/pl+kKU+Cc+adIk1K1bF8OHD0dOTg5atWoFPz8/qKqq4vTp0xLJ7g9Nnz4dAwYMwF9//YWHDx+iU6dOsLS0FJ8/c+ZMsbW5P5SamlpoEl5fXx+pqamF9unVq5dMYwPAiRMnZG5bEVatWoU+ffpAX18faWlpaNWqFaKiotC0aVMsWrRIav/Dhw/j6NGjJV4Z3qNHj1JG/H9leYOFiIiIiIiIKpfI+FSM2X8HD18nQSgApnaogTEtrSEUshQDEX0+/RqZoqqaIn48GAjfJ7EYuOMm9gxtBJ0qihUdGn1GJU6sHzt2DEOGDAEAnDp1CmFhYXj8+DH27duHn3/+GdevXy+0X8+ePXHmzBmcPn0a7du3l9jAEgBUVVUxbtw4mWJo2rQp5s6dC29vb/HmnWlpaZg/fz6aNm1aaB9NTU3x9yKRCL///js0NTXRsGFDAMCdO3eQkJAgUwK+TZs2xa7clrWUSmlpamriwoULuHbtGoKDg5GSkoIGDRrAxcVFpv6KioriWvclMXfu3BL3+VhZ3mAhIiIiIiKiyuPSkxhMPHwPiWlZ0KmiiA0DHdDcRreiwyKiSqpdLQMcGNEEw/feQlBkAvps8cPeYU4w1SnfvR/py1HizUuVlZXx7NkzVKtWDaNGjYKqqirWrl2LsLAw2NvbF1r7u6w9ePAAHTp0QEZGBuzt7QEAQUFBUFZWxrlz51C7du1i+8+YMQPx8fHYunUr5OTkAOSVtBk3bhw0NDSwYsWKYvtPnjxZ4nVWVhbu3buHBw8ewM3NDevWrfuEqyt/q1atQmhoKDZu3FghGyz4+Pjg9OnTMDQ0hIeHh8Rms/Pnz0erVq2KfPKBJHHzUiIiIiIi+tbl5oqw0fcZ1lx8CpEIsDfVwpbBDWCspVLRoRER4VlMCtx2B+BVQhr01JWw190JdsbM0XxNSptfK3Fi3dzcHDt27EC7du1gaWmJLVu2oHPnznj48CGcnZ0/W33s1NRUHDhwAI8fPwaQV2Jk8ODBUFGR/j9WPT09XLt2DTVq1JA4/uTJEzRr1gxv374tVUzz5s1DSkoKVq5cWWy7Vq1aYfjw4ejbt69M8QLA+vXrZY5jwoQJxZ7v2bMnfH19oaOjg9q1a0NBQbIOnSylcHJycrBmzRocPXoUERERyMzMlDgfHx8vc7xUekysExERERHRtywxNQuTj97DP49jAACDGpthblc7KMnLVXBkRET/F52UDrfdAXgclQx1JXlsc3VEM2s+UfO1KG1+rcSlYNzd3dGvXz8YGRlBIBCIy4/cvHkTNWvWLOlwpaaqqoqRI0eWqm92djYeP35cILH++PFj5ObmljqmIUOGwMnJSWpi3cHBAVOnToWHhwf69euH4cOHo0mTJsX2WbNmjUwxCAQCqYl1LS0t9OzZU6bxijJ//nzs3LkTU6ZMwezZs/Hzzz8jPDwcf/zxB+bMmVNkv/fv32Pq1Kk4efIkMjMz0a5dO2zYsAF6enqfFA8RERERERF9Wx6+TsTY/YGIiE+FkrwQC3vUQd+GphUdFhFRAQYayjgyuilGed/GzbB4DN19C6v726NLPeOKDo3KUYlXrAN5ddYjIyPRt29fVKtWDQCwd+9eaGlpoXv37mUeJACcPHkS33//PRQUFHDy5Mli23br1q3Y856envD29sZPP/0krud98+ZNLF26FD/88ANWr15dqhj37duHGTNm4PXr11LbZmdn4+TJk9i7dy/+/vtv2NjYYNiwYfjhhx++is07ra2tsX79enTu3Bnq6uq4d++e+NiNGzdw8ODBQvt5enpi+/btGDx4MJSVlXHo0CE0b94cv//++2e+gm8DV6wTEREREdG36Pidl/jp9/vIyM6FqY4Ktgx2RB0TTekdiYgqUHpWDiYfuYe/H0RBIADmdrHD0OaW0jtShfpspWAKk5CQAC0trU8dplhCoRBRUVHQ19eHUCgssp1AIEBOTk6xY+Xm5mLlypVYt24d3rx5AwAwMjLCxIkTMWXKFHHd9aJ8vMGpSCTCmzdvcPv2bfzyyy8l3uQzJiYG27dvx6JFi5CTk4NOnTphwoQJaNu2rdS++T++0tRKj42NxZMnTwAANWrUKNGq8SpVquDff/+FmZkZjIyM8Ndff6FBgwYIDQ2Fg4MDEhMTC+1naWmJ5cuXo2/fvgDyNo1t0qQJ0tLSIC9f4gcoKj0m1omIiIiI6FuSkZ2DX08/wv4bEQCA1jX0sLZ/fWipKlZwZEREssnJFWH+qYfw9n8BABjb2hrTO9SokH0OSTafrRTMsmXLYGFhgf79+wMA+vXrh+PHj8PIyAhnzpxBvXr1SjqkTD4s0fIp5VqAvCT99OnTMX36dPFmqyV50zQ0NCT+MAiFQtSoUQMLFixA+/btSxRLQEAA9uzZg8OHD0NfXx9Dhw7Fq1ev0KVLF4wbN67IsjK7du3CmjVrEBISAgCwtbXFpEmTMGLECKlzvn//Hh4eHvD29ha/l3JycnB1dcWGDRskNhMtSrVq1fDmzRuYmZnB2toa58+fR4MGDXDr1i0oKSkV2e/ly5do3ry5+LWjoyMUFBTw+vVrmJmZSZ03ODhYapuP2dnZMWlPRERERET0hXuTmIax+wNxLzIBAgEwsZ0tJrS1hVDIZBQRfT3khALM71YbBhrKWHHuCbZceo6YpAws7V0XCnJFLxamr0+JV6xbWlriwIEDaNasGS5cuIB+/frhyJEj4k0sz58/X6pAfvrpJ0RFRWH37t2l6v85Vs2XlZiYGOzbtw979uxBSEgIunbtihEjRqBDhw7ihP21a9fQsWNHpKSkFOg/Z84crF69Gh4eHmjatCkAwN/fHxs3bsTkyZOxYMGCYucfPXo0Ll68iI0bN4qT3NeuXcOECRPw3XffYcuWLVKvYebMmdDQ0MBPP/2EI0eOYMiQIbCwsEBERAQmT56MpUuXFtpPTk4OUVFREqvjNTQ0EBQUBEtL6Y/GCIVCCAQCyPqxFQqFePr0KaysrGRq/7XhinUiIiIiIvoW+D2Lg8ehu3j7PhMayvJYN8ABbWrqV3RYRESf5OjtSMw6cR85uSK0rqGHzYMbQFWRiz+/NJ+tFIyKigqePn0KU1NTTJw4Eenp6di2bRuePn2Kxo0b4927dyUOHgDc3NwQGRmJf/75R2rbj1fN9+3bV2LVvL29fbH9o6OjMXXqVPj4+CAmJqZAklZaKRkrKyvcunULVatWlTiekJAgLodSHEVFRVhbW2PYsGEYOnRooSVYkpKS0L17d/j6+hY4p6enh/Xr12PgwIESxw8dOgQPDw/ExcUVO7+uri6OHTuG1q1bSxz39fVFv379EBsbW2z/wty4cQN+fn6wtbVF165di2wnFApRp04diRXkwcHBqFmzJhQV//9oX2BgYJH9AwICZCpbIxKJUKdOHQQHBzOxTkRERERE9AUSiUTYdiUUy88+Rq4IsDPSwNYhjjCrKv1JaiKir8E/j6Mx7kAg0rNyYW+qhd1uDVFVrehqD/T5fbZSMNra2oiMjISpqSnOnj2LhQsXAsj7n6G0hHRx9u7dK3PbrVu34sCBAwCACxcu4OLFizh79iyOHj2KadOmSV01P3ToUEREROCXX36BkZFRiWschYeHF3qtGRkZePXqldT+Pj4+aNGiRbFtNDQ0Ck2qA0BWVhYaNmxY4LijoyOys7Olzp+amlroBqn6+vpITU2V2r8wTZo0QZMmTaS2K6z+fEk2vG3VqhVsbGxkfjqhZcuWUFFRkXl8IiIiKh+JaVnwf/4W157Fwu/5W6gqymG4syW61jOGPB+JJSKqlJLTszDtt2CcfRgFAOjdoBoW9awDZYXi9z0jIvqatK1pgIMjm2CY1y0ERSagz1Z/eA9zgqkObyB+7Uq8Yn38+PE4ffo0bG1tcffuXYSHh0NNTQ2HDx/G8uXLi1xpXJY+ddW8uro6rl69ivr165do3pMnTwIAevTogb1790JT8/87kufk5MDHxwcXLlwQbwhaXjw8PKCgoIDVq1dLHJ86dSrS0tKwadOmYvu3a9cOVatWhbe3N5SVlQEAaWlpcHNzQ3x8PC5evFhusVPZ4op1IiL6UmVm5+JeZAKuhcTi6rM4BEUmILeQf3Wa6ahibGtr9GpgAiV5JlKIiCqLp9HJGLPvDkLj3kNBToB53WpjkJMZN/cjom/Ws5gUuO0OwKuENOipK8HLvRFqG2tK70jl7rOtWF+zZg0sLCwQGRmJ5cuXQ01NDQDw5s0bjBs3Tmr/sLAwXL16FS9evEBqair09PTg4OCApk2bipO80nzqqnlTU1OZa3R/qEePHgAAgUAANzc3iXMKCgqwsLDAqlWrCu3r4OAg8z8QZLk5sWvXLpw/f168SvzmzZuIiIiAq6srPD09xe0+Tr4DwLp169ChQwdUq1ZNXDYnKCgIysrKOHfunEwxfolycnJw//59mJubQ1tbu6LDISIiqlREIhGexaTgakgcrj2Lw83Qt3ifKfnvMivdKnC21UVzG108i0nBrmthiIhPxawT97HuYghGt7LCgEZmUFFkgp2I6Ft2Kug1ZhwPRmpmDow0lbF5cAM4mPF3OCL6ttnoq+HEuGZw2x2Ax1HJ6L/tBrb/4IhmNroVHRqVUolXrJfWgQMHsG7dOty+fRsGBgYwNjaGiooK4uPj8fz5cygrK2Pw4MGYMWMGzM3Nix3rU1fNnz9/HqtWrcK2bdtgYWFR4muxtLTErVu3oKsr+wd//vz5MrctrFzKh9q0aSPTOAKBoMia9ampqThw4AAeP34MAKhVqxYGDx78VZVNmTRpEurWrYvhw4cjJycHrVq1gp+fH1RVVXH69OkCNeS/RVyxTkREFSk2OQPXn8X9l0yPRXRShsR5nSqKaG6jixY2umhuqwsTLcl/Z6RmZuNQQCS2X3ku7lu1iiJGtLDCkCZmUFdW+GzXQkRE5S8rJxdL/36MXdfCAADNrKtiw0AH1homokolMS0Lo7xv42ZYPBTkBFjdrz662htXdFiV2mfbvBQA9u3bh23btiE0NBT+/v4wNzfH2rVrYWlpWWi9bAcHBygqKsLNzQ1du3aFqampxPmMjAz4+/vj8OHDOH78ODZv3oy+ffsWOX9WVhbWrVuHyMhIDB06FA4ODgDyVtOrq6tjxIgRxcavra2N1NRUZGdnQ1VVFQoKkr+0xcfHy/pWUAWqVq0a/vjjDzRs2BB//PEHfvzxR/j6+mLfvn34559/cP369YoOsdwxsU5ERJ9TWmYOboa9xbX/VqU/jkqWOK8oL4SThQ6cbXXhbKMLOyMNCIXSn9jLyM7BsTsvseXSc7x8lwYA0FCWh3tzS7g3t4CWqqKUEYiI6EsXk5yO8QfuIiA87/ftsa2tMeW76txng4gqpfSsHHgevYcz96MgEABzutjBvbllRYdVaX22xPqWLVswZ84cTJo0CYsWLcKDBw9gZWUFLy8v7N27t9ANN8+dO4cOHTrINP7bt28RHh4OR0fHkoRVItI2Sv24zEth3r9/j8uXLyMiIgKZmZkS5yZMmCC1f0JCAo4dO4bnz59j2rRp0NHRQWBgIAwMDGBiYiK1f0mdPHkS33//PRQUFMS14ovSrVs3mcb83NfwMWVlZTx79gzVqlXDqFGjoKqqirVr1yIsLAz29vZISkoq9xgqGhPrRERUnnJyRXjwKhHXnsXhWkgc7rx4h8ycXIk2tY014GyrixY2emhoof1JG85l5eTi5L3X2HTpGUJj3wMAqijKYUhTc4xwtoKeOlc0EhF9jW6Hx2PcgUDEJGdATUkeK/vao2Mdw4oOi4ioQuXkijD/1EN4+78AAIxpZY0ZHWtwr4kK8NkS63Z2dli8eDF69OgBdXV1BAUFwcrKCg8ePEDr1q0RFxdX4uBLIyQkBL6+voiJiUFuruQveHPmzCnXue/evYtOnTohNTUV79+/h46ODuLi4qCqqgp9fX2EhoYW2z84OBguLi7Q1NREeHg4njx5AisrK8yePRsRERHw9vYutn96ejo2bNhQ5PUXVgpHKBQiKioK+vr6EAqLXhEgEAhkqlP/qdfw8fXIWl//Q+bm5tixYwfatWsHS0tLbNmyBZ07d8bDhw/h7OwsdRPbbwET60REVNYi41PFpV38nr9FQmqWxHkTLRU4/1fapbl11XJ5fD8nV4SzD6Kw0fcZ/n2Td6NcSV6IgU5mGNXSCsZaX0/pOiKiykwkEsHLLxyL/voX2bkiVDdQw9YhjrDSU6vo0IiIvggikQibLz3HinNPAAC9GphgWe96UODTPJ/VZ9u8NCwsTFx65UNKSkp4//691P6BgYFQUFBA3bp1AQB//vkn9uzZAzs7O8ybNw+KitIf9d2xYwfGjh0LXV1dGBoaStzJEQgEJUqsp6enF1hxLu0NnDx5Mrp27YqtW7dCU1MTN27cgIKCAoYMGYKJEydKndPT0xNDhw7F8uXLoa6uLj7eqVMnDBo0SGr/4cOH4/z58+jTpw+cnJxkupP1YfL940R8aXzqNeTm5mLRokXYunUroqOj8fTpU1hZWeGXX36BhYUFhg8fLnUMd3d39OvXD0ZGRhAIBHBxcQGQt5FrzZo1S39xRERElUhiahb8nueVdrn2LA4v3qZKnFdXkkcT66po8V95F0vdKuW+ikZOKEDnekboVNcQ/zyOwYZ/nuFeZAK8/MJx4OYL9G5QDWNbW8O8apVyjYOIiEovNTMbM4/fx8mg1wCArvbGWNqrLqoolTgNQUT0zRIIBPixjQ301JUw68R9nAh8hbcpmdg8uAH/vvwKlPgnZGlpiXv37hXYYPTs2bOoVauW1P6jR4/GzJkzUbduXYSGhmLAgAHo2bMnfvvtN6SmpmLt2rVSx1i4cCEWLVqEGTNmlDR8AHllXGbMmIGjR4/i7du3Bc5LW7F97949bNu2DUKhEHJycsjIyICVlRWWL18ONzc39OrVq9j+t27dwrZt2wocNzExQVRUlNT4T58+jTNnzqB58+ZS2xbG29sb/fv3h5KS5AqzzMxMHD58GK6urlLH+NRrWLhwIfbu3Yvly5dj5MiR4uN16tTB2rVrZUqsz5s3D3Xq1EFkZCT69u0rvh45OTnMnDlTan8iIqLKKDM7F4ER73AtJA5Xn8Xh/ssE5H7w/KK8UAAHMy042+jB2VYX9tU0K6z+rUAgQLtaBmhbUx9+z99iwz8huBEaj8O3InH0diS62RtjXBsbVDdQlz4YERF9NqGxKRi7PxBPopMhLxTgp0614N7cguUNiIiK0K+hKXTVFDHuQCAuP43FoB03sHtoI27u/IUrcWLd09MTP/74I9LT0yESiRAQEIBDhw5hyZIl2Llzp9T+T58+Rf369QEAv/32G1q2bImDBw/i+vXrGDBggEyJ9Xfv3hW7uak006dPh6+vL7Zs2YIffvgBmzZtwqtXr7Bt2zYsXbpUan8FBQVxORV9fX1ERESgVq1a0NTURGRkpNT+SkpKhdb/fvr0KfT09KT2NzExkVglXlLu7u7o2LEj9PX1JY4nJyfD3d1dpsT6p16Dt7c3tm/fjnbt2mHMmDHi4/b29nj8+LEMV5GnT58+Eq8TEhJkqpFPRERUWYhEIjyNTsHVkFhcfxaHm2HxSM2UXERgrVcFLWz14GyjiybWVaH2ha2OEQgEaG6ji+Y2urgdHo+Nvs9w6Uks/rj3Gn/ce42OtQ0xvq0N6phoVnSoRESV3vmHUZhyNAjJGdnQU1fCpkEN4GSpU9FhERF98drWNMChkU0wzOsWgl4mos9Wf3gPc4KpjmpFh0ZFKPFvTSNGjICKigpmz56N1NRUDBo0CMbGxli3bh0GDBggtb9IJBKXIrl48SK6dOkCADA1NZW5Pnvfvn1x/vx5iYRsSZw6dQre3t5o3bo13N3d0aJFC9jY2MDc3BwHDhzA4MGDi+3v4OCAW7duwdbWFq1atcKcOXMQFxeHffv2oU6dOlLn79atGxYsWICjR48CyPtlMSIiAjNmzEDv3r2l9l+1ahVmzJiBrVu3FnhyQBYikajQlQIvX76EpqZsv5B+6jW8evUKNjY2BY7n5uYiKyurkB4FLVu2DBYWFujfvz8AoF+/fjh+/DiMjIxw5swZ1KtXT6ZxiIiIvjUxSeniDUevPYtDTHKGxHldNUU0t8kr