|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 1, |
| 6 | + "metadata": {}, |
| 7 | + "outputs": [], |
| 8 | + "source": [ |
| 9 | + "%matplotlib inline\n", |
| 10 | + "import intake\n", |
| 11 | + "import xarray as xr\n", |
| 12 | + "import os \n", |
| 13 | + "import pandas as pd\n", |
| 14 | + "import numpy as np\n", |
| 15 | + "import zarr \n", |
| 16 | + "import rhg_compute_tools.kubernetes as rhgk\n", |
| 17 | + "\n", |
| 18 | + "import matplotlib.pyplot as plt\n", |
| 19 | + "\n", |
| 20 | + "import re\n", |
| 21 | + "import yaml\n", |
| 22 | + "\n", |
| 23 | + "import ast\n", |
| 24 | + "\n", |
| 25 | + "import warnings " |
| 26 | + ] |
| 27 | + }, |
| 28 | + { |
| 29 | + "cell_type": "code", |
| 30 | + "execution_count": 2, |
| 31 | + "metadata": {}, |
| 32 | + "outputs": [ |
| 33 | + { |
| 34 | + "data": { |
| 35 | + "text/plain": [ |
| 36 | + "'client, cluster = rhgk.get_standard_cluster()\\ncluster'" |
| 37 | + ] |
| 38 | + }, |
| 39 | + "execution_count": 2, |
| 40 | + "metadata": {}, |
| 41 | + "output_type": "execute_result" |
| 42 | + } |
| 43 | + ], |
| 44 | + "source": [ |
| 45 | + "'''client, cluster = rhgk.get_standard_cluster()\n", |
| 46 | + "cluster'''" |
| 47 | + ] |
| 48 | + }, |
| 49 | + { |
| 50 | + "cell_type": "code", |
| 51 | + "execution_count": 3, |
| 52 | + "metadata": {}, |
| 53 | + "outputs": [], |
| 54 | + "source": [ |
| 55 | + "col = intake.open_esm_datastore(\"https://storage.googleapis.com/cmip6/pangeo-cmip6.json\")" |
| 56 | + ] |
| 57 | + }, |
| 58 | + { |
| 59 | + "cell_type": "code", |
| 60 | + "execution_count": 4, |
| 61 | + "metadata": {}, |
| 62 | + "outputs": [], |
| 63 | + "source": [ |
| 64 | + "def _paramfile_to_tuple(model, variable):\n", |
| 65 | + " \"\"\"\n", |
| 66 | + " takes in a model and variable, returns tuple from parameter file. \n", |
| 67 | + " \"\"\"\n", |
| 68 | + " param_file = '/home/jovyan/downscaling/downscale/workflows/parameters/{}-{}.yaml'.format(model, variable)\n", |
| 69 | + " with open(param_file, 'r') as f:\n", |
| 70 | + " var_dict = yaml.full_load(f)\n", |
| 71 | + " # some string parsing \n", |
| 72 | + " line = var_dict['jobs']\n", |
| 73 | + " line1 = re.sub(r\"\\n\", \"\", line)\n", |
| 74 | + " line2 = re.sub(r\"[\\[\\]]\", \"\", line1)\n", |
| 75 | + " return ast.literal_eval(line2.strip())\n", |
| 76 | + "\n", |
| 77 | + "def _get_cmip6_dataset(model, variable, tuple_id, period='ssp'):\n", |
| 78 | + " d_ssp = _paramfile_to_tuple(model, variable)[tuple_id][period]\n", |
| 79 | + " cat = col.search(\n", |
| 80 | + " activity_id=d_ssp['activity_id'],\n", |
| 81 | + " experiment_id=d_ssp['experiment_id'],\n", |
| 82 | + " table_id=d_ssp['table_id'],\n", |
| 83 | + " variable_id=d_ssp['variable_id'],\n", |
| 84 | + " source_id=d_ssp['source_id'],\n", |
| 85 | + " member_id=d_ssp['member_id'],\n", |
| 86 | + " grid_label=d_ssp['grid_label'],\n", |
| 87 | + " version=int(d_ssp['version']),\n", |
| 88 | + " )\n", |
| 89 | + " return cat.to_dataset_dict(progressbar=False)\n", |
| 90 | + "\n", |
| 91 | + "def compute_dtr(model, tuple_id=1):\n", |
| 92 | + " \"\"\"\n", |
| 93 | + " takes in tasmax and tasmin Datasets, computes DTR (returns it lazily)\n", |
| 94 | + " \"\"\"\n", |
| 95 | + " tasmax = _get_cmip6_dataset(model, 'tasmax', tuple_id)\n", |
| 96 | + " k_tasmax = list(tasmax.keys())\n", |
| 97 | + " if len(k_tasmax) != 1:\n", |
| 98 | + " raise ValueError(\"there is likely an issue with {} tasmax\".format(model))\n", |
| 99 | + " tasmin = _get_cmip6_dataset(model, 'tasmin', tuple_id)\n", |
| 100 | + " k_tasmin = list(tasmin.keys())\n", |
| 101 | + " if len(k_tasmin) != 1:\n", |
| 102 | + " raise ValueError(\"there is likely an issue with {} tasmin\".format(model))\n", |