7eJsqwsjza+nZnlDCx14uTvhwatEbPznGc4+jBJ/ta6hh/FtbNDQggkcIqLPLSdXhFXnn2DzpecAgEYW2tg0qAH0NUq+nxYRUWXlYKaNY2ObwXVXAMLi3qPXFj/sGdqIC0i+UCXevPRDqampSElJKbDyuTht27aFqakpXFxcMHz4cDx69Ag2Nja4fPky3NzcEB4eLnWMJUuWYPXq1ejcuTPq1q0LBQUFifMTJkwotr+amhoePXoEMzMzVKtWDSdOnICTkxPCwsJQt25dpKSkFNv/9u3bSE5ORps2bRATEwNXV1f4+fnB1tYWu3fvhr29fbH9ExMT0adPH/E4xsbGiIqKQtOmTXHmzBlUqVJ8vdDY2Fj069cPV65cgaqqaoHrj4+PL7Sfg4MDBAIBgoKCULt2bcjL//++Sk5ODsLCwtCxY0dxsrw8r8HR0RGTJ0/GkCFDJDbBXbBgAS5cuICrV69KjcHS0hIHDhxAs2bNcOHCBfTr1w9HjhzB0aNHERERgfPnz0sd42vHzUuJiAjIq2N7MzRenEx/Ep0scV5ZQQgny6pwtqkKZxs91DRUh1D4bTyO/zQ6GZt9n+Fk0GtxSZsmVjoY38YWzW2qsuwAEdFnkJyehUmH78HncQwAYFhzS8zqVJOb7xERlVJ0UjrcdgfgcVQy1JTksf0HRzSz0a3osL5Zn23z0g+pqqpCVbVkjyOsWbMGQ4YMwR9//IGff/5ZvGr52LFjaNasmUxjbN++HWpqarh8+TIuX74scU4gEEhNrFtZWSEsLAxmZmaoWbMmjh49CicnJ5w6dQpaWlpS52/YsKH4e319fZw9e1amuPNpamriwoULuH79OoKCgpCSkoIGDRqIN9+UZuDAgXj16hUWL14MAwMDmX9h7NGjB4C8GvEdOnSAmtr/d2JXVFSEhYWFTKvNP7yGa9euITg4uMTXMGfOHLi5ueHVq1fIzc3FiRMn8OTJE3h7e+P06dMyjREVFQVTU1MAeXXn+/Xrh/bt28PCwgKNGzeWaQwiIqKvUU6uCPdfJeJaSCyuhsQhMOIdsnL+v1ZCIADqGGvC2VYXLWx00cBcG8oKchUYcfmpbqCOtQMcMMmlOrZefo7jgS9xIzQeN0Jvor6pFsa3sUG7WvpMsBMRlZPI+FQM33sLT6NToCQvxPI+9dC9vklFh0VE9FUz0FDG0TFNMcr7Nm6ExsNtTwBW96uPrvbGFR0afaDEK9ajo6MxdepU+Pj4ICYmBh93l7bxZ1HS09MhLy8vsYq6vKxZswZycnKYMGECLl68iK5du0IkEiErKwurV6/GxIkTi+2flpYGkUgkvqnw4sUL/P7777Czs0P79u2lzv+pm4eqqqrC399f6sr4ouzduxf9+/eHsnLZPJKXnp4OJSWlEv/CevXqVSxYsEDi5sKcOXNkeg8BwNjYWHxDpkaNGli4cCH69u2LJ0+eoFGjRoXWgP/WcMU6EVHl8eLte1wNicP1Z3Hwe/4WiWmSpdOqaaugha0unG300My6KrSrKFZQpBXrdUIatl8JxaGACGRk55UfrGmojvFtbfB9HSPIfSMr9YmIvgQBYfEYs/8O4t9nQl9dCTtcG8LeVKuiwyIi+mZkZOfA80gQ/rr/BgAwp4sdhjlbVnBU357S5tdKnFj//vvvERERgfHjx8PIyKhAMrV79+7F9reyssKtW7dQtWpVieMJCQlo0KABQkNDZY4lMzMTYWFhsLa2/qSE/IsXL3Dnzh3Y2NjIVJe7ffv26NWrF8aMGYOEhATUqFEDioqKiIuLw+rVqzF27Nhi+8vJyeHNmzcFSui8ffsW+vr6Um9ONGjQAJs3b0aTJk2kX1w5yc3NxaJFi7B161ZER0fj6dOnsLKywi+//AILCwsMHz683GMYP348Tp8+DVtbW9y9exfh4eFQU1PD4cOHsXz5cgQGBpZ7DBWNiXUiom9XQmom/J6/xdWQOFx7FovI+DSJ8+rK8mhmXRXOtnpoYaML86qqXJX9gdjkDOy6FoZ9/uF4/99mrVZ6VTCutQ261zdmeQIiok909FYkfv7jPrJyRKhrookdrg1hqMl66kREZS0nV4QFpx5ir/8LAMDoVlaY2bEm/+1fhj5bYl1dXR1Xr15F/fr1SxojAEAoFCIqKqpAUjk6OhqmpqbIzMyUOkZqaio8PDywd+9eABAndT08PGBiYoKZM2eWKjZZ6erq4vLly6hduzZ27tyJDRs24O7duzh+/DjmzJmDf//9t9j+QqEQ0dHR0NPTkzgeFBSENm3aFFkjPd/58+cxf/58LFq0qNAa84V9AHR0dPD06VPo6upCW1u72D980uYHgAULFmDv3r1YsGABRo4ciQcPHsDKygpHjhzB2rVr4e/vL3UMIO/mSExMjHhD23xmZmZS+2ZlZWHdunWIjIzE0KFD4eDgACDviQR1dXWMGDFCphi+ZkysExF9OzKyc3DnxTtc/69OevCrRHz4rzR5oQANzLXRwkYXzW11Uc9EE/JMDkuVkJqJPdfD4eUXLl7lX01bBWNaWaOPY7VvtkQOEVF5yckVYenf/2LH1TAAQOe6RljZ1x4qivz7lIiovIhEImy+9Bwrzj0BAPRqYIJlvetxsUgZ+Ww11k1NTQuUf5HFyZMnxd+fO3cOmpr/3802JycHPj4+sLSU7VGGWbNmISgoCJcuXULHjh3Fx11cXDBv3rxyT6ynpqZCXV0dQF6Su1evXhAKhWjSpAlevHhRZL/8zUMFAgHatWtX5Oah0uS3adeuncRxkUgEgUBQ6Ir3/GRz/vefelfL29sb27dvR7t27TBmzBjxcXt7ezx+/Fhq/5CQEAwbNgx+fn4yX8PHFBQUMHXq1ALHJ0+eLMMVEBERVSyRSIQn0cm4FhKHqyFxCAiLR1qW5P//bPXV8uqk2+qisWVVVFEq/5J53xotVUVM/q46Rra0wv4bL7DzaihevkvD7D8eYL1PCEa1tMKgxmZQVeR7S0QkTXJ6FiYevod//tukdGI7W0xsZ/vNbIhNRPSlEggE+LGNDfTVlTDzxH2cCHyFuJRMbBncgL8jVKASv/Nr167FzJkzsW3bNlhYWMjcL3/jTIFAADc3N4lzCgoKsLCwwKpVq2Qa648//sCRI0fQpEkTiQRx7dq18fz5c5ljKi0bGxv88ccf6NmzJ86dOydO5MbExBR7V6OsNg/19fUtccwfvudDhw4tcf+PvXr1Srzx7Idyc3ORlZVVSA9JQ4cOhby8PE6fPl1oSSFZ7du3D9u2bUNoaCj8/f1hbm6OtWvXwtLSUmpZIiIios8tOik9r7RLSCyuPXuLuJQMifN66kpwttHN+7LVhYEGH6kvK2pK8hjTyhpuTS1w5FYEtl0JxZvEdCz8619svvQcw50t8UNTc2goK0gfjIioEop4m4oR3v/fpHRVP3t0qcdN9IiIPqe+DU2hq6aEcQcCceVpLAbtuIHdQxuhqpqS9M5U5kqcWO/fvz9SU1NhbW0NVVXVAmVIiiojkl/qw9LSErdu3YKurm4pws0TGxtboJQMALx///6z1BeaM2cOBg0ahMmTJ6Ndu3Zo2rQpgLzV6/nlSAozd+5cAICFhcUnbR7aqlWrEvcpyUaesjzyYGdnh6tXr8Lc3Fzi+LFjx4p9D/Ldu3cPd+7cQc2aNWWO62NbtmzBnDlzMGnSJCxatEi8yl1LSwtr165lYp2IiCrc+4xs3Az7r056SBxCYlIkzqsoyMHJUidv01FbXdQwUGetxHKmoiiHoc0tMaixOU4EvsTmS88REZ+KFeeeYOvl5xjazALuzS2hU0k3fyUiKszN0LcYs/8O3qVmcZNSIqIK1qamPg6ObIxhXrcQ9DIRvbf4wXtYY5hVVa3o0CqdEtdY9/LyKvYXvo9Xo5eHli1bom/fvvDw8IC6ujqCg4NhaWkJDw8PhISE4OzZs+UeQ1RUFN68eQN7e3sIhXn1jAICAqChoSFTsjghIQHHjh3D8+fPMW3aNOjo6CAwMBAGBgYwMTGRqf+uXbvE9dxr166NYcOGSZTY+ZBQKJT5F3VZyrD8+eefcHNzw6xZs7BgwQLMnz8fT548gbe3N06fPo3vvvuu2P6NGjXCmjVr4OzsLFNMhbGzs8PixYvRo0cPqKurIygoCFZWVnjw4AFat26NuLi4Uo/9tWCNdSKiL0t2Ti6CXyXiWkgcrj2Lw92Id8jK+f8/tQQCoJ6JJpxtdeFso4cG5lpQkmdN2oqUnZOL08FvsNH3GZ79d+NDVVEOgxubYWQLK+jzqQEiquSO3IrA7D8ecJNSIqIvzPPYFLjtDsDLd2nQVVOCl3sj1DEpPC9Ixftsm5eWxvr16zFq1CgoKytj/fr1xbadMGGC1PGuXbuG77//HkOGDIGXlxdGjx6NR48ewc/PD5cvX4ajo2Ox/aOionDz5k1ERUUBAAwNDdG4cWMYGhrKflGfIDg4GC4uLtDU1ER4eDiePHkCKysrzJ49GxEREfD29i62/+3bt9GhQweoqKjAyckJAHDr1i2kpaXh/PnzaNCgQYE+ly9fFn8fHh6OmTNnYujQoeLV9v7+/ti7dy+WLFki882Rq1evYsGCBQgKCkJKSgoaNGiAOXPmoH379oW2/3DV/O3btzF79mwsXrxY5g1YP6aiooLHjx/D3NxcIrEeEhKCevXqIS0tTabryLdp0yasWLECUVFRsLe3x4YNG8Tv78d27NgBb29vPHjwAADg6OiIxYsXS7QXiUSYO3cuduzYgYSEBDRv3hxbtmyBra2tuE18fDw8PDxw6tQpCIVC9O7dG+vWrZMoE1QcJtaJiL4Mb1MysOivf3Hh32gkp2dLnDPTUf0vka6LZtZVoaXKldBfotxcEc4/isKGf57h4eu8f7MoygvRv6EpRreyQjVtrgAiosolJ1eEJWf+xc5r/21SWs8IK/twk1Iioi9JTFI63Pbcwr9vkqCmJI9tPziiuU3pq4RUVp8tsS4nJ4c3b94UKMXy9u1b6OvrF7ra2dLSErdv30bVqlWL3aBUIBAgNDRUpjieP3+OpUuXSiR1Z8yYgbp16xbZ5/379xg9ejQOHz4MgUAAHR0dAHnJTZFIhIEDB2Lbtm1QVS3fX5zatWsHR0dHLF++XCIh7Ofnh0GDBiE8PLzY/i1atICNjQ127Ngh3gA1OzsbI0aMQGhoKK5cuSJ1/hEjRmDgwIESxw8ePIjt27fj0qVLn3J5Rfp41Xz+RqUfKsnmpXZ2dliyZAm6d+8u8T5u2LABe/bsQWBgoMyxHTlyBK6urti6dSsaN26MtWvX4rfffsOTJ08KLTs0ePBgNG/eHM2aNYOysjKWLVuG33//HQ8fPhQ/cbBs2TIsWbIEe/fuhaWlJX755Rfcv38fjx49EpcB+v777/HmzRts27YNWVlZcHd3R6NGjXDw4EGZ4mZinYio4t0MfYsJh+8iOimvXrqmigKaWVfN23TURo+PZH5lRCIRLj2NxcZ/nuHOi3cAAHmhAD0dTDC2tTWs9GS7+U1E9DVLTs/ChEN34fskFgAwySVvk1KWKyMi+vIkpWdhtPcd+Ie+hYKcAKv61Uc3e+6BURKfLbEuFAoRFRVVINn4+vVrWFtbl3iV8Oc0YsQIXLlyBRs2bICLiwvk5PLutOfk5MDHxwceHh5o2bIlduzYUa5xaGpqIjAwENbW1hIJ4RcvXqBGjRpIT08vtr+Kigru3r1boOTMo0eP0LBhQ6SmphbbX1VVFUFBQRIrpwHg6dOnqF+/vtT+H0tPT8eRI0eQmpoKFxeXAuPm+3DVvDSy1JHfuXMn5s2bh1WrVmH48OHYuXMnnj9/jiVLlmDnzp0YMGCAzPM1btwYjRo1wsaNGwHk7QlgamoKDw8PzJw5U2r/nJwcaGtrY+PGjXB1dYVIJIKxsTGmTJmCqVOnAgASExNhYGAALy8vDBgwAP/++y/s7Oxw69YtNGzYEABw9uxZdOrUCS9fvoSxsfS/BJlYJyKqOLm5Imy5/Byrzj9Brgiw1quCJb3qwdFcG3JCJh6+diKRCDdC47HRNwTXn70FAAgFQOd6xvixjTVqGvL/u0T0bYp4m4rhe28hJCYFygpCrOpbH53rGVV0WEREVIyM7Bx4Hg3CX8FvAAC/dLHDcOeiFzeTpNLm12TevDS/hItAIMDOnTslSlXk5OTgypUrn7QRZWnExMQgJiZGvDFqvnr16hXa/vjx4/jrr7/QrFkzieNycnJo3749du/ejS5dupR7Yl1JSanQzUSfPn0KPT09qf01NDQQERFR4P2OjIyEurq61P6mpqbYsWMHli9fLnF8586dMDU1Lbavp6cnsrKysGHDBgBAZmYmmjRpgkePHkFVVRXTpk3DhQsXxCVmPvRhsjwiIgKmpqaFrliPjIyUeg1A3o0SFRUVzJ49G6mpqRg0aBCMjY2xbt26EiXVMzMzcefOHcyaNUt8TCgUwsXFBf7+/jKNkZqaiqysLPFTEGFhYYiKioKLi4u4jaamJho3bgx/f38MGDAA/v7+0NLSEifVAcDFxQVCoRA3b95Ez549C8yTkZGBjIwM8euSbEpLRERl521KBiYfDcKVp3kr+Xo5mODXHnVQRanE+8LTF0ogEKCpdVU0ta6KwIh32PTPM/g8jsGpoNc4FfQa39kZYHwbG27eR0TflBuhbzH2v01KDTTyNimtV02rosMiIiIplOTlsGGAA/TUlODlF45fTz9CTHI6ZnSoCSEX/ZQbmX/7W7NmDYC8xOfWrVvFq70BQFFRERYWFti6davUcXJycuDl5QUfH59Ck+L//POP1DHu3LkDNzc3/Pvvv/h4wX1xZURyc3OhqFh0XVNFRcUC8ZSHbt26YcGCBTh69CiAvJgjIiIwY8YM9O7dW2r//v37Y/jw4Vi5cqX4JsH169cxbdq0AuVdCrNmzRr07t0bf//9Nxo3bgwgb+PVkJAQHD9+vNi+58+fx+LFi8WvDxw4gIiICISEhMDMzAzDhg3DwoUL8ddffxU7jqWlZaElheLj42FpaSlTKRggryTL4MGDkZqaipSUlELLtkgTFxeHnJwcGBgYSBw3MDDA48ePZRpjxowZMDY2FifS8+v3FzZm/rnCnvyQl5eHjo6OuM3HlixZgvnz58sUExERlY+AsHh4HApEdFIGlBWEWNC9Dvo6VuPj8d+wBmba2DW0ER69TsKmS89w5v4bXHgUjQuPotHCVhfj29igsVXVig6TiOiTHLkVgZ9/f4DsXBHqVcvbpNSAGzgTEX01hEIB5na1g76GEpaffYJtl0MRm5SBZX3qQUFOWNHhfZNkTqyHheVtWNKmTRucOHEC2trapZpw4sSJ8PLyQufOnVGnTp1S/RI6bNgwVK9eHbt27YKBgYHMY3Tp0gWjRo3Crl274ODgIHHu7t27GDt2LLp27SrTWPv27cPWrVsRFhYGf39/mJubY+3atbC0tET37t2L7btq1Sr06dMH+vr6SEtLQ6tWrRAVFYWmTZti0aJFUudeuXIlBAIBXF1dkZ2dt0GagoICxo4di6VLl0rt36lTJ4SEhGDz5s3ixHHXrl0xZswYqSvWIyIiYGdnJ359/vx59OnTB+bm5gDyfr6dOnWSGkNh9dUBICUlRVx/vCRUVVXLvTZ+UZYuXYrDhw/j0qVLpYq9JGbNmgVPT0/x66SkJKk/MyIiKhuFlX7ZPNgRNQylPy1G3wY7Yw1sGtQAz2JSsPnSM/x57zWuhsThakgcnCx08GNbG7S01eVNFiL6quTkirD4zL/YxU1KiYi+egKBAONa20BPTQkzT9zHibuvEPc+E1sGN+DTteWgxO+or68vgLzyGWFhYbC2thZvoCmLw4cP4+jRozIlX4sSGhqK48ePw8bGpkT9Nm7ciEGDBsHR0RHa2tri1cIxMTFISEhAhw4dxDW2i7NlyxbMmTMHkyZNwqJFi8Srq7W0tLB27VqpiXVNTU1cuHAB165dQ3BwsHjz1Q/LhhRHUVER69atw5IlS/D8+XMAgLW1dYkSy9WqVZNYeS4roVAo8ZTAjRs38Msvv4hfa2lp4d27d0X2z08KCwQC/PLLLxIx5+Tk4ObNm6hfv36R/R0cHGT+ZVXWzUt1dXUhJyeH6OhoiePR0dEwNDQstu/KlSuxdOlSXLx4UaIEUX6/6OhoGBn9vx5hdHS0+PoMDQ0RExMjMV52djbi4+OLnFdJSQlKSkoyXRcREZUdln6hD9noq2F1v/qY7FIdWy4/x7HbLxEQHo+A3QGoV00TP7axwXe1DPjYLRF98ZL+26T00n+blE52qY4J7Wx4g5CI6CvXt6EpdNWVMG5/IK48jcXAHTewe2gj6Koxp1SWSvzbYFpaGsaPH4+9e/cCyKsLbmVlBQ8PD5iYmEjd6FFRUbHECfGPtWvXDkFBQSUeR1tbG3///TceP34Mf39/cbkNQ0NDNG3aVOYa8Rs2bMCOHTvQo0cPiRXiDRs2FG9UKQtnZ2c4OzuX6BqAvE0wc3JyoKOjg7p164qPx8fHQ15eXqYi+wkJCQgICCi0HI+rq2uR/WrVqoVTp07B09MTDx8+REREBNq0aSM+/+LFiwLlTz509+5dAHkr1u/fvy9RmkdRURH29vbFvoc9evSQdmklpqioCEdHR/j4+IjHz83NhY+PD8aPH19kv+XLl2PRokU4d+6cRJ10IK/UjaGhIXx8fMSJ9KSkJNy8eRNjx44FADRt2hQJCQm4c+cOHB0dAeSVQsrNzRWX6CEioorH0i9UFFMdVSzuWRcT2tpix9VQHLj5AsEvEzF63x3UMFDHuDbW6FLPmJvZEtEX6cXb9xi+9zaecZNSIqJvUpsa+jg4sjGGed1C8MtE9NniB+9hjWFWtWIqPnyLBKKPi5RLMXHiRFy/fh1r165Fx44dERwcDCsrK/z555+YN2+eOHFalFWrViE0NBQbN24s9S+kcXFxcHNzg5OTE+rUqQMFBQWJ8926dSvVuLJSUVHB48ePYW5uDnV1dQQFBcHKygohISGoV68e0tLSCvTJ3/xVFhMmTCj2/Pfff4+uXbti3LhxEse3bt2KkydP4syZM8X2P3XqFAYPHoyUlBRoaGhI/BwEAgHi4+OL7Pv7779jwIABcHZ2xsOHD9GoUSOcOnVKfH7GjBkICwsT148viru7O9atW1einXbL05EjR+Dm5oZt27bByckJa9euxdGjR/H48WMYGBjA1dUVJiYmWLJkCQBg2bJlmDNnDg4ePIjmzZuLx1FTUxNv7Lts2TIsXboUe/fuhaWlJX755RcEBwfj0aNH4pIx33//PaKjo7F161ZkZWXB3d0dDRs2xMGDB2WKu7S7FhMRkXT5pV9WX3iKnFwRS7+QVG9TMrD7ehi8/V4gOSOvXJ+lbhWMbWWNHg4mUJRnbUsi+jLcCH2LMfvvIOG/TUp3ujZC3WqaFR0WERGVg9DYFLjuDsDLd2nQVVOCl3sj1DHh3/kfKm1+rcSJdXNzcxw5cgRNmjSRSCo/e/YMDRo0QFJSUrH9e/bsCV9fX+jo6KB27doFkuInTpyQGsOpU6fwww8/FDpXcZuXlhU7OzssWbIE3bt3l3gPNmzYgD179hRagsTS0lKmsQUCAUJDQ4tto6Ojg+vXr6NWrVoSxx8/fozmzZvj7du3xfavXr06OnXqhMWLF5eqLrmPjw9Onz4NQ0NDeHh4SIwxf/58tGrVCq1bty7xuKWVmZlZ6Mp7MzOzEo2zceNGrFixAlFRUahfvz7Wr18vXjneunVrWFhYwMvLCwBgYWGBFy9eFBhj7ty5mDdvHoC8Vflz587F9u3bkZCQAGdnZ2zevBnVq1cXt4+Pj8f48eNx6tQpCIVC9O7dG+vXrxcn56VhYp2IqHyw9At9isS0LHj7hWPX9TAkpGYBAEy0VDC6lRX6NTSFsgLrFhNRxTkcEIHZf+RtUmpfTRPbuUkpEdE3LyYpHW57buHfN0mooiiHbT80hLOtbkWH9cX4bIl1VVVVPHjwAFZWVhJJ5aCgILRs2RKJiYnF9nd3dy/2/J49e6TGYGFhgS5duuCXX34ptuxIedm5cyfmzZuHVatWYfjw4di5cyeeP3+OJUuWYOfOnRgwYEC5zl+lShXcuHFDogwMANy/fx+NGzdGamqq1P7379+HlZVVeYZZ7p4+fYrhw4fDz89P4nj+xqjlfYPlS8DEOhFR2WPpFyor7zOycfBmBLZfDUVscgYAQE9dCSNbWGJwY3PeqCGizyo7JxeLzzzG7ut5m5R2tTfGij71eLOPiKiSSErPwph9d+D3/C0U5ARY2dce3eubVHRYX4TPllhv2bIl+vbtCw8PD6irqyM4OBiWlpbw8PBASEgIzp49W+LgS0pdXR337t2DtbV1uc9VlAMHDmDevHnizUONjY0xf/58DB8+vETj5L/9JfllvU2bNqhTpw42bNggcfzHH39EcHAwrl69Wmz/Xr16YcCAAejXr1+JYv3SNG/eHPLy8pg5cyaMjIwKvIf29vYVFNnnw8Q6EVHZYekXKi/pWTn47XYktl4OxauEvJKBWqoKGNbcEm7NLKCpoiBlBCKiT5OUngWPg3dx+b8nsTy/qw6PttyklIiossnIzoHn0SD8FfwGADC7cy2MaPF1L7wtC58tsX7t2jV8//33GDJkCLy8vDB69Gg8evQIfn5+uHz5sngTxvLk5uaGFi1aYMSIEeU+lzSpqalISUmBvr5+ifrt2rULa9asQUhICADA1tYWkyZNkumarl+/DhcXFzRq1Ajt2rUDkFee5datWzh//jxatGghde4FCxbA3d0ddevW/ew16stKlSpVcOfOHZk3nf0WMbFORFQ23qZkwPNokDjh0NPBBAtZ+oXKWGZ2Lv649wpbLj1HWNx7AIC6kjx+aGqO4c6WqKqmVMEREtG36ONNSlf3q49OdblJKRFRZZWbK8KC04/g5RcO4H/s3Xtcj/f7wPHXp6OkUioqHeUUEiVzLIcNM2bMeU5hY8Ywhn3HMBszc5w5znFzPswOho0KsSEdkNCBComSdNLp8/uj+fyk9PkUSlzPx2OPh973/X7f112Nuu73fV3wQVsnpnSuh5bWq/uwtcwS6wCRkZHMmzePkJAQUlNTadq0KVOmTClUmqQojo6OxT4VV1dfHOCrr75i8eLFdO3atcjEsLrmnw+Vtjb3nDlzGDhwoMZ10x83Y8YMFi5cyNixY2nRogUAJ0+e5Pvvv2fChAnMnj1b7RrBwcF8++23BAcHY2BggKurK9OmTaN27dpq52ppPblxVkUqodKsWTMWLVpE69atyzuUciOJdSGEeHqFSr90b0hvDyn9Ip6f3Dwlf5y7yfIjEVy6dR+ASrpaDPC05/22TtQwkVrHQohn42RkIqN/zm9SWsO4EmsGe0iTUiGEECiVSlb6R/HNgXAgf2PR/Hdd0dV+cs7wZVamifWnsWTJkgIfZ2dnExQUxIEDB5g8eTJTp05Vu0ZxCW1Nmn9euXIFHx+fUtfmbty4MefPn6d58+a899579OnTB3NzzQv+W1hYsHTpUvr3719gfOvWrYwdO5Y7d+5ovFZFduXKFXx9fYt8uDFjxgy1848cOcLnn3/O119/XeQDllch0SyJdSGEKD0p/SLKW16ekr8v3uJ73whC4/L7FOlpa/GuR01Ge9XC1qzkTeaFEOKhradimP5Ik9I1gz2wlCalQgghHrErMI4pu0PJzVPSto4FKwY2fSXf2i2zxPrgwYNp164dXl5ez7T55fLlyzlz5oxGzUuf1rOozX3hwgV+/vlntm3bRlxcHK+//joDBw6kR48eVK5c/C9BVatW5fTp04V2l1++fBlPT0+Sk5NLfE8VzZo1axg9ejTm5ubUqFGjwNdAoVBw9uxZtWs83Hn/+NdPmpcKIYRQR0q/iBeJUqnk2JU7fH8kglNXkwDQ1lLwtps1H3o742xZpZwjFEJUJDm5eXy1/yLrA64C0qRUCCFE8XwvJfDhT2fJyM7FtaYJ64Y2w/wVK1FYZon1ESNGcPToUSIiIrCxscHLywtvb2+8vLw0KkPyJFFRUbi5uZGSklLqNTT1rGtzBwQEsGXLFnbu3ElmZqbaexg7diy6urosXLiwwPikSZPIyMhg+fLlzySu4vj7+7NgwQIuXrwIgIuLC5MnT1Zbn/1Zsbe358MPP2TKlCmlXsPf37/Y415eXqVeu6KQxLoQQpTcqegkxm0NIj4lE30dLb58W0q/iBfHqegkvveN4Oh/D30UCnizoRWjvWvR0EbKNwghipeSmc1HW4JUf4d88nodPpImpUIIIdQIjk3GZ8NpktKysK9WmU0+nthXMyzvsMpMmZeCuX79OkePHsXf3x9/f38uX76MlZUVcXFxpVmO+fPn88MPP3D16tUij0+cOJEvv/wSQ0NDJk6cWOxajyesH/esa3MHBwfz008/sW3bNhITE8nIyCj2/LFjx7Jp0yZsbW157bXXAPj333+JiYlh8ODBBUqaqLuX0vjpp58YNmwYPXv2pFWrVkD+w4G9e/eyYcMGBgwY8Myv+ThjY2OCg4Of6VsPryJJrAshhOaKKv2yfGBT6tWQvz/FiyckNpnlvhEcCrulGmtX14Ix7ZzxcDArx8iEEC+qq3fSGL7xNJG30zDQ1WZhn8Z0kSalQgghNBR1O5XB604RdzcD8yp6bBjm+cps7CjzxHp6ejrHjx/H19cXPz8/zp49i4uLC0FBQcXOa9KkSYGn5Uqlkvj4eG7fvs0PP/zA+++/X+S8du3asXfvXqpWrUq7du2efEMKBUeOHCk2hmdRmzs6OpotW7awZcsWLl26hJeXFwMGDODdd9/FxKT4b7ri4n+UJvdSGvXr1+f9999nwoQJBcYXLlzImjVrVLvYn6fhw4fTrFkzRo0a9VTrJCcn8+OPP6pibtCgAT4+Pmq/Bi8LSawLIYRmpPSLqKjC41NY4RfJbyE3yPvvp3ZPRzPGtHOmbW1z2YUqhADgROQdPvz5rKpJ6dohHq9MMkQIIcSzk5CSydD1pwm7mYKhnjarBnnQurbmfSUrqjJLrH/22Wf4+fkRFBRE/fr1VaVg2rZti6mpqdr5s2bNKvCxlpYWFhYWeHt7P7PSLOo8bW3u1157jdOnT+Pq6srAgQPp378/NjY2zy3eZ01fX58LFy7g7OxcYDwiIoKGDRuSmZn53GOYO3cuCxcupGvXrkU+3Bg3bpzaNc6cOUOnTp0wMDDA09MTgNOnT5ORkcGhQ4do2rTpc4n9RSKJdSGEUO/01STGbpHSL6Jiu3onjVVHI9kVGEd2bv6P7w1tjBnj7UynBjXQ0pLvZyFeVVv+jWHGvv+alNpWZc0gd2lSKoQQotTuZ2bzweZATkQmoqutYEHvxrztVnHynqVRZon1h4nwCRMm0LNnT+rUqVPiYMvb09bm/t///sfAgQNxcXF5lmEVq2fPnhqfu2fPnmKPOzs7M3nyZD744IMC4ytXruS7777jypUrpYoR8pPd6enptG3bttjzHB0dn3hMoVAQFRWl9lpt2rTB2dmZNWvWoKOTv+MwJyeHESNGEBUVxdGjR0sWfAUkiXUhhHiyvDwlK49G8t0hKf0iXh7x9zJZcyyKLf/GkJGdvxmkloUhH3o7093NGl1trXKOUAhRVnJy85jzx0U2nLgKQPfG1syXJqVCCCGegQc5uXyyI4TfQ28C8HnX+oxo8/KWcy6zxHpISAj+/v74+flx7Ngx9PT0VLvWvb29n1ui/VkmlstbZmYmy5Ytw9fXl4SEBPLy8gocP3v2bKE5w4YNU/1ZqVSyd+9eTExM8PDwACAwMJDk5GR69uzJ+vXri73+ihUrGD9+PD4+PrRs2RLIr7G+YcMGlixZUijhXhL169fn8uXLanf9PwsGBgYEBQUVetMhLCwMDw8P0tPTn3sM5U0S60IIUTQp/SJedklpWWwIiGbDiaukZOYAYFPVgFFeTvT2sJXEmhAvuXsZ2Yzd+v9NSie9UYcx7aRJqRBCiGcnL0/Jl3+EsT7gKgDvt3ViWpd6L+W/NaXNr5X4t8vGjRvTuHFjVamOkJAQFi1axJgxY8jLy3tuCdVHa2arSyxr4tixY6xatYqoqCh27tyJjY0NmzdvxtHRscimps+yeerw4cM5dOgQ7777Lp6enhp9Qz6aLJ8yZQp9+vRh5cqVaGvn/9KUm5vLhx9+qNEXf/To0dSoUYPvvvuOHTt2APkJ8e3bt/P222+rnQ/5u/qHDx9O7969MTAwUI0fPnyY7OxsjdZ4WsbGxsTExBRKrMfGxmJkZFQmMQghhHjxPF76ZfbbDejjYftS/gAoXl1mhnpMfKMuI9s68fO/Maw9Fs315Aym77vAksMRjGjjyMDmdhhV0lW/mBCiQpEmpUIIIcqClpaCGW+5UN24EvP+DKeKvo78TvWYEu9YVyqVBAUF4efnh5+fH8ePHyclJQVXV1e8vLxYtGjR84pVZcqUKSQlJT0xsfztt98WO3/37t0MGjSIgQMHsnnzZsLCwnBycuL7779n//797N+/v9AcTZunAvj6+hZ73MTEhP3799OqVSs1d1o0CwsLjh8/Tt26dQuMX7p0iZYtW5KYmFiqdUti/PjxbNmyhQcPHtCnTx+GDx/Oa6+9VuycZ/lwAvLrsO/du5cFCxYU2Hk/efJkevXqxeLFizW+n4pKdqwLIcT/k9Iv4lWWmZ3LjjOxrPKP4npyBgDGlXQY2tKBoa0cMTPUK+cIhRDPwonIO4z+6Sz3MrKxMqnEmsHSpFQIIcTzdzbmLk1sq760ifUyKwVjampKamoqjRs3VpWAadOmDVWrVi1pzKX2tInlJk2aMGHCBAYPHoyRkREhISE4OTkRFBREly5diI+Pf57h4+LiwrZt23B1dS3VfFNTUzZs2FBod/m+ffsYOnQod+/eLXb+6dOnycvLo3nz5gXG//33X7S1tVVvAaiTk5PDr7/+ysaNG/nzzz9xdnbGx8eHQYMGUb169ULna/pwQqFQcOTIEbXXz8rKYvLkyaxcuZKcnPxXoHV1dRk9ejTz5s1DX19fo/uoyCSxLoQQ+ZLSspiwPVhKv4hXXnZuHvuCb/CDXwRRt9MAMNDVZkBzO0a2caKGiTQ0FKKi+vnfa3yx7wI5eUrcbKuyWpqUCiGEEM9EmSXW//jjD9q0afPMkngpKSkcOXKEunXrUr9+fY3mPG1iuXLlyoSFheHg4FAgsR4VFYWLiwuZmZnFzvfx8WHJkiWFyo2kpaUxduxY1q1bV+z8P//8k6VLl7Jy5Urs7e2LPbcoEydOZNOmTXz22Wd4enoC+UnxefPmMWjQILW7vT09Pfn000959913C4zv2bOHb775hn///bfEMSUkJLB69Wq++uorcnNzefPNNxk3bhzt27cv8VollZ6eTmRkJAC1atWicuXKz/2aLwpJrAshhJR+EaIouXlKDl2IZ7lfBOevpwCgp61FL/eajPJywr6aYTlHKITQ1ONNSt92s+abXtKkVAghhHhWyqzGeteuXUs6pYA+ffrQtm1bPvroIzIyMvDw8ODq1asolUq2bdtGr1691K4xbNgwhg8fTmRkZKHE8qNNPp+kRo0aRERE4ODgUGD8+PHjODmp73C7ceNG5s2bVyixnpGRwaZNm9Qm1j08PMjMzMTJyYnKlSujq1uw9mVSUlKx8xcsWKCqkX7zZn53XisrKyZPnswnn3yiNv6wsDCaNm1aaLxJkyaEhYWpnf+4U6dOsX79erZt24alpSVDhw7l+vXrvPXWW3z44YcsWLCgxGuWROXKlWnUqNFzvYYQQogXz+OlX5wsDPlBSr8IAYC2loIujazo3LAGR6/cYfmRCE5dTWLrqRi2n46hW2NrRnvXkv9fhHjB3cvI5qMtZzl25Q4AkzvV5UPvWvLwWAghhHgBlPn70UePHuV///sfAHv37kWpVJKcnMzGjRuZM2eORon1p00sjxw5ko8//ph169ahUCi4ceMGJ0+eZNKkSUyfPv2J81JSUlAqlSiVSu7fv0+lSv//2l1ubi779+/H0tJS7fX79+/P9evX+frrr6levXqJfyjS0tLi008/5dNPPyUlJX8HUkmepujr63Pr1q1CDxFu3ryJjo5m3xIJCQls3ryZ9evXc+XKFbp168bWrVvp1KmT6n6GDh1K586dn2livWfPnmzYsAFjY2O1jWr37NnzzK4rhBDixSKlX4TQjEKhwKuOBV51LDgVncQPfhH4XbrNvuAb7Au+Qcf61RnTrhZN7EzLO1QhxGOi/2tSGvVfk9JFfRvTuaE0KRVCCCFeFGX+2+e9e/