| 103 | + " return tasmax[k_tasmax[0]]['tasmax'] - tasmin[k_tasmin[0]]['tasmin'] \n", |
| 104 | + "\n", |
| 105 | + "def check_dtr(dtr, model):\n", |
| 106 | + " \"\"\"\n", |
| 107 | + " \"\"\"\n", |
| 108 | + " min_dtr = dtr.min('time')\n", |
| 109 | + " neg_count = min_dtr.where(min_dtr <= 0).count().values\n", |
| 110 | + " if neg_count > 0:\n", |
| 111 | + " warnings.warn(\"DTR has negative values for {}\".format(model))" |
| 112 | + ] |
| 113 | + }, |
| 114 | + { |
| 115 | + "cell_type": "markdown", |
| 116 | + "metadata": {}, |
| 117 | + "source": [ |
| 118 | + "checking models " |
| 119 | + ] |
| 120 | + }, |
| 121 | + { |
| 122 | + "cell_type": "markdown", |
| 123 | + "metadata": {}, |
| 124 | + "source": [ |
| 125 | + "DTR negative: \n", |
| 126 | + "- GFDL-ESM4\n", |
| 127 | + "- GFDL-CM4\n", |
| 128 | + "\n", |
| 129 | + "DTR positive: \n", |
| 130 | + "- CanESM5\n", |
| 131 | + "- INM-CM4-8\n", |
| 132 | + "- INM-CM5-0\n", |
| 133 | + "- NorESM2-MM\n", |
| 134 | + "- NorESM2-LM\n", |
| 135 | + "- MIROC6\n", |
| 136 | + "- EC-Earth3-Veg-LR\n", |
| 137 | + "- EC-Earth3-Veg\n", |
| 138 | + "- EC-Earth3\n", |
| 139 | + "- KIOST-ESM\n", |
| 140 | + "- MIROC-ES2L\n", |
| 141 | + "- MPI-ESM1-2-LR\n", |
| 142 | + "- MPI-ESM1-2-HR\n", |
| 143 | + "- NESM3\n", |
| 144 | + "- MRI-ESM2-0\n", |
| 145 | + "- FGOALS-g3\n", |
| 146 | + "- CMCC-ESM2\n", |
| 147 | + "- BCC-CSM2-MR\n", |
| 148 | + "- AWI-CM-1-1-MR\n", |
| 149 | + "- ACCESS-CM2\n", |
| 150 | + "\n", |
| 151 | + "Parameter files to add or fix (could not check DTR): \n", |
| 152 | + "- UKESM1-0-LL\n", |
| 153 | + "- ACCESS-ESM1-5\n", |
| 154 | + "- MPI-ESM1-2-HAM\n", |
| 155 | + "\n", |
| 156 | + "Tasmin parameter files to add (could not check DTR): \n", |
| 157 | + "- CAMS-CSM1-0" |
| 158 | + ] |
| 159 | + }, |
| 160 | + { |
| 161 | + "cell_type": "code", |
| 162 | + "execution_count": 5, |
| 163 | + "metadata": {}, |
| 164 | + "outputs": [], |
| 165 | + "source": [ |
| 166 | + "model = 'NorESM2-MM'" |
| 167 | + ] |
| 168 | + }, |
| 169 | + { |
| 170 | + "cell_type": "code", |
| 171 | + "execution_count": 8, |
| 172 | + "metadata": {}, |
| 173 | + "outputs": [], |
| 174 | + "source": [ |
| 175 | + "# _get_cmip6_dataset(model, 'tasmax', 0)" |
| 176 | + ] |
| 177 | + }, |
| 178 | + { |
| 179 | + "cell_type": "code", |
| 180 | + "execution_count": 6, |
| 181 | + "metadata": {}, |
| 182 | + "outputs": [], |
| 183 | + "source": [ |
| 184 | + "dtr = compute_dtr(model, tuple_id=0)" |
| 185 | + ] |
| 186 | + }, |
| 187 | + { |
| 188 | + "cell_type": "code", |
| 189 | + "execution_count": 39, |
| 190 | + "metadata": {}, |
| 191 | + "outputs": [], |
| 192 | + "source": [ |
| 193 | + "check_dtr(dtr, model)" |
| 194 | + ] |
| 195 | + }, |
| 196 | + { |
| 197 | + "cell_type": "code", |
| 198 | + "execution_count": null, |
| 199 | + "metadata": {}, |
| 200 | + "outputs": [], |
| 201 | + "source": [] |
| 202 | + } |
| 203 | + ], |
| 204 | + "metadata": { |
| 205 | + "kernelspec": { |
| 206 | + "display_name": "Python 3", |
| 207 | + "language": "python", |
| 208 | + "name": "python3" |
| 209 | + }, |
| 210 | + "language_info": { |
| 211 | + "codemirror_mode": { |
| 212 | + "name": "ipython", |
| 213 | + "version": 3 |
| 214 | + }, |
| 215 | + "file_extension": ".py", |
| 216 | + "mimetype": "text/x-python", |
| 217 | + "name": "python", |
| 218 | + "nbconvert_exporter": "python", |
| 219 | + "pygments_lexer": "ipython3", |
| 220 | + "version": "3.8.6" |
| 221 | + }, |
| 222 | + "widgets": { |
| 223 | + "application/vnd.jupyter.widget-state+json": { |
| 224 | + "state": {}, |
| 225 | + "version_major": 2, |
| 226 | + "version_minor": 0 |
| 227 | + } |
| 228 | + } |
| 229 | + }, |
| 230 | + "nbformat": 4, |
| 231 | + "nbformat_minor": 4 |
| 232 | +} |
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