cwMzMD4MCBA/Tq1YvKlSvTtWtXJk+erNEaT5tYnjp1Knl5eXTo0IH09HTatm2Lvr4+kyZNYuzYsU+cV7VqfpF+hUJBnTp1Ch1XKBTMmjVL7fVPnDjByZMnady4scYxP0lpyn+88cYbTJs2jX379mFikt/oJjk5mc8++4zXX39dozVq1qxJrVq18PHxYejQoVhYWBQ6x9XVlWbNmpU4vuKYmJioEvcPYxdCCPFqkdIvQpSOp6MZno6enL9+jxV+kew/f5O/L97i74u3aFmrGmPaOdOyVjX5f0mIF8CJiDuM/lmalAohhBAvshLXWH9aderUYc6cOXTt2hVHR0e2bdtG+/btCQkJoUOHDty5c6fMYsnKyiIiIoLU1FRcXFyoUqVKsef7+/ujVCpp3749u3fvVj0gANDT08Pe3h5ra2u1123atCk//PADr732WqnivnXrFpMmTeLw4cMkJCTw+JcwNze32PnXr1+nbdu2JCYm0qRJEwCCg4OpXr06f/31F7a2tmpjOHbsGG3atClV/OLZkRrrQohXiZR+EeLZirydykq/SPYGXScnL//nSTfbqoxp50yHepZoaUmCXYjy8NM/15j56yNNSge7Y2kkTUqFEEKI56XMmpc+rR9++IGPP/6YKlWqYG9vz9mzZ9HS0mLZsmXs2bMHX1/fIud17tyZmTNnqk1G379/nx9++IEqVaowZsyYYs+NiIggMjKStm3bYmBggFKp1GiHzrVr17C1tUVLS0vtuUU5dOgQs2bN4quvvqJRo0aFaqyr+wJ26dKFmJgYPvroI6ysrArF/HhT16KkpaXx888/ExISgoGBAa6urvTv379QLC+yjIwMlEqlqlnptWvX2Lt3Ly4uLrzxxhvlHF3ZkMS6EOJV8Xjplx5u1nz1TiMp/SLEM3A9OYM1R6PYeiqGBzl5ANStbsSH7WrRtZEVOtql+5lXCFEyObl5fPl7GBtPXgPy/62bJ01KhRBCiOfuuSbWf/31V40X7N69u9pzzpw5Q2xsLK+//rpql/gff/xB1apVadWqVZFzfvzxR2bMmIGJiQndunXDw8MDa2trKlWqxN27dwkLC+P48ePs37+frl278u2332JnZ1fkWomJifTp0wdfX18UCgVXrlzByckJHx8fTE1N+e677zS61/T0dGJiYsjKyiow7urqWuy8hwn5xxPiDxP76nacGxkZcezYMdzc3DSK81lp0qSJxq8Gnz17tsjxDz/8kPnz56u+7lu3bqV79+4YGhoC+SVpBgwYwP79+9Ve44033qBnz56MGjWK5ORk6tati56eHnfu3GHhwoWMHj1awzuruCSxLoR4FUjpFyHKxu37D1gXEM3mk9dIfZADgJ1ZZUZ51aKXuw36OpLcE+J5uZeezUdbpUmpEEIIUR6ea2Jd053ZmiSFH5ebm8u5c+ewt7fH1LT4pkkPHjxg586dbN++nePHj3Pv3j3VdV1cXOjUqRPDhw+nfv36xa4zePBgEhISWLt2LfXr1yckJAQnJycOHjzIxIkTuXDhQrHzb9++zbBhw/jzzz+feE/F8ff3L/a4l5dXscddXFz4+eefVWVcyoom9eMf+uKLL4oc19bW5ubNm6omr8bGxgQHB6saqd66dQtra2uNvo/Mzc3x9/enQYMGrF27lmXLlhEUFMTu3buZMWMGFy9e1DjeikoS60KIl1lenpJVR6NYcOiSqvTL8gFNqW8lf98J8Tzdy8hm88mrrAu4SlJa/gaS6sb6jGzjRH9PO3lTRIhnLPpOGsM3nCbqzsMmpW50blijvMMSQgghXhkVphTM+PHjadSoEcOHDyc3NxcvLy9OnDhB5cqV+f333/H29tZ4rXv37pGRkUG1atVKVMKkRo0aHDx4kMaNG2NkZKRKrEdFReHq6kpqamqx8wcOHMi1a9dYvHgx3t7e7N27l1u3bjFnzhy+++47unbtqnEspXHo0CG+++47Vq1ahYODw3O91rOmpaVFfHy8KrH+6OcfSpZYr1y5MuHh4djZ2dGnTx8aNGjAF198QWxsLHXr1iU9Pf253suLQBLrQoiXVVJaFhN3BON3SUq/CFFe0rNy2HYqltVHo4hPyQTAtLIuw1o5MqSFAyaVK04JQSFeVAERd/jwvyal1iaVWDPEgwbW0qRUCCGEKEulza+V+W+nu3bt4r333gPgt99+Izo6mvDwcDZv3sz//vc/AgICNF7LxMQEE5OS/9CRlpamqsv9qKSkJPT19dXOP3LkCPv27cPDwwMtLS3s7e15/fXXMTY2Zu7cuRol1pOTk/nxxx9Vu6obNGiAj4+PRvfTt29f0tPTqVWrFpUrVy70UCEpKUntGs9CcnIyu3btIjIyksmTJ2NmZsbZs2epXr06NjY2z/36zs7O/PLLL7zzzjscPHiQCRMmAJCQkCBJZiGEqMCk9IsQL4bKejr4tHZk4Gt2/BJ0nRV+kVxNTGfhX5dZ5R/Jey3sGd7aUZoqClFKm/9rUpqbp6SJXVVWDZImpUIIIURFolFifenSpbz//vtUqlSJpUuXFnvuuHHjij1+584datTIf61t//799O7dmzp16uDj48OSJUs0DPvptGnThk2bNvHll18C+aVk8vLymD9/Pu3atVM7Py0tTbXj2tTUlNu3b1OnTh0aNWr0xNrijzpz5gydOnXCwMAAT09PABYuXMhXX33FoUOHaNq0abHzFy9erPYaz1toaCgdO3bExMSEq1evMnLkSMzMzNizZw8xMTFs2rTpuccwY8YMBgwYwIQJE+jQoQMtWrQA8nf0l3WZHCGEEE+vUOkXc0OWD5TSL0KUN30dbfo2s6NX05rsPx/PD74RhMffZ5V/FOsDrtLXw5b32zpha1Z444oQorCc3Dxm/x7Gpv+alL7TxIa5PRtJk1IhhBCigtGoFIyjoyNnzpyhWrVqODo6PnkxhYKoqKhi17K3t2fNmjV06NABR0dHVqxYQdeuXblw4QKtW7fm7t27Jb+LEjp//jwdOnSgadOmHDlyhO7du3PhwgWSkpIICAigVq1axc5v1qwZc+bMoVOnTnTv3p2qVasyd+5cli5dqtrBXZw2bdrg7OzMmjVr0NHJf7aRk5PDiBEjiIqK4ujRo8/sXp+Xjh070rRpU+bPn1+gnMuJEycYMGAAV69eLXKelpYW77//vuqNgeXLl/Pee++pduqnp6ezZs0ajWv1x8fHc/PmTRo3bqzqBXDq1CmMjY2pV6/e09/oC05KwQghXhZFlX6Z804jqkjpFyFeOEqlkiPhCXzvG0FQTDIA2loK3naz5kPvWjhbGpVvgEK8wO6lZzNmy1mOR9xBochvUjraS5qUCiGEEOWpwtRYnzlzJosXL8bKyor09HQuX76Mvr4+69atY82aNZw8ebJM4rh37x7ff/89ISEhpKam0rRpU8aMGYOVlZXauT/99BM5OTkMHTqUwMBAOnfuTFJSEnp6emzYsIG+ffsWO9/AwICgoKBCid+wsDA8PDxKVBs8MzOTrKysAmNFfQOYmppq/MOaJqVkTExMOHv2LLVq1SqQWL927Rp169YlMzOzyHne3t4axeHr66tRrK86SawLIV4GZ64m8ZGUfhGiwlEqlfwTlcQPfhEcu3IHAIUCOrnUYEw7ZxrVlDrRQjwq6nYqIzaeIepOGpX18puUdmogTUqFEEKI8lYuNdYf5uRL8ovvzJkzadiwIbGxsfTu3VtV01xbW5upU6c+TTglYmJiwv/+979SzX1YIx7A3d2da9euqZpompubq51vbGxMTExMocR6bGwsRkbqd/ikpaUxZcoUduzYQWJiYqHjRe32frR8TGJiomrH/cPyKSdPnuTgwYNMnz5d7fUB9PX1SUlJKTR++fJlLCwsnjjPz89Po/U1kZaWxrx58zh8+DAJCQnk5eUVOK7u7QkhhBDlS0q/CFGxKRQKWtSqRota1QiJTeYHvwgOXrjFgQvxHLgQT9s6FozxroWno5k8KBOvvONX7vDhz4GkZOZgbVKJtUOa4WIt/94JIYQQFVmpdqxv2rSJb7/9litXrgBQp04dJk+ezKBBg0q0TmZmJpUqlbw5S2xsLAqFgpo1awL5pT+2bNmCi4sL77//vtr5bdu2xdvbG29vb1q2bFmqGJ7GuHHj2Lt3LwsWLKBly5YABAQEMHnyZHr16qW2hvqYMWPw9fXlyy+/ZNCgQSxfvpzr16+zatUq5s2bx8CBA4ud36tXL9q1a8dHH31UYPz777/n77//5pdfflF7DyNGjCAxMZEdO3ZgZmZGaGgo2tra9OjRg7Zt25ZJHfj+/fvj7+/PoEGDsLKyKvQL28cff/zcYyhvsmNdCFFRPV765W03a76S0i9CVHiXb91nhV8kv4bcIDcv/9cMD3tTxrRzxruuhSTYxStp88mrzPwtjNw8JU3tqrJqkAcWRvrlHZYQQggh/lNmpWAWLlzI9OnT+eijj2jVqhUAx48fZ/ny5cyZM4cJEyYUOz83N5evv/6alStXcuvWLS5fvoyTkxPTp0/HwcGB4cOHq42hTZs2vP/++wwaNIj4+Hjq1q1LgwYNuHLlCmPHjmXGjBnFzp8zZw5Hjx7lxIkT5OTk4OHhgbe3N15eXrRq1UpV//tREydOVBvXQwsXLiz2eFZWFpMnT2blypXk5OQAoKury+jRo5k3b55qF/+T2NnZsWnTJry9vTE2Nubs2bM4OzuzefNmtm7dyv79+4udX6VKFYKDg3F2di4wHhERgZubG6mpqWrv8d69e7z77rucOXOG+/fvY21tTXx8PC1atGD//v0YGhqqXeNpVa1alT/++EP1ffgqksS6EKIierz0y6zuDejbTEq/CPEyiUlMZ9XRSHaeiSMrN/+twvpWxoxpV4suDa3Q1pL/38XLLzs3j9m/hbH5n/wmpT2b2PC1NCkVQgghXjhlllh3dHRk1qxZDB48uMD4xo0bmTlzJtHR0cXOnz17Nhs3bmT27NmMHDmS8+fP4+TkxPbt21m8eLFGNdZNTU35559/qFu3LkuXLmX79u0EBARw6NAhRo0apXEJkJycHE6fPo2/vz9+fn4cOXIELS2tIuuDt2vXTqM1FQoFR44c0ejc9PR0VaPTWrVqFZnQL0qVKlUICwvDzs6OmjVrsmfPHjw9PYmOjqZRo0ZqE+P29vaMGzeOTz75pMD4d999x9KlS7l27ZpGcUD+Q5XQ0FBVnfqOHTtqPPdpOTo6sn//furXr19m13zRSGJdCFGR5OUpWX0sim8PSukXIV4Vt1Iy+fF4ND/9c430rPxyhU7mhozyrkUPNxv0dLTKOUIhno976dl8uCWQgIhEaVIqhBBCvODKrMb6zZs3VeVLHtWyZUtu3rypdv6mTZtYvXo1HTp0YNSoUarxxo0bEx4erlEM2dnZql3df//9N927dwegXr16GsXwUFRUFOfOnSMkJITQ0FCMjIxo27Ztkec+y2aa9+7dIzc3FzMzMxo1aqQaT0pKQkdHR+0X0MnJiejoaOzs7KhXrx47duzA09OT3377japVq6q9/qxZsxgxYgR+fn40b94cgH///ZcDBw6wZs0aje4hNjYWW1tbWrduTevWrTWa86x9+eWXzJgxg40bN2r8UEIIIUT5kNIvQryaqhtX4rM36zPaqxYbTlxlw4mrRN1J49NdoSz+6zLvt3WibzM7DPRkB694eTzepHRxXzfekCalQgghxEunxFtEnJ2d2bFjR6Hx7du3U7t2bbXzr1+/XqgECUBeXh7Z2dkaxdCgQQNWrlzJsWPH+Ouvv+jcuTMAN27coFq1amrnDxgwABsbG1q2bMmBAwd47bXX+PPPP7lz5w579+7VKAbIL51y8OBBMjIygP9v5qpOv3792LZtW6HxHTt20K9fP7Xzhw0bRkhICABTp05l+fLlVKpUiQkTJjB58mS184cOHUpAQADGxsbs2bOHPXv2YGxszPHjxxk6dKhG9+Dg4ICXlxdr1qzh7t27Gs151r777jsOHjxI9erVadSoEU2bNi3wnxBCiBfDmatJvLnkGH6XbqOvo8W8no1Y3NdNkupCvEJMDfWY8HodAqa257M362FhpM+Ne5nM/C2M1t8cYblvBCmZmv0uIMSL7PiVO/RYHkDUnTRsqhqwa1RLSaoLIYQQL6kSl4LZvXs3ffv2pWPHjqra1gEBARw+fJgdO3bwzjvvFDvf3d2dCRMm8N5772FkZERISAhOTk7Mnj2bv/76i2PHjqmNwc/Pj3feeYeUlBSGDBnCunXrAPjss88IDw9nz549xc7X0tLC3NwcHx8f2rdvT+vWrUu04zkxMZE+ffrg6+uLQqHgypUrODk54ePjg6mpKd99912x883MzAgICChUwiQ8PJxWrVqRmJiocSwA165dIzAwEGdnZ1xdXUs0t7SCgoLYsmUL27Zt4/bt23Tu3Jn33nuPbt26qa0RDzBz5kxmzJiBllbBZzv37t1j1KhRbN26Ve0as2bNKvb4F198oXaNik5KwQghXmRS+kUI8SSZ2bnsCoxjpX8kcXfzN6kY6eswuKU9Pq0cqVZFGjuKimfTyavM+q9Jqbu9KSvfc5cmpUIIIUQFUGY11gECAwNZtGgRFy9eBKB+/fp88sknNGnSRO3cffv2MWTIEKZNm8bs2bOZNWsWly5dYtOmTfz++++8/vrrGsWQm5tLSkoKpqamqrGrV69iaGiIhYVFsXPv3r3LsWPH8PPzw9/fn4sXL+Lm5oa3tzfe3t688cYbxc4fPHgwCQkJrF27lvr166seDhw8eJCJEydy4cKFYucbGhryzz//FCgDA3Du3DmaN29Oenq6mrt/epGRkaxfv56oqCgWL16MpaUlf/75J3Z2djRo0EDjdZRKJX5+fmzZsoXdu3eTl5dHz549VQ87nsTW1hZbW1t++uknnJycgPwHJoMHD6ZGjRqcOnXqqe7vVSGJdSHEiyopLYtPdgTjK6VfhBDFyM7N4/fQG/zgG8mVhPw+QZV0tejvacfINk5YVzUo5wiFUC87N49Zv13gp39iAOjZ1Ia5PRuhryMljoQQQoiKoEwT60/r2LFjzJ49m5CQEFXTyxkzZqhNaD/Uvn179uzZU6ieeEpKCj169NC4eehDERERzJkzh59//pm8vDxyc3OLPb9GjRocPHiQxo0bF9h1HxUVhaurq9rmoe3ataNhw4YsW7aswPiYMWMIDQ3VaNf+0/D396dLly60atWKo0ePcvHiRZycnJg3bx5nzpxh165dpVr37NmzDB8+nNDQULWfw7t37/LBBx9w4MABvvvuOy5fvsySJUuYPHkys2bNQkdHs8RLcnIyu3btIjIyksmTJ2NmZsbZs2epXr06NjY2pbqPikQS60KIF9GZq0mM3RrEzXuZ6OtoMat7A/o2s5WGbUKIJ8rLU3Io7BY/+EUQGncPAF1tBT2b1GSUdy0czQ3LOUIhipacnsWYLWdVTUqndK7HB22d5N88IYQQogIps+alZ8+eRVdXV7Xbet++faxfvx4XFxdmzpyJnp6e2jXatGnDX3/9VdJLq/j5+ZGVlVVoPDMzU6OkdGJiIv7+/vj5+eHn50dYWBhVq1alW7dueHl5qZ2flpZWZOmYpKQkjcqgzJkzh44dOxISEkKHDh0AOHz4MKdPn+bQoUNq5z+tqVOnMmfOHCZOnIiRkZFqvH379nz//fclWisuLo4tW7awZcsWzp8/T4sWLVi+fLnaeaampuzYsYPPPvuMDz74AB0dHf7880/V50MToaGhdOzYERMTE65evcrIkSMxMzNjz549xMTEsGnTphLdixBCiKcjpV+EEKWlpaWgc8MadGpQneMRd1juG8E/UUlsPxPLzsBY3mxkxYfezrhYy98n4sUR+V+T0uj/mpQu6deE112ql3dYQgghhCgjJd6x3qxZM6ZOnUqvXr2IiorCxcWFnj17cvr0abp27crixYs1WicrK4uEhATy8vIKjNvZ2T1xTmhoKABubm4cOXIEMzMz1bHc3FwOHDjAqlWruHr1arHX1tbWxtzcnDZt2uDl5YW3t3ehsizFefPNN3F3d+fLL7/EyMiI0NBQ7O3t6devH3l5eRrt+A4ODubbb78lODgYAwMDXF1dmTZtmkYNYJ9WlSpVOHfuHI6OjgV23F+9epV69eqRmZmpdo1Vq1axZcsWAgICqFevHgMHDmTAgAHY29trHMeyZcuYOnUqPXr0IDAwEG1tbbZs2ULjxo01mt+xY0eaNm3K/PnzC9zHiRMnGDBggNrvg5eB7FgXQrwoHi/90r2xNV/3lNIvQojSC7yWxA++kRwOT1CNta9nyZh2tXC3NytmphDP37Ert/nw57Pcz8zBpqoBa4d4yINkIYQQooIqsx3rly9fxs3NDYCdO3fi5eWlSrD269dPbWL9ypUr+Pj4cOLEiQLjSqUShUJRbAkRNzc3FAoFCoWC9u3bFzpuYGBQqLxKUUJDQ0tUR/xx8+fPp0OHDpw5c4asrCw+/fRTLly4QFJSEgEBARqt4ebmxs8//1zqGJ5G1apVuXnzJo6OjgXGg4KCNC6fMmfOHPr378/SpUs1ToQ/qnPnzpw5c4aNGzfy7rvvkpGRwcSJE3nttdeYNWsWn376qdo1Tp8+zapVqwqN29jYEB8fX+KYhBBClM6jpV/0/iv90k9KvwghnpK7vRk/DjUj7EYKP/hF8Me5mxwJT+BIeALNHc34qL0zrZ3N5e8aUeYeb1K6apA75tJwVwghhHjllDixrlQqVbvM//77b9566y0gvxnlnTt31M4fOnQoOjo6/P7771hZWZXoB+Ho6GiUSiVOTk6cOnWqQJNSPT09LC0t0dZW3yBm7NixT1WjvWHDhly+fJnvv/8eIyMjUlNT6dmzJ2PGjMHKykrj+ymtpy3H069fP6ZMmcLOnTtRKBTk5eUREBDApEmTGDx4sEYxxMTEPNUvMbm5uYSGhmJtbQ3kPxRZsWIFb731FiNGjNAosa6vr09KSkqh8cuXL6ttYCuEEOLpFVX65fsBTaVUgxDimXKxNub7AU2ZeDuVVf5R7AmK49/oJP798RSuNU340NuZN1yqo6UlCXbxfEmTUiGEEEI8qsSlYNq3b4+trS0dO3Zk+PDhhIWF4ezsjL+/P0OGDFFbfsPQ0JDAwEDq1av3NHE/FS0tLeLj47G0tCwwnpCQgI2NDdnZ2U+cm52dTefOnVm5cmWZlG0pyuPleBo0aMA777yjcTmerKwsxowZw4YNG8jNzUVHR4fc3FwGDBjAhg0bnvhwIjQ0lIYNG6KlpaUqy/Mkrq6upb097ty5g7m5udrzRowYQWJiIjt27MDMzIzQ0FC0tbXp0aMHbdu21bgsUUUmpWCEEOVFSr8IIcrLjeQM1hyLYuupGDKz8zf8OFtW4UPvWnRrbI2utlY5RyheRsnpWXz481lOROY3KZ3auR7vS5NSIYQQ4qVQ2vxaiRProaGhDBw4kJiYGCZOnMgXX3wB5O8CT0xMZMuWLcXOb9asGYsWLaJ169YluSy//vorXbp0QVdXl19//bXYc7t37/7E2OHpa7RbWFhw4sSJckusm5iYcPbsWWrVqsU333zDkSNHOHjwoKocT2xsrEbrxMbGcu7cOVJTU2nSpIna+3n0gYSWlhYKhYJHv30efqyupM+zcu/ePd59913OnDnD/fv3sba2Jj4+nhYtWrB//34MDQ01Xmv58uV8++23xMfH07hxY5YtW4anp2eR5164cIEZM2YQGBjItWvXWLRoEePHjy9wzv3795k+fTp79+4lISGBJk2asGTJEpo1a6Y6Z+jQoWzcuLHAvE6dOnHgwAGN45bEuhCiPEjpFyHEiyAx9QHrA66y8cRV7j/IAcCmqgEDmtvR270mlsaVyjlC8bKISEhlxMbTXE1Mx1BPm8XSpFQIIYR4qZRZYv1JMjMz0dbWRldXt9jzjhw5wueff87XX39No0aNCp3/pOAfT+o+SXFJ3YfJYICibvthjXYfH59i72HChAno6+szb968Ys97XoyNjQkMDKR27dq8/vrrvPXWW3z88cfExMRQt25dMjIyip0/e/ZsJk2aROXKlQuMZ2Rk8O233zJjxowi5127dg07OzsUCgXXrl0r9hpFNTE1MzPj8uXLmJubY2pqWmwCJikpqdj1H3X8+HFCQ0NJTU2ladOmdOzYUeO5ANu3b2fw4MGsXLmS5s2bs3jxYnbu3MmlS5cKvdUA+bXdd+zYgbu7OxMmTGDKlCmFEut9+/bl/PnzrFixAmtra3766ScWLVpEWFiYqo790KFDuXXrFuvXr1fN09fXx9TUVOPYJbEuhChLUvpFCPEiSsnMZvPJa6w7Hk1iWhYA2loK2tezpF8zW7zqWKAju9hFKUTdTmVnYBw//XNN1aT0x6Ee1Ksh/+4JIYQQL5NyT6xr6mFS/PGkalnsdL527dozq9G+adMmateujbu7e6Gd0QsXLnzmsT/qacvxaGtrc/PmzUJJ48TERCwtLTX6Ghw9epSWLVuio1Pwlf+cnBxOnDhB27ZtC83ZuHEj/fr1Q19fv9BO7ccNGTJEbQzPSvPmzWnWrBnff/89AHl5edja2jJ27FimTp1a7FwHBwfGjx9fILGekZGBkZER+/bto2vXrqpxd3d3unTpwpw5c4D8xHpycjK//PJLqWOXxLoQoqzcTcvik50hHAlPAKT0ixDixZORlcvvoTfYdjqWwGt3VeM1jCvR26MmfTxssTWrXMwKQsD9zGz+CL3JzsC4At9HHvamrJQmpUIIIcRLqbT5tTL/bdjX17esL6nycBf1w+arpXX+/HmaNm0K5DfKfJQmr8GnpaUxb948Dh8+TEJCQqF4oqKiip2/ePFiBg4cyC+//ML//vc/nJ2dAdi1axctW7ZUe/2HDzEeFxISUqA8TnHatWtXZHL+3r17tGvXrsjk/KPJ8meVOD99+jS+vr5Ffh41ecCRlZVFYGAg06ZNU41paWnRsWNHTp48WaqYcnJyyM3NpVKlgq8fGxgYcPz48QJjfn5+WFpaYmpqSvv27ZkzZw7VqlV74toPHjzgwYMHqo+Lat4qhBDPWuC1JD7aIqVfhBAvNgM9bXp72NLbw5Yrt+6z7XQse87GEZ+SybIjEXzvG0FrZ3P6NrPldZfq0nBSqOTlKfk3OomdgbH8eS6ejOz832W0FOBVx4LeHvnfM1K/XwghhBCPKvPEuqOjI7a2hX8ZVyqVGtcGBzh8+PATE9Pr1q1TO3/z5s2sXLmS6OhoTp48ib29PYsWLcLJyYm333672LlP+3BgxIgR+Pv7M2jQIKysrEqcmHB1deXcuXOFxr/99ttid9w/LL+iUCioU6dOgevm5uaSmprKqFGjNIrhScn5xMTEJ9Y2L0kSWJOnQ19//TWff/45devWpXr16gXi0fRzeufOHXJzc6levWCNxOrVqxMeHq5xvI8yMjKiRYsWfPnll9SvX5/q1auzdetWTp48qXoIAtC5c2d69uyJo6MjkZGRfPbZZ3Tp0oWTJ08+8es4d+5cZs2aVaq4hBCipKT0ixCioqpd3Yjpb7nwaee6HLpwi+2nYzkecYdjV/L/MzPUo2cTG/p52uJsaVTe4YpyEnc3nd2B19l1NpbYpP8vp+lkYUhvd1t6NrWhutTqF0IIIcQTlEtivaidzklJSTg6OmpUhmTWrFnMnj0bDw+PUiWmV6xYwYwZMxg/fjxfffWV6pqmpqYsXrxYbWL9af3555/88ccftGrV6qnWycrKKvLBgp2dXZHnL168GKVSiY+PD7NmzcLExER1TE9PDwcHB1q0aFHsNXv27AnkJ66HDh2Kvv7/vwqZm5tLaGjoE3fNV61aVeOvlSbfB0uWLGHdunUMHTpUozXL0ubNm/Hx8cHGxgZtbW2aNm1K//79CQwMVJ3Tr18/1Z8bNWqEq6srtWrVws/Pjw4dOhS57rRp05g4caLq45SUFGxtbZ/fjQghXlm37z/gk50hHL18G5DSL0KIiklfR5tuja3p1tiamMR0dpyJZWdgLLdSHrD2eDRrj0fjYW9KP087ujaywkBPdrG/7DKzczl4IZ6dZ+IIiLzDw8KoVfR16NbYinfdbWlqp/nvLUIIIYR4dZXot+Ps7Gzq1avH77//Tv369Ut1wSftdE5NTS1UOuNJVq5cyYYNGxg0aFCpYli2bBlr1qyhR48eBRqQenh4MGnSpFKtWRKmpqYal1wpyuXLlxk+fDgnTpwoMK6uTv3D8iuOjo60bNlSbaPZojxMxiuVSoyMjDAwMFAd09PT47XXXmPkyJFFzn10p//Vq1eZOnUqQ4cOVSXzT548ycaNG5k7d65GsWhpaT31wwlzc3O0tbW5detWgfFbt25Ro0aNUq9bq1Yt/P39SUtLIyUlBSsrK/r27YuTk9MT5zg5OWFubk5ERMQTE+v6+voFHmYIIcTz4H/5Np/sCOZOahb6Olp80a0B/T2l9IsQomKzq1aZSZ3qMr5jbfwu3Wbb6RiOhCdw5tpdzly7y6xfL/B2E2v6NbOjoY2J+gVFhaFUKgmOTWZnYBy/hdzgfmaO6lgLp2r09qhJl4byYEUIIYQQJVOixLquri6ZmZmlutDDXbYKhYLp06dTufL/Nw7Kzc3l33//xc3NTaO1srKyNKol/iTR0dE0adKk0Li+vj5paWmlXldTX375JTNmzGDjxo0FPg+aGjZsGDo6Ovz++++l2rHv5eWl+nNmZiZZWVkFjhdXhmX9+vVAftPOyZMnlyj+R687e/ZsFi5cSP/+/VVj3bt3p1GjRqxevVqjGuwTJkxg+fLlLF68WOMYHqenp4e7uzuHDx+mR48eQH4N/sOHD/PRRx+Vet2HDA0NMTQ05O7duxw8eJD58+c/8dy4uDgSExOxsrJ66usKIURpZOXk8e3BcNYciwagXg0jlvZvQp3qUiZBCPHy0NHWoqNLdTq6VCf+Xia7AmPZfia/FMhP/8Tw0z8xNLQxpl8zO7q7WWNcqeSbUcSLIeF+Jr8EXWfnmTiuJKSqxm2qGvCue03eda8pDW2FEEIIUWoKpfLhy2+a+frrr7l8+TJr165FR0fzvHy7du0A8Pf3p0WLFujp6amOPSxDMmnSJGrXrq12rSlTplClShWmT59ektBVXFxcmDt3Lm+//TZGRkaEhITg5OTEsmXLWL9+PWfPni3Vuppq0qQJkZGRKJVKHBwcCu0cV3d9Q0NDAgMDqVevXqmun56ezqeffsqOHTtITEwsdFyTMizR0dHk5OQU+npduXIFXV1dHBwcip1fuXJlQkJCCs2/fPkybm5upKenq40hLy+Prl27cvnyZVxcXAp9Hvfs2aN2DYDt27czZMgQVq1ahaenJ4sXL2bHjh2Eh4dTvXp1Bg8ejI2NjWonfVZWFmFhYQC8+eabDBw4kIEDB1KlShVVDfWDBw+iVCqpW7cuERERTJ48mUqVKnHs2DF0dXVJTU1l1qxZ9OrVixo1ahAZGcmnn37K/fv3OXfunMa70kvbtVgIIR4XfSeNcVuDOHf9HgCDW9jz2Zv1qaQru/eEEC+/vDwlJyIT2XY6hkMXbpGVm19q0UBXm66uVvRrZou7vam8uVMBZOXkcSQ8gV2Bsfheuk1uXv6vu/o6WnRpWIPeHra0cKqGlpZ8LYUQQgiRr7T5tRIXSj19+jSHDx/m0KFDNGrUqFCjyiclMx+WARk2bBhLlix5qiRgZmYmq1ev5u+//8bV1bVQQnXhwoXFzp84cSJjxowhMzMTpVLJqVOn2Lp1K3PnzmXt2rWljktTD3dGl5aLiwt37twp9fzJkyfj6+vLihUrGDRoEMuXL+f69eusWrWqQGmc4gwdOhQfH59CifF///2XtWvX4ufnV+x8W1tb1qxZU2gH99q1azWuGT5u3Dh8fX1p164d1apVK/UvOn379uX27dvMmDGD+Ph43NzcOHDggKqhaUxMDFpaWqrzb9y4UeCNhwULFrBgwQK8vLxU933v3j2mTZtGXFwcZmZm9OrVi6+++kr1vaqtrU1oaCgbN24kOTkZa2tr3njjDb788ksp9SKEKFNKpZI9Z68zfd950rNyqVpZl/m9XHmjQenLYQkhREWjpaWgdW1zWtc2Jyktiz1n49h2OpaIhFR2BcaxKzAOZ8sq9GtmyztNbKhWRX5ee9GEx6ew43QcvwRfJynt/9/IbWJXld7utrzV2ErePhBCCCHEM1XiHevDhg0r9vjDUiHqREREEBkZSdu2bTEwMHhi7fWiPNz9XhSFQsGRI0fUrvHzzz8zc+ZMIiMjAbC2tmbWrFkMHz5c7dxff/31ideuVKkSzs7OODo6ql2ntI4cOcLnn3/O119/TaNGjQo9WFD30MLOzo5Nmzbh7e2NsbExZ8+exdnZmc2bN7N161b279+vNoZH5z0qIiICDw8PkpOTi52/f/9+evXqhbOzM82bNwfg1KlTXLlyhd27d/Pmm2+qjcHIyIht27bRtWtXtee+rGTHuhDiadzPzObzX86zL/gGAK85mbGorxtWJgZqZgohxMtPqVRyNuYuW0/F8nvoDTKz83ex62oreKNBDfo1s6VVLXPZ+VyOktOz+DXkBjvPxKneuAKwMNKnZxMbenvUxNlSypkJIYQQonilza+VOLH+tJKSkujduze+vr4oFAquXLmCk5MTPj4+mJqa8t1335VlOKSnp5OamoqlpaXGc7S0tFAoFDz+qXs4plAoaN26Nb/88gumpqZFrpGcnMyuXbuIjIxk8uTJmJmZcfbsWapXr46NjY3a6z+83qPUNS99qEqVKoSFhWFnZ0fNmjXZs2cPnp6eREdH06hRI1JTU4udD/lNTP38/ArVqg8MDMTb25v79++rXSMuLo4ffviB8PBwAOrXr8+oUaM03rFub2/PwYMHS10S52UgiXUhRGkFxdzl423BxCSlo62lYELH2oz2dkZbEkRCCFFISmY2vwbfYPvp2AIJ3JqmBvT1sKW3hy01TCqVY4Svjtw8Jceu3GZnYBx/PVK2R1dbQYd61entUROvOhboaGupWUkIIYQQIl+ZJtZzcnLw8/MjMjKSAQMGYGRkxI0bNzA2NqZKlSrFzh08eDAJCQmsXbuW+vXrq+qbHzx4kIkTJ3LhwoWShlNqCQkJXLp0CYB69ephYWGh0bzDhw/zv//9j6+++gpPT08gf7f19OnT+fzzzzExMeGDDz6gefPm/Pjjj4Xmh4aG0rFjR0xMTLh69SqXLl3CycmJzz//nJiYGDZt2lTs9f39/Ys9/miT0KK4urqybNkyvLy86NixI25ubixYsIClS5cyf/584uLi1HwGoFu3bhgYGLB161a0tfPr7+bm5tK3b1/S0tL4888/1a7xtNavX8+BAwdYv359qZrAvgwksS6EKKm8PCWrjkbx3aFL5OQpsalqwNL+brjbm5V3aEIIUSGcv36P7adj+SX4OvczcwDQUkC7upb087SjXV1J6j4P0XfS2BUYy56z17l5L1M1Xq+GEb09bOnhZi0leoQQQghRKmWWWL927RqdO3cmJiaGBw8ecPnyZZycnPj444958OABK1euLHZ+jRo1OHjwII0bNy7QODQqKgpXV1eNdku3a9eu2LIx6krB3L9/nw8//JCtW7eSl5e/w0FbW5u+ffuyfPlyTExMip3fsGFDVq9eTcuWLQuMBwQE8P7773PhwgX+/vtvfHx8iImJKTS/Y8eONG3alPnz5xf4HJw4cYIBAwZw9erVYq//tBYtWoS2tjbjxo3j77//plu3biiVSrKzs1m4cCEff/yx2jXCwsJo27YtVatWpU2bNgAcO3aMlJQUjhw5QsOGDdWukZyczKlTp0hISFB9HR4aPHiw2vlP2wT2ZSCJdSFESSSkZDJxRwjHI/L7dHR1teLrdxphYiA1Z4UQoqQysnLZf+4m207HcPrqXdW4pZE+vT1q0tfDDrtqr+bmj2cl9UEO+0NvsjMwtsDn2MRAlx5u1vT2sKWBtbE0lRVCCCHEUymz5qUff/wxHh4ehISEUK1aNdX4O++8w8iRI9XOT0tLK3J3cVJSksZNG93c3Ap8nJ2dTXBwMOfPn2fIkCFq548YMYKgoCD++OMPWrRoAcDJkyf5+OOP+eCDD9i2bVux8yMjI4v8JBsbGxMVFQVA7dq1n9hg9PTp06xatarQuI2NDfHx8Wrjh/yk9I8//sjFixcBaNCgAT4+PmofCgBMmDBB9eeOHTsSHh5OYGAgzs7OuLq6anR9FxcXQkND+f777wkJCcHAwIDBgwfz0UcfYWamftfjb7/9xsCBA0lNTcXYuOAPwwqFQqPE+tM2gRVCiFfJkfBbTNoZSlJaFga62szq3oDeHjUlGSGEEKVkoKdNL/ea9HKvSURCKttPx7D77HUS7j9guW8ky30jaeVcjb7N7OjUoDr6OtrlHXKFoFQqORWdxM7AOPafu0l6Vn6ZSy0FtKltQR8PWzq6WMrnUwghhBDlrsQ71qtVq8aJEyeoW7dugd3WV69excXFhfT09GLnv/nmm7i7u/Pll19iZGREaGgo9vb29OvXj7y8PHbt2lXqm5k5cyapqaksWLCg2PMMDQ05ePAgrVu3LjB+7NgxOnfuTFpaWrHzW7dujZGREZs2bVKVj7l9+zaDBw8mLS2No0eP8vfffzNmzBhVqZlHWVpacvDgQZo0aVLgc/jXX3/h4+NDbGxssdc/c+YMnTp1wsDAQFWK5vTp02RkZHDo0CGaNm36xLnZ2dl07tyZlStXUrt27WKv8zzVqVOHN998k6+//vqVLePyLMiOdSGEOg9ycpn3ZzjrA64CUN/KmGX9m+BsWXzpNiGEECWXlZPHX2G32HY6huMRd3j4m5ZpZV3eaVKTfp621KkuzTSLciM5g92Bcew6G8e1xP//ndLR3JB33WvSq2lNqWMvhBBCiOeizHas5+XlFdkcMy4uDiMj9T8kzp8/nw4dOnDmzBmysrL49NNPuXDhAklJSQQEBJQ0nALee+89PD091SbWq1WrVuTObhMTkyc2G33Ujz/+yNtvv03NmjVVjTZjY2NxcnJi3759AKSmpvL5558XOb979+7Mnj2bHTt2APk7tGNiYpgyZQq9evVSe/0JEybQvXt31qxZg45O/pcwJyeHESNGMH78eI4ePfrEubq6uoSGhqq9hiaOHTvGqlWriIqKYufOndjY2LB582YcHR0LPbR43PXr1xk3bpwk1YUQ4jmKSEhl3NYgwm6mADCslQNTOtejkq7s8hNCiOdBT0eLrq5WdHW1IjYpnZ1nYtlxJo74lEzWBUSzLiCapnZV6edpx1uuVlTWK/GvYy+VzOxcDoXdYueZ2AIPIgz1tHnL1ZreHjVxtzeVt6uEEEII8UIq8Y71vn37YmJiwurVq1U7zi0sLHj77bexs7Nj/fr1ate4d++eqoRIamoqTZs2ZcyYMVhZWZX6RgA2b97MlClTuHHjRrHnrV69mp07d7J582Zq1KgBQHx8PEOGDKFnz5588MEHaq+Vl5fHoUOHuHz5MgB169bl9ddfR0tLfaOie/fu8e6773LmzBnu37+PtbU18fHxtGjRgv3792NoaFjsfAMDA4KCgqhXr16B8bCwMDw8PNS+NTBhwgT09fWZN2+e2lifZPfu3QwaNIiBAweyefNmwsLCcHJy4vvvv2f//v3s37+/2Pk9e/akX79+9OnTp0TXNTMz4/Lly5ibm2NqWvwP2UlJSSVauyKSHetCiKIolUp2nIll5q9hZGTnYmaox4LerrSvV728QxNCiFdOTm4eR6/cZuupWI6EJ5Cbl//rVxV9Hbq7WdOvmS2NbExemeSxUqkkNO4eOwNj+TX4Bin/NYAFaO5oRm8PW95sVOOVf+gghBBCiLJTZs1L4+Li6NSpE0qlkitXruDh4cGVK1cwNzfn6NGjWFpaljj4kurZs2eBj5VKJTdv3uTMmTNMnz6dL774otCcJk2aFPhh9cqVKzx48AA7OzsAYmJi0NfXp3bt2mXW9PL48eOEhoaqHi507NhRo3nVq1dn8+bNvPHGGwXGDx48yODBg7l161ax88eOHcumTZuoXbs27u7uhRL5CxcuVBtDkyZNmDBhAoMHDy5QziYoKIguXbqorRX/448/Mnv2bIYNG0ajRo0KNR7t3r17kfM2btxIv3790NfXZ+PGjcVeQ5N6+xWdJNaFEI+7l5HN//ae4/fQmwC0cq7Goj5uWBrL6/NCCFHeElIy2RkYx/bTscQk/f9mGBcrY/p52vK2m81L21D6TuoDfgm6zo4zsVy+laoatzaplF/qxb0m9tWK32AkhBBCCPE8lFliHfLLjmzbtq1AUnjgwIEYGBiondu2bVu8vb3x9vamZcuWVKpU8l/0hw0bVuBjLS0tLCwsaN++faFk80OzZs3SeP2iEvOPO3z4MIcPHyYhIYG8vLwCx9atW6fxtTIzM9HX1y/RDpVx48axd+9eFixYQMuWLQEICAhg8uTJ9OrVi8WLFxc7v127dk88plAoOHLkiNoYKleuTFhYGA4ODgUS61FRUbi4uJCZmVns/OJ29isUiiLLDYnCJLEuhHhU4LUkxm0N5npyBjpaCj55oy4ftHVCS+vV2AUphBAVRV6ekn+iEtl2OpYD5+PJys3/fUJfR4uujazo52lHM4eKXwIlOzcP3/AEdgbG4RueQM5/u/X1dLTo3KAGvT1q0rKWOdry75QQQgghylGZ1VhPS0vD0NCQ9957r6RTAXjjjTc4evQoCxcuJCcnBw8PD7y9vfHy8qJVq1Ya1dzWpNzM4zRJlmtq1qxZzJ49Gw8PD6ysrEr8A29eXh5fffUVK1eu5NatW1y+fBknJyemT5+Og4MDw4cPL3b+ggULUCgUDB48mJyc/FcndXV1GT16tEblXXx9fUsUb1Fq1KhBREQEDg4OBcaPHz+Ok5OT2vmPP4zQVEpKisbnSqJZCPGqyM1TssIvgkV/XyE3T4mtmQFL+zWhiZ36viFCCCHKnpaWgpbO5rR0NuduWhZ7g66z7XQMl2+lsifoOnuCruNkYUi/Zrb0bFoT8yr65R1yiVyKv8/OM7H8EnydO6lZqvHGtlXp7V6Tbo2tX9qd+UIIIYR4dZR4x3qVKlXo06cPPj4+ahtUFicnJ4fTp0/j7++Pn58fR44cQUtLS+1O5xeBlZUV8+fPZ9CgQaWaP3v2bDZu3Mjs2bMZOXIk58+fx8nJie3bt7N48WJOnjyp0Trp6elERkYCUKtWrTJtBDp37lx++ukn1q1bx+uvv87+/fu5du0aEyZMYPr06YwdO1bjtTIzMzV+c0FLS0vjBxmvwq532bEuhLh5L4MJ24P5Jyq/r8TbbtbM6dEQo0qSsBBCiIpEqVQSFJvM9lOx/BZ6g/Ss/J9ldbUVvO5Snb7N7GjjbP7CvoV0Lz2bX0NvsOtMLCFx91Tj5lX0eKeJDb09bKlT3agcIxRCCCGEKFqZ7Vj/6aef2LBhA+3bt8fBwQEfHx8GDx6MtbV1idaJiori3LlzhISEEBoaipGREW3bti1pOOUiKytLVYKlNDZt2sTq1avp0KEDo0aNUo03btyY8PBwjdepXLkyjRo1KvH127VrV2xyWpNSMFOnTiUvL48OHTqQnp5O27Zt0dfXZ9KkSRol1XNzc/n6669LvGv/0d32V69eZerUqQwdOpQWLVoAcPLkSTZu3MjcuXPVxiCEEBXdoQvxfLo7lOT0bCrrafPl2w3p2dSmwpcOEEKIV5FCoaCpnSlN7Uz5/K36/B56k22nYgiJu8f+c/HsPxePTVUD+njY0qdZTaxM1JfhfN5y85QERNxhZ2AcBy/Ek5WT/1aqjpaC9vUs6e1hi3ddC3S1n1wGUgghhBCioipVjXWA27dvs3nzZjZs2MDFixfp1KkTPj4+dO/eHR2dJ+frBwwYgL+/Pw8ePKBt27Z4eXnh7e2Nq6trhUkETJkyhSpVqjB9+vRSzTcwMCA8PBx7e/sC9cnDwsLw9PQkNTW10JyePXuyYcMGjI2NCzVvfdyePXuKPT5hwoQCH2dnZxMcHMz58+cZMmQIS5Ys0fhesrKyiIiIIDU1FRcXF6pUqaLRvGexa79Dhw6MGDGC/v37FxjfsmULq1evxs/PT+P7qKhkx7oQr6bM7Fy+3n+RTSevAdDQxpil/ZrgZKHZ38FCCCEqjrAbKWw/HcPeoOukZOaXgdRSgFcdC/p52tG+nmWZJ66vJaaxKzCO3YFx3Lj3/28c161uRG+PmvRoYlPhytcIIYQQ4tVVZjvWH7KwsGDixIlMnDiRZcuWMXnyZPbv34+5uTmjRo1i6tSpRZYm2bZtG+bm5owYMYL27dvTunXrMi1h8ixkZmayevVq/v77b1xdXdHVLfi6/cKFC4ud7+LiwrFjx7C3ty8wvmvXLpo0aVLkHBMTE9WDB2Nj46d6CLFo0aIix2fOnFlkUr84enp6GBkZYWRkpHFSHZ7Nrv2TJ0+ycuXKQuMeHh6MGDFC41iEEKIiuXLrPmO3BhEefx+AkW0cmdypHno6shtQCCFeRi7Wxsx6uyHT3qzPn+dvsvVULKeik/C9dBvfS7exMNLnXfea9PWwxcHc8LnFkfYgh/3nbrIzMI5T0UmqceNKOrztZkNvj5o0sjGpMJulhBBCCCGeVqkT67du3WLjxo1s2LCBa9eu8e677zJ8+HDi4uL45ptv+Oeffzh06FCheYmJiRw7dgw/Pz+mTZvGxYsXcXNzw9vbG29vb954440Sx5Kbm8u5c+ewt7fH1FR9ozZfX1/atWtX4us8FBoaipubGwDnz58vcEyTHyRnzJjBkCFDuH79Onl5eezZs4dLly6xadMmfv/99yLnPNqwdcOGDaWOvTjvvfcenp6eLFiwQO25OTk5zJo1i6VLl6qS8VWqVGHs2LF88cUXhR42PO769es4OzsXGs/LyyM7O1ujeG1tbVmzZg3z588vML527VpsbW01WkMIISoKpVLJ1lOxzP79ApnZeZhX0eO7Pm541bEo79CEEEKUgUq62rzTpCbvNKlJ1O1Utp+OZVdgHLfvP2CFXyQr/CJp4VSNfp62dGpQg0q62k99TaVSyZlrd9l5JpY/Qm+S9l/dd4UCWjub09vDljdcqj+TawkhhBBCVDQlLgWzZ88e1q9fz8GDB3FxcWHEiBG89957VK1aVXVOZGQk9evXJysr68kL/SciIoI5c+bw888/k5eXp1HDyfHjx9OoUSOGDx9Obm4uXl5enDhxgsqVK/P777/j7e1d7Hx9fX1q1qzJsGHDGDJkSLkkYY8dO8bs2bMJCQkhNTWVpk2bMmPGDI0eLLRv3549e/YU+JxD/msLPXr00KhGelE2b97MlClTuHHjhtpzR48ezZ49e5g9e3aB+uYzZ86kR48erFixotj57u7uTJgwgffee69AOZzZs2fz119/cezYMbUx7N+/n169euHs7Ezz5s0BOHXqFFeuXGH37t28+eabGtx1xSalYIR4NSSnZzF19zkOXIgHoG0dC77r3RgLI3nNXgghXmVZOXkcvniLbadjOXrlNg9/szMx0OWdJjb097Sjbo2SNwy9eS+DPWevsyswjug7aapx+2qV6e1ek55Na2JdtfxrvAshhBBCPAulza+VOLFuYmJCv379GDFiBM2aNSvynIyMDObPn88XX3xR6FhiYiL+/v74+fnh5+dHWFgYVatWVdVb//jjj9XGULNmTX755Rc8PDz45ZdfGDNmDL6+vmzevJkjR44QEBBQ7Pw7d+6wefNmNm7cyIULF2jfvj3Dhw+nR48e6OnpafaJKEdaWlrEx8djaWlZYDwhIQEbGxu1O74fr9GuVCq5efMmZ86cYfr06UV+3R5nYmLCtm3b6NKlS4Hx/fv3079/f+7du1fs/H379jFkyBCmTZvG7NmzmTVrVoFd+6+//rraGADi4uJYsWIFFy9eBKB+/fqMGjXqldmxLol1IV5+p6KTGL8tiBv3MtHVVvBpp3oMb+2Ilpa8ai+EEOL/xd1NZ+eZOHaeiS1Q99zNtir9PW15y9UaQ/0nv7CcmZ3L3xdvseNMHMev3Cbvv98SK+tp82YjK/p42NLMwVRKvQghhBDipVNmifX09PSnqomura2Nubk5bdq0UTUubdSoUYnWqFSpEhEREdSsWZP333+fypUrs3jxYqKjo2ncuDEpKSkar3X27FnWr1/P1q1bgfzmqsOHD6dx48YFznuWzUNnzJhBu3btaNGiBZUqVdI41tDQUADc3Nw4cuQIZmZmqmO5ubkcOHCAVatWcfXq1WLXGTp0aIEfiLW0tLCwsKB9+/Yal+KxtLTE39+f+vXrFxi/ePEibdu25fbt22rXKM2u/dDQUBo2bIiWlma1hC9cuEDdunWLbahbkUliXYiXV05uHt/7RrD08BXylOBQrTLL+jelUU2T8g5NCCHECyw3T8nRK7fZfiqWvy/eIue/DLmhnjbd3azp28yOxjXza6ErlUrOX09hZ2As+4JvcC/j/zfoeDqY8a5HTbo2sio2IS+EEEIIUdGVWWL9UZmZmYXKvai7+IULF2jQoEFpLwmAvb09a9asoUOHDjg6OrJixQq6du3KhQsXaN26NXfv3i3Rejdu3GD16tXMmzcPHR0dMjMzadGiBStXrlTFOmzYMJYuXYqRkVGhxPTjHq2HXpTXX3+dkydPkpOTQ7NmzVQPGFq1aoWBwZNfqdTS0lJdt6gvm4GBAcuWLcPHx0eT234qs2fPJjw8nPXr16Ovn1+K4MGDBwwfPpzatWtrtOu9NLS1tYmPj8fCQrOawsbGxgQHB+Pk5PRc4ilvklgX4uV0PTmDCduCOXU1vzlcr6Y1mfV2A6pIYkMIIUQJJNzPZM/Z62w/HVugpEu9GkZ417XE71KCqhk2QA3jSrzrXpN33Ws+10aoQgghhBAvkjJLrKelpTFlyhR27NhBYmJioeOa1Eh/WjNnzmTx4sVYWVmRnp7O5cuX0dfXZ926daxZs4aTJ0+qXSM7O5t9+/axbt06/vrrLzw8PBg+fDj9+/fn9u3bfP7555w9e5awsLDncg85OTn8+++/HD16FH9/f06cOMGDBw9o1qwZx48fL3LOtWvXUCqVODk5cerUqQLJZT09PSwtLdHWVt84yMnJidOnT1OtWrUC48nJyTRt2pSoqCi1a7zzzjscPnwYfX191e7+kJAQsrKy6NChQ4Fzi9vBf+bMGVUZFxcXF9zd3Yu9rpaWluotBU388MMPhIWFSWJdCFFh/HnuJlN2h5KSmUMVfR3m9GhIjyY25R2WEEKICkypVPJvdBLbTsWw/3w8WTl5qmN6Olq84VKd3h62tHY2R1tKjQkhhBDiFVPa/FqJt759+umn+Pr6smLFCgYNGsTy5cu5fv06q1atYt68eSVdrlRmzpxJw4YNiY2NpXfv3qod09ra2kydOlXt/LFjx7J161aUSiWDBg1i/vz5NGzYUHXc0NCQBQsWYG1tXeT8Z9E8VEdHh1atWmFhYYGZmRlGRkb88ssvhIeHP3GOvb09AHl5eU88RxNXr14t8gHIgwcPuH79ukZrVK1alV69ehUYK0ld87i4OPr3709AQIDq85icnEzLli3Ztm0bNWvWLHJe27ZtuXTpksbXadGiRbFvAQghxIsiIyuXL/8IY8u/MQA0tq3K0n5u2FeTHYNCCCGejkKh4DWnarzmVI1Z6dnsDYrjzLW7NHc0o3tjG0wq65Z3iEIIIYQQFU6Jd6zb2dmxadMmvL29MTY25uzZszg7O7N582a2bt3K/v37n1esxUpOTi6U6H6SDh06MGLECHr27KlKyj8uJyeHgIAAvLy8Ch172uahq1evxs/PD39/fx48eECbNm3w9vbG29sbV1fXIsvM/Prrr3Tp0gVdXV1+/fXXYtfv3r17keMP5/Xo0YONGzdiYvL/dXpzc3M5fPgwf/31V4kS16XVuXNnkpOT2bhxI3Xr1gXg0qVLDBs2DGNjYw4cOPDcY3gZyI51IV4O4fEpjN0SxJWEVBQKGOVVi4mv10FXW7N+EkIIIYQQQgghhCidMisFU6VKFcLCwrCzs6NmzZrs2bMHT09PoqOjadSoEampqSUOvqS++eYbHBwc6Nu3LwB9+vRh9+7dWFlZsX//flxdXZ84Nzs7mw8++IDp06fj6OhYous+q+ahD5uFfvLJJ3z44YdUqVJF7bUfTeYX17hToVA8sRzPw3kPGxU9SldXFwcHB7777jveeusttfFkZGSgVCpVJVmuXbvG3r17cXFx0agBqoGBASdOnKBJkyYFxgMDA2nTpg3p6elq1xCSWBeiolMqlWz+5xpz/rhIVk4eFkb6LOrjRuva5uUdmhBCCCGEEEII8Uoos1IwTk5OREdHY2dnR7169dixYweenp789ttvGu8Yf1orV67k559/BuCvv/7ir7/+4s8//2THjh1MmjSJQ4cOPXGurq4uu3fvZvr06SW+rpubGwqFAoVCQfv27Qsdf9g8VJ09e/Zw9OhRtm3bxhdffEGTJk1UO9Zbt25dZP3wR8u/lLYUzMN5jo6OnD59GnPz0idu3n77bXr27MmoUaNITk7G09MTPT097ty5w8KFCxk9enSx821tbYvc2Z+bm/vEEjxCCPEyuZuWxeRdofx98RYA7epasKB3Y6pVKfpNKiGEEEIIIYQQQrw4SrxjfdGiRWhrazNu3Dj+/vtvunXrhlKpJDs7m4ULF/Lxxx+rXSMmJgZdXV2srKwKjdvY2KhtwGlgYMDly5extbXl448/JjMzk1WrVnH58mWaN2/O3bt3i50/ZMgQ3NzcmDBhgvobfsSzah76qHv37nHs2DF27tzJ1q1b0dLSIjMzs0RrlAdzc3P8/f1p0KABa9euZdmyZQQFBbF7925mzJihakj6JPv27ePrr79m+fLleHh4APmNTMeOHcuUKVPo0aNHGdxFxSc71oWomE5GJjJhezDxKZnoaWsxtUs9hrVyKLIUmBBCCCGEEEIIIZ6fMtux/mgyumPHjoSHhxMYGIizs3OxJVge5eDgQL169QgLCys0Xrt2bebOnUvPnj2fON/U1JTY2FhsbW05cOAAc+bMAfJfqX9SGZRH1a5dm9mzZxMQEIC7uzuGhgUbw40bN67Iec+qeShAYmIi/v7++Pn54efnx4ULFzA1NaVNmzZFnr906VKN135S/I9KS0vD39+fmJgYsrKySjw/PT0dIyMjAA4dOkTPnj3R0tLitdde49q1a2rnDx06lPT0dJo3b46OTv63YU5ODjo6Ovj4+ODj46M6NykpSe16QghREeTk5rHk8BW+941AqQQnC0OW9W9CA2sT9ZOFEEIIIYQQQgjxwijxjvVnwd/fn8qVK9OsWbNC41FRURw4cIDt27c/cf5HH33E77//Tu3atQkKCuLq1atUqVKFbdu2MX/+fM6ePVvs9Yurra5QKIiKitLoPsLCwopMTD+peehDjRo14uLFi5iamtK2bVu8vb3x8vIq9sHE4zHfvn2b9PR0Vfmd5ORkKleujKWlpdr4g4KCePPNN0lPTyctLQ0zMzPu3Lmj8XwAV1dXRowYwTvvvEPDhg05cOAALVq0IDAwkK5duxIfH1/s/I0bN6q9xkNDhgzR+NxXjexYF6LiiE1K5+NtQZyNSQagr4ctX3R3obJeiZ9xCyGEEEIIIYQQ4hl5rs1Ln/Vu6aeVnZ3NkiVLiI2NZejQoaoGmIsWLcLIyIgRI0Y81+tHRUXxzjvvcO7cuQKNQB++wq9u1/zy5cvx8vKiYcOGpbr+li1b+OGHH/jxxx+pW7cuAJcuXWLkyJF88MEHDBw4sNj53t7e1KlTh5UrV2JiYkJISAi6urq89957fPzxx8W+LfDQrl27GDBgALm5ubRv356//voLgLlz53L06FH+/PPPUt2bKBlJrAtRMfweeoNpe85xPzMHI30dvu7ZiG6NpZ+EEEIIIYQQQghR3p5rYr24Hd4FFivBbu+KrFu3bmhra7N27VocHR05deoUiYmJfPLJJyxYsOCJ5Vwemj17NpMmTSrUpDQjI4Nvv/2WGTNmFDu/Vq1a7Nq1S/VA4aHAwEDeffddoqOji51ftWpV/v33X+rWrUvVqlU5efIk9evX599//2XIkCGEh4cXO/+h+Ph4bt68SePGjdHS0gLg1KlTGBsbU69ePbXzc3Nz2bt3r6oeu4uLC2+//baqNIxQTxLrQrzY0rNymPVrGNvPxALQ1K4qS/o1wdascJNqIYQQQgghhBBClL3nmlh/lhITE5kxYwa+vr4kJCQUqleuaT3tzZs3s2rVKqKiojh58iT29vYsXrwYR0dH3n77bbXz4+Li+PXXX4ss5bJw4cJi55qbm3PkyBFcXV0xMTHh1KlT1K1blyNHjvDJJ58QFBRU7HxtbW1u3ryJpaVlgfHExEQsLS3V7nivXLky/v7+hUrpnDp1Cm9vb9LT04udb2FhwYkTJ6hduzZ16tRh2bJldOrUifDwcNzd3UlLSyt2/qMiIiKIjIykbdu2GBgYoFQqNWq+d+HCBbp37058fLxq1/3ly5exsLDgt99+K/Vu/leNJNaFeHFduHGPsVuDiLqdhkIBH7Vz5uMOtdHR1irv0IQQQgghhBBCCPGfMmte+rQGDRpEREQEw4cPp3r16holYR+3YsUKZsyYwfjx4/nqq69UieiqVauyePFitYn1w4cP0717d5ycnAgPD6dhw4ZcvXoVpVJJ06ZN1V4/NzdX1bjT3NycGzduULduXezt7bl06ZLa+U9KPoeEhGBmZqZ2focOHfjggw9Yu3atKt7AwEBGjx5Nx44d1c5v0qQJp0+fpnbt2nh5eTFjxgzu3LnD5s2bNU5oJyYm0qdPH3x9fVEoFFy5cgUnJyeGDx+Oqakp3333XbHzR4wYQYMGDThz5gympqYA3L17l6FDh/L+++9z4sQJjeIQQogXjVKpZH3AVeb9GU5Wbh7VjfVZ1NeNlrXMyzs0IYQQQgghhBBCPCNlnlg/duwYx48fp3HjxqVeY9myZaxZs4YePXowb9481biHhweTJk1SO3/atGlMmjSJWbNmYWRkxO7du7G0tGTgwIF07txZ7fyGDRsSEhKCo6MjzZs3Z/78+ejp6bF69WqcnJyeOM/U1BSFQoFCoaBOnToFkuu5ubmkpqYyatQotddft24dQ4YMwcPDA11dXQBycnLo1KkTa9euVTv/66+/5v79+wB89dVXDB48mNGjR1O7dm3WrVundj7AhAkT0NXVJSYmhvr166vG+/bty8SJE9Um1oODgwsk1SH/8/PVV18V2okvhBAVRWLqAybvCuVIeAIAHetXZ/67rpgZ6pVzZEIIIYQQQgghhHiWyjyxXq9ePTIyMp5qjejo6EL1xQH09fU1KmNy8eJFtm7dCoCOjg4ZGRlUqVKF2bNn8/bbbzN69Ohi53/++eeq68yePZu33nqLNm3aUK1aNbZv3/7EeYsXL0apVOLj48OsWbMwMTFRHdPT08PBwYEWLVqojd/CwoL9+/dz+fJlVT30evXqUadOHbVzIf8BxEOWlpYcOHBAo3mPOnToEAcPHqRmzZoFxmvXrs21a9fUzq9Tpw63bt2iQYMGBcYTEhJwdnYucTxCCFHeAiLuMGF7MAn3H6Cno8X0rvV57zX7Ur2ZJYQQQgghhBBCiBdbmSfWf/jhB6ZOncqMGTNo2LChasf1Q5rUsXF0dCQ4OBh7e/sC4wcOHCiwe/pJDA0NVXXVraysiIyMVCV479y5o3Z+p06dVH92dnYmPDycpKQk1Y70JxkyZIgq/latWj11k846deponEx/VEZGBkqlUtU89dq1a+zduxcXFxfeeOMNjdZIS0sr1HwV8mvk6+vrq50/d+5cxo0bx8yZM3nttdcA+Oeff5g9ezbffPMNKSkpqnOldrgQ4kWWnZvHd4cus+poJEol1LaswrIBTahXQ/7uEkIIIYQQQgghXlZlnlivWrUqKSkptG/fvsD4w7rj6hp3AkycOJExY8aQmZmJUqnk1KlTbN26lblz52pUCuW1117j+PHj1K9fnzfffJNPPvmEc+fOsWfPHlWStzj37t0jNze3QD10MzMzkpKS0NHRUZsI9vLyIjIykvXr1xMZGcmSJUuwtLTkzz//xM7OrtAu7sfl5uayYcMGDh8+XGQD2CNHjhQ7/+2336Znz56MGjWK5ORkPD090dPT486dOyxcuFDtjn2ANm3asGnTJr788ksAFAoFeXl5zJ8/n3bt2qmd/9ZbbwHQp08f1cOIh310u3XrpvpY0+8JIYQoDzGJ6YzdFkRIbDIAA5rbMb2rCwZ62uUbmBBCCCGEEEIIIZ6rUiXW7969y48//sjFixcBqF+/Pj4+Pho13hw4cCC6urps2bKl1M1LR4wYgYGBAZ9//jnp6ekMGDAAa2trlixZQr9+/dTOX7hwIampqQDMmjWL1NRUtm/fTu3atVm4cKHa+f369aNbt258+OGHBcZ37NjBr7/+yv79+4ud7+/vT5cuXWjVqhVHjx7lq6++wtLSkpCQEH788Ud27dpV7PyPP/6YDRs20LVrVxo2bFjiz+HZs2dZtGgRALt27aJGjRoEBQWxe/duZsyYoVFiff78+XTo0IEzZ86QlZXFp59+yoULF0hKSiIgIEDtfF9f3xLFLIQQL5p9wdf5397zpD7IwbiSDvPfdaVzQ6vyDksIIYQQQgghhBBlQKF8uE1YQ0ePHqV79+4YGxuranUHBgaSnJzMb7/9Rtu2bYudX7lyZYKCgqhbt27po35Eeno6qampWFpaPpP1NGFmZkZAQEChsjPh4eG0atWKxMTEYue3aNGC3r17M3HiRIyMjAgJCcHJyYlTp07Rs2dP4uLiip1vbm7Opk2bePPNN0sVf+XKlQkPD8fOzo4+ffrQoEEDvvjiC2JjY6lbty7p6ekarXPv3j2+//57QkJCSE1NpWnTpowZMwYrq6dLLJ0/f56GDRs+1RqvipSUFExMTLh3756UzBGijKQ+yOGLfRfYfTb/7+pmDqYs7tcEm6oG5RyZEEIIIYQQQgghSqq0+bUS71gfM2YMffr0YcWKFWhr57/qnpuby4cffsiYMWM4d+5csfM9PDxUCdxnoXLlykXW+i7OiBEjeO+99/D29i7VNR88eEBOTk6h8ezsbI0as547d44tW7YUGre0tNSoxruent5TNfh0dnbml19+4Z133uHgwYNMmDAByG8cqsk3T3Z2Np07d2blypX873//K3Ucj7p//z5bt25l7dq1BAYGSvkXIcQL6VzcPcZuPcvVxHS0FDCuQ20+aueMjrZWeYcmhBBCCCGEEEKIMlTiTEBERASffPKJKqkOoK2tzcSJE4mIiFA7f+zYsapSJoGBgYSGhhb4TxO3bt1i0KBBWFtbo6Ojg7a2doH/1Ll9+zadO3fG1taWyZMnExISotF1H/L09GT16tWFxleuXIm7u7va+VWrVuXmzZuFxoOCgrCxsVE7/5NPPmHJkiWU8GUDlRkzZjBp0iQcHBxo3rw5LVq0AODQoUM0adJE7XxdXV2Nv1bqHD16lCFDhmBlZcWCBQto3749//zzzzNZWwghnpW8PCVrjkbRc0UAVxPTsTapxLb3WzC+Yx1JqgshhBBCCCGEEK+gEu9Yb9q0KRcvXiy04/zixYs0btxY7fy+ffsC4OPjoxpTKBQlalQ5dOhQYmJimD59OlZWViWuMb5v3z7u3r3Lzp072bJlCwsXLqRevXoMHDiQAQMG4ODgUOz8OXPm0LFjR0JCQujQoQMAhw8f5vTp0xw6dEjt9fv168eUKVPYuXOnqulnQEAAkyZNYvDgwWrnHz9+HF9fX/78808aNGiArq5ugeN79uwpdv67775L69atuXnzZoGvWYcOHXjnnXfUXh/gvffe48cff2TevHkanf+o+Ph4NmzYwI8//khKSgp9+vThwYMH/PLLL7i4uJR4PSGEeJ5u33/AJztDOHr5NgBdGtZgXk9XTCrrqpkphBBCCCGEEEKIl1WJa6xv376dTz/9lLFjx/Laa68B8M8//7B8+XLmzZtXoO64q6trofnXrl0rdn17e3u1MRgZGXHs2DHc3NxKEvoTxcXFsXXrVtatW8eVK1eKLPPyuODgYL799luCg4MxMDDA1dWVadOmUbt2bbVzs7KyGDNmDBs2bCA3NxcdHR1yc3MZMGAAGzZsULvrftiwYcUeX79+vdoYntbYsWPZtGkTtWvXxt3dHUNDwwLHn9QEtlu3bhw9epSuXbsycOBAOnfujLa2Nrq6uoSEhEhivYSkxroQz5f/5dt8siOYO6lZ6Oto8UW3BvT3tC1V420hhBBCCCGEEEK8eEqbXytxYl1Lq/hX3ku6+7w0XFxc+PnnnzUqW6JOdnY2f/zxBz/99BN//PEHZmZmXL9+/RlEqV5MTAznz58nNTWVJk2aaJSUf1G0a9fuiccUCgVHjhwp8piOjg7jxo1j9OjRBe63vBPry5cv59tvvyU+Pp7GjRuzbNkyPD09izz3woULzJgxg8DAQK5du8aiRYsYP358gXPu37/P9OnT2bt3LwkJCTRp0oQlS5bQrFkz1TlKpZIvvviCNWvWkJycTKtWrVixYkWJvg8ksS7E85GVk8eCQ5dYfTQKgHo1jFjavwl1qhuVc2RCCCGEEEIIIYR4lsqseWl0dHRJpxQwd+5cqlevXqAUDMC6deu4ffs2U6ZMUbvG4sWLmTp1KqtWrVJbtuVJfH192bJlC7t37yYvL4+ePXvy+++/0759+yLPT0lJUX1iU1JSil1b0y+AnZ0dtra2AKXa/Xj79m0uXboEQN26dbGwsCjxGqXl6+tbqnnHjx/nxx9/xN3dnfr16zNo0CD69ev3jKMrme3btzNx4kRWrlxJ8+bNWbx4MZ06deLSpUtYWloWOj89PR0nJyd69+6tavz6uBEjRnD+/Hk2b96MtbU1P/30Ex07diQsLExVR3/+/PksXbqUjRs34ujoyPTp0+nUqRNhYWFUqlTpud6zEOLJou+kMW5rEOeu3wNgcAt7PnuzPpV01ffwEEIIIYQQQgghxKuhxDvWn5aDgwNbtmyhZcuWBcb//fdf+vXrp1Hi3tTUlPT0dHJycqhcuXKhGuNJSUnFzrexsSEpKYnOnTszcOBAunXrhr6+frFztLW1uXnzJpaWlmhpaRWZCC/JTv0ff/yRRYsWceXKFQBq167N+PHjGTFihNq5aWlpqlIseXl5qvgGDx7MsmXLqFy5sto1yltaWhrbt29n3bp1nDp1itzcXBYuXIiPjw9GRmW7I7R58+Y0a9aM77//HoC8vDxsbW0ZO3YsU6dOLXaug4MD48ePL7BjPSMjAyMjI/bt20fXrl1V4+7u7nTp0oU5c+agVCqxtrbmk08+YdKkSQDcu3eP6tWrs2HDBo0fNsiOdSGeHaVSyZ6z15m+7zzpWblUrazL/F6uvNGgRnmHJoQQQgghhBBCiOekzHasA0RGRrJ48WIuXrwI5Jdm+fjjj6lVq5baufHx8VhZWRUat7Cw4ObNmxpdf9GiRU9V33bmzJn07t2bqlWrajznyJEjmJmZAaXfrf3QjBkzWLhwIWPHjqVFixYAnDx5kgkTJhATE8Ps2bOLnT9x4kT8/f357bffaNWqFZC/E3zcuHF88sknrFix4qniKwuGhob4+Pjg4+PDpUuXVI1Qp06dyuuvv86vv/5aJnFkZWURGBjItGnTVGNaWlp07NiRkydPlmrNnJwccnNzC+06NzAw4Pjx40D+mx/x8fF07NhRddzExITmzZtz8uTJJybWHzx4wIMHD1Qfq3t7QgihmfuZ2Uz/5Ty/BN8A4DUnMxb1dcPKxKCcIxNCCCGEEEIIIcSLqMSJ9YMHD9K9e3fc3NxUSd2AgAAaNGjAb7/9xuuvv17sfFtbWwICAnB0dCwwHhAQgLW1tUYxDB06tKRhFzBy5MgSz/Hy8iryz6WxYsUK1qxZQ//+/VVj3bt3x9XVlbFjx6pNrO/evZtdu3bh7e2tGnvzzTcxMDCgT58+FSKx/qi6desyf/585s6dy2+//ca6devK7Np37twhNzeX6tWrFxivXr064eHhpVrTyMiIFi1a8OWXX1K/fn2qV6/O1q1bOXnyJM7OzkD+A6aH13n8ug+PFWXu3LnMmjWrVHEJIYoWHJvMuK1BxCSlo62lYELH2oz2dkZbSxqUCiGEEEIIIYQQomglTqxPnTqVCRMmMG/evELjU6ZMUZtYHzlyJOPHjyc7O1tVz/zw4cN8+umnfPLJJxrF8GhZlkclJiZiaWn5XJqmhoaGanyuq6trscezs7Px8PAoNO7u7k5OTo7a9dPT0wslZAEsLS1JT0/XOM4Xjba2Nj169KBHjx7lHcpT27x5Mz4+PtjY2KCtrU3Tpk3p378/gYGBT7XutGnTmDhxourjlJQUVZ1+IUTJ5OUpWXU0iu8OXSInT4lNVQOW9m+Cu71peYcmhBBCCCGEEEKIF1yJE+sXL15kx44dhcZ9fHxYvHix2vmTJ08mMTGRDz/8kKysLAAqVarElClTCpTjKM6TysI/ePAAPT09jdYoKTc3NxQKhaqOenHUJfYHDRrEihUrWLhwYYHx1atXM3DgQLWxtGjRgi+++IJNmzapyo1kZGQwa9YsVWkZoRlzc3O0tbW5detWgfFbt25Ro0bp6yrXqlULf39/0tLSSElJwcrKir59++Lk5ASgWvvWrVsFSiPdunULNze3J66rr6+vth+AEEK9hJRMJu4I4XjEHQC6ulrx9TuNMDHQVTNTCCGEEEIIIYQQohSJdQsLC4KDg6ldu3aB8eDg4EI7yIuiUCj45ptvmD59OhcvXsTAwIDatWtrlCxcunSpao21a9dSpUoV1bHc3FyOHj1KvXr1SnhHmnm0qWpQUBCTJk1i8uTJBWqkf/fdd8yfP7/I+Y/uMn4Y/6FDh3jttdeA/OatMTExDB48WG0sS5YsoVOnTtSsWZPGjRsDEBISQqVKlTh48GCp7/FVpKenh7u7O4cPH1btlM/Ly+Pw4cN89NFHT72+oaEhhoaG3L17l4MHD6q+PxwdHalRowaHDx9WJdJTUlL4999/GT169FNfVwhRtNQHOWw/Hcty3wiS0rIw0NVmVvcG9Pao+VS9O4QQQgghhBBCCPFq0TixPnv2bCZNmsTIkSN5//33iYqKomXLlkB+ffRvvvmmQPJYnSpVqtCsWbMSBbto0SIgf8f6ypUr0dbWVh3T09PDwcGBlStXlmhNTdnb26v+3Lt3b5YuXcqbb76pGnN1dcXW1pbp06cXWcokKCiowMfu7u5AfiNYyN85bW5uzoULF9TG0rBhQ65cucLPP/+sqgPev39/Bg4ciIGBNNorqYkTJzJkyBA8PDzw9PRk8eLFpKWlMWzYMAAGDx6MjY0Nc+fOBfIbnoaFhan+fP36dYKDg6lSpYqqhvrBgwdRKpXUrVuXiIgIJk+eTL169VRrKhQKxo8fz5w5c6hduzaOjo5Mnz4da2vrl6IUjhAvmuvJGWw8cZWt/8Zw/0F+yS0XK2OW9m+Cs2UVNbOFEEIIIYQQQgghClIon1RX5TEP65pbWFiwePFivvvuO27cuAGAtbU1kydPZty4cWWy469du3bs2bMHU9PyqYNrYGDA2bNnqV+/foHxixcv0rRpUzIyMsolLlF633//Pd9++y3x8fG4ubmxdOlSmjdvDoC3tzcODg5s2LABgKtXrxZqvgv5TW39/PwA2LFjB9OmTSMuLg4zMzN69erFV199hYmJiep8pVLJF198werVq0lOTqZ169b88MMP1KlTR+O4U1JSMDEx4d69exgbG5f+EyDESyo0Lpm1x6L549xNcvPy/7mrZWHI8NZO9HK3QV9HW80KQgghhBBCCCGEeJmVNr+mcWJdS0uL+Pj4AuVe7t+/D4CRkVEJw302srKyiI6OplatWujolLiqTak1bdqUhg0bsnbtWlVN96ysLEaMGMH58+c5e/bsc73+3LlzqV69Oj4+PgXG161bx+3bt5kyZcpzvb54cUhiXYjC8vKU/H3xFmuPR3MqOkk13rJWNUa0ccS7jiVaWlL2RQghhBBCCCGEEKXPr5UoG/34bvTySqhnZGTw0UcfsXHjRgAuX76Mk5MTY8eOxcbGhqlTpz7X669cuZJu3bpRs2ZNXF1dAQgNDUWhUPDbb78912sDrFq1ii1bthQab9CgAf369ZPEuhDilZSRlcuuwFjWBVwl+k4aADpaCro3tsantSMNbUzUrCCEEEIIIYQQQgihmRIl1uvUqaO21EtSUlKxx5+FqVOnEhISgp+fH507d1aNd+zYkZkzZz73xLqnpydRUVEFapz37duXAQMGYGho+FyvDRAfH4+VlVWhcQsLC27evPncry+EEC+ShJRMNp28xk//XiM5PRsA40o6DHzNniEtHKhhUqmcIxRCCCGEEEIIIcTLpkSJ9VmzZhWoEV1efvnlF7Zv385rr71WINHfoEEDVTPQ583Q0JD333+/TK71OFtbWwICAgrV+Q4ICMDa2rpcYhJCiLJ28WYKa49F82vIdbJz86ua2ZlVZnhrR951r4mhftmVCBNCCCGEEEIIIcSrpURZh379+hWosV5ebt++XWQcaWlpZdI8FeDKlSv4+vqSkJBAXl5egWMzZsx4rtceOXIk48ePJzs7m/bt2wNw+PBhPv30Uz755JPnem0hhChPSqUS/8u3WXssmuMRd1TjHvamjGjjxOsu1dGW+ulCCCGEEEIIIYR4zjROrJdVwloTHh4e/PHHH4wdOxb4/9jWrl1LixYtnvv116xZw+jRozE3N6dGjRoFPjcKheK5J9YnT55MYmIiH374IVlZWQBUqlSJKVOmMG3atOd6bSGEKA+Z2bnsC77O2mPRXElIBUBLAV0aWTGitSNN7EzLOUIhhBBCCCGEEEK8ShRKpVKpyYlaWlrEx8e/EDvWjx8/TpcuXXjvvffYsGEDH3zwAWFhYZw4cQJ/f3/c3d2f6/Xt7e358MMPy71JaGpqKhcvXsTAwIDatWujr69frvGIslfarsVCVBSJqQ/46Z8YNv9zlTup+Q8Sq+jr0LeZLUNbOmBrVrmcIxRCCCGEEEIIIURFVtr8msaJ9RdNZGQk8+bNIyQkhNTUVJo2bcqUKVNo1KjRc7+2sbExwcHBODk5PfdrCVEcSayLl1VEQio/Ho9mz9k4HuTkl9uyNqnEsFaO9PW0xbiSbjlHKIQQQgghhBBCiJfBK5dYL0/Dhw+nWbNmjBo1qrxDEa84SayLl4lSqeRkVCJrj0VzJDxBNe5a04QRbZzo0rAGutpa5RihEEIIIYQQQgghXjalza+VqHnpi2Lw4MG0a9cOLy+vctk17uzszPTp0/nnn39o1KgRuroFd06OGzeuzGMSQoiKKisnjz/O3WDtsWgu3EgBQKGAjvWrM7KNE80cTF+oPh9CCCGEEEIIIYQQFXLH+ogRIzh69CgRERHY2Njg5eWFt7c3Xl5e1K5d+7lf39HR8YnHFAoFUVFRzz0GIUB2rIuK7V56NltOxbDxxFXiUzIBqKSrRW93W3xaO+JobljOEQohhBBCCCGEEOJl90qWgrl+/TpHjx7F398ff39/Ll++jJWVFXFxceUdmhBlQhLroiK6lpjG+oCr7DgTS3pWLgAWRvoMbenAAE87TA31yjlCIYQQQgghhBBCvCpeqVIwD5mamlKtWjVMTU2pWrUqOjo6WFhYlHdYQgghHqNUKgm8dpe1x6I5GBbPw0e69WoYMaKNE90aW6Gvo12+QQohhBBCCCGEEEJoqEIm1j/77DP8/PwICgqifv36eHl5MXXqVNq2bYupqelzuebEiRP58ssvMTQ0ZOLEicWeu3DhwucSgxBCVDQ5uXkcvHCLNceiCI5NVo171bFgZBsnWjlXk/rpQgghhBBCCCGEqHAqZGJ93rx5WFhY8MUXX9CzZ0/q1Knz3K8ZFBREdna26s9PIgkiIYSA+5nZ7DgTx/qAaOLuZgCgp6PFO242DG/jSJ3qRuUcoRBCCCGEEEIIIUTpVcga6yEhIfj7++Pn58exY8fQ09NTNTD19vYuk0S7EC8CqbEuXjTXkzPYEBDNtlOx3H+QA4CZoR7vvWbPoNfssTDSL+cIhRBCCCGEEEIIIf7fK9m89KGQkBAWLVrEzz//TF5eHrm5ueUdkhBlQhLr4kURGpfM2mPR/HHuJrl5+f+sOFkYMqK1Ez2b2lBJV+qnCyGEEEIIIYQQ4sXzSjUvVSqVBAUF4efnh5+fH8ePHyclJQVXV1e8vLzKOzwhhHgl5OUp+fviLdYej+ZUdJJqvIVTNUa2dcS7jiVaWlIeSwghhBBCCCGEEC+fCplYNzMzIzU1lcaNG+Pl5cXIkSNp06YNVatWLe/QhBDipZeelcPuwDjWBVwl+k4aADpaCro1tmZ4a0ca2piUc4RCCCGEEEIIIYQQz1eFTKz/9NNPtGnTRkpfCCFEGUpIyWTjyav8/G8Myen5zZyNK+kwoLk9Q1s6UMOkUjlHKIQQQgghhBBCCFE2KmRivWvXruUdghBCvDIu3kxh7bFofg25TnZufv10O7PK+LRyoLeHLYb6FfKfEiGEEEIIIYQQQohSk2yIEEKIQpRKJf6Xb7P2WDTHI+6oxj3sTRnRxpHXXWqgLfXThRBCCCGEEEII8YqSxLoQQgiVzOxc9gVfZ+2xaK4kpAKgpYAujawY0dqRJnam5RyhEEIIIYQQQgghRPmTxLoQQggSUx/w0z8xbP7nKndSswAw1NOmbzM7hrVywNascjlHKIQQQgghhBBCCPHikMS6EEK8wiISUvnxeDR7zsbxICcPACuTSgxr5UA/TzuMK+mWc4RCCCGEEEIIIYQQLx5JrAshxCtGqVRyMiqRtceiORKeoBpvZGPCiDaOvNnICl1trXKMUAghhBBCCCGEEOLFJol1IYR4RWTl5PHHuRusPRbNhRspACgU0LF+dUa0dsTT0QyFQhqSCiGEEEIIIYQQQqgjiXUhhHjJ3UvPZsupGDaciOZWygMAKulq0dvdlmGtHHCyqFLOEQohhBBCCCGEEEJULJJYF0KIl9S1xDTWB1xlx5lY0rNyAbAw0mdoSwcGeNphaqhXzhEKIYQQQgghhBBCVEySWBdCiJeIUqkk8Npd1h6L5mBYPEpl/ni9GkYMb+1Idzdr9HW0yzdIIYQQQgghhBBCiApOEutCCPESyMrJ46+wW6w5FkVwbLJq3KuOBSPaONLa2VzqpwshhBBCCCGEEEI8I5JYF0KICir+XiZ+lxI4Ep5AQMQd0v4r96KnrcU7TWwY3saROtWNyjlKIYQQQgghhBBCiJePJNaFEKKCyM1TEhx7lyPhCfiG3ybsZkqB4xZG+vRvZsugFg5YGOmXU5RCCCGEEEIIIYQQLz9JrAshxAvsbloW/pdv43spAf/Lt0lOz1YdUyigcc2qtK9nSbu6ljSwNkZLS8q9CCGEEEIIIYQQQjxvklgXQogXiFKp5MKNFFWJl+DYZPKU/3/cuJIOXnUtaVfXAq86FlSrIjvThRBCCCGEEEIIIQhryWoAACFxSURBVMqaJNaFEKKcpT7I4fiVO/hdSsD3UgK3Uh4UOF6vhhHt6lnSvp4lTWyroqOtVU6RCiGEEEIIIYQQQgiQxLoQQpQ5pVJJ1J00fMPzE+mnopPIzv3/bekGutq0cjanfT1LvOtaYF3VoByjFUIIIYQQQgghhBCPk8S6EEKUgczsXP6JSsTv0m2OhCcQk5Re4Lh9tcq0q5u/K93T0YxKutrlFKkQQgghhBBCCCGEUEcS60II8ZxcT87ANzwBv0sJBEQkkpGdqzqmq62guWM12tXLr5fuZFGlHCMVQgghhBBCCCGEECUhiXUhhHhGcnLzCLx2F99Lt/ENT+DSrfsFjtcwrkS7eha0q2tJK2dzDPXlr2AhhBBCCCGEEEKIikiyOkII8RTupD7A/9JtjlxK4Ojl29zPzFEd01JAUzvT/3alW1LfygiFQlGO0QohhBBCCCGEEEKIZ0ES60IIUQJ5eUrO37jHkfAEfC/dJjQuGeX/9x3FtLIuXnUsaFfPkra1LTA11Cu/YIUQQgghhBBCCCHEc6FV3gEI8SJYvnw5Dg4OVKpUiebNm3Pq1KknnnvhwgV69eqFg4MDCoWCxYsXFzonNzeX6dOn4+joiIGBAbVq1eLLL79E+UgGdujQoSgUigL/de7c+XncnnhKKZnZ/BF6k0k7Q/D8+jDdvw9g8d9XCInNT6o3sDZmbHtndo9uyZnPX2dxvya87WYjSXUhhBBCCCGEEEKIl5TsWBevvO3btzNx4kRWrlxJ8+bNWbx4MZ06deLSpUtYWloWOj89PR0nJyd69+7NhAkTilzzm2++YcWKFWzcuJEGDRpw5swZhg0bhomJCePGjVOd17lzZ9avX6/6WF9f/9nfoCgxpVLJlYRUfMMTOBKeQOC1u+Tk/f9DkSr6OrR2NqddPQu861pS3bhSOUYrhBBCCCGEEEIIIcqaJNbFK2/hwoWMHDmSYcOGAbBy5Ur++OMP1q1bx9SpUwud36xZM5o1awZQ5HGAEydO8Pbbb9O1a1cAHBwc2Lp1a6Gd8Pr6+tSoUeNZ3o4opYysXE5G3ckv8RJ+m+vJGQWO17IwpF1dS9rXs8TDwQw9HXnhRwghhBBCCCGEEOJVJYl18UrLysoiMDCQadOmqca0tLTo2LEjJ0+eLPW6LVu2ZPXq1Vy+fJk6deoQEhLC8ePHWbhwYYHz/Pz8sLS0xNTUlPbt2zNnzhyqVav2xHUfPHjAgwcPVB+npKSUOkYBsUnp/9VKT+BkZCIPcvJUx/R0tGjhVI32/zUetatWuRwjFUIIIYQQQgghhBAvEkmsi1fanTt3yM3NpXr16gXGq1evTnh4eKnXnTp1KikpKdSrVw9tbW1yc3P56quvGDhwoOqczp0707NnTxwdHYmMjOSzzz6jS5cunDx5Em1t7SLXnTt3LrNmzSp1XK+6rJw8zlxNwvdSfomXyNtpBY7bVDWgXT0L2tW1pGUtcwz0iv46CCGEEEIIIYQQQohXmyTWhXgOduzYwc8//8yWLVto0KABwcHBjB8/Hmtra4YMGQJAv379VOc3atQIV1dXatWqhZ+fHx06dChy3WnTpjFx4kTVxykpKdja2j7fm6ngElIy8bt0myPhCRyPuEPqgxzVMW0tBR72prSrl1/ipbZlFRQKRTlGK4QQQgghhBBCCCEqAkmsi1eaubk52tra3Lp1q8D4rVu3nqr2+eTJk5k6daoqed6oUSOuXbvG3LlzVYn1xzk5OWFubk5ERMQTE+v6+vrS4FSN3DwlIXHJ+IUncORSAuevFyyXY15FD686+Yn01rXNMTHQLadIhRBCCCGEEEIIIURFJYl18UrT09PD3d2dw4cP06NHDwDy8vI4fPgwH330UanXTU9PR0urYHNLbW1t8vLynjAD4uLiSExMxMrKqtTXfVUlp2fhf/k2fpdu43/5NklpWQWON65pQrv/aqU3sjFBS0t2pQshhBBCCCGEEEKI0pPEunjlTZw4kSFDhuDh4YGnpyeLFy8mLS2NYcOGATB48GBsbGyYO3cukN/wNCwsTPXn69evExwcTJUqVXB2dgagW7dufPXVV9jZ2dGgQQOCgoJYuHAhPj4+AP/X3r1HVVXmfxz/HNDDVfAOHhXQKBTUvGSEecHJEVeUmlqOK0omy6bRGjPTlmPhVJOVOlamduNSWaG20syMGWNAq0EtAzNTkkSdlYJd5OIVguf3hz/2dEKRgxCQ79daZy3O3s9+Lqzv2nz5snmOjh8/rr/97W8aP368AgMD9c0332j27NkKDQ1VTExMI3wXmhdjjPYcKVVG7lFl7D2qzw8dU6X53/lWni009Iqze6UPu6KDOrTiKX8AAAAAAADUH5sxxly4GfDb9vzzz2vhwoUqKChQ37599dxzzykyMlKSFB0drZCQEKWkpEiSDhw4oG7dulXrY9iwYcrMzJQ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+      "text/plain": [
+       "<Figure size 1600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%time \n",
+    "\n",
+    "da.plot(figsize=(16,4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "e5fc3c21-5181-4467-acd0-89f68da8d259",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 1.21 s, sys: 309 ms, total: 1.52 s\n",
+      "Wall time: 3.8 s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x77df7903c690>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1800x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "ds.sm_surface_wetness.mean(dim=\"time\").plot(figsize=(18,6))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}