diff --git a/.binder/environment.yml b/.binder/environment.yml
index 1a81a355..0e722a9a 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -19,7 +19,7 @@ dependencies:
   - geoviews-core >=1.14.0,<2
   - gsw >=3.6.19,<4
   - hvplot >=0.11.3,<0.12
-  - h5netcdf >=1.6.2,<2
+  - h5netcdf >=1.6.3,<2
   - ipykernel >=6.29.5,<7
   - matplotlib-base >=3.10.3,<4
   - netcdf4 >=1.7.2,<2
@@ -35,8 +35,9 @@ dependencies:
   - sphinx-notfound-page >=1.1.0,<2
   - sphinxext-rediraffe >=0.2.7,<0.3
   - s3fs >=2025.5.1,<2026
-  - xarray >=2025.6.1,<2026
-  - zarr >=3.0.8,<4
+  - xarray >=2025.7.0,<2026
+  - zarr >=3.0.10,<4
   - flox >=0.10.4,<0.11
   - numbagg >=0.9.0,<0.10
+  - rich >=14.0.0,<15
   - python >=3.10
diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
new file mode 100644
index 00000000..78ab0ed4
--- /dev/null
+++ b/.devcontainer/Dockerfile
@@ -0,0 +1,13 @@
+FROM mcr.microsoft.com/devcontainers/base:noble
+
+ARG PIXI_VERSION=v0.49.0
+
+RUN curl -L -o /usr/local/bin/pixi -fsSL --compressed "https://github.com/prefix-dev/pixi/releases/download/${PIXI_VERSION}/pixi-$(uname -m)-unknown-linux-musl" \
+    && chmod +x /usr/local/bin/pixi \
+    && pixi info
+
+# set some user and workdir settings to work nicely with vscode
+USER vscode
+WORKDIR /home/vscode
+
+RUN echo 'eval "$(pixi completion -s bash)"' >> /home/vscode/.bashrc
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index 39a55761..d90ee6bd 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -1,17 +1,42 @@
+// https://pixi.sh/latest/integration/editor/vscode/#devcontainer-extension
 {
-  "image": "quay.io/pangeo/pangeo-notebook:latest",
-  "postCreateCommand": {
-    "vscode": "mkdir ${containerWorkspaceFolder}/.vscode && cp ${containerWorkspaceFolder}/.devcontainer/tasks.json ${containerWorkspaceFolder}/.vscode/tasks.json"
-  },
-  "hostRequirements": {
-    "cpus": 2
+  "name": "xarray-tutorial",
+  "build": {
+    "dockerfile": "Dockerfile",
+    "context": ".."
   },
   "customizations": {
-    "codespaces": {
-      "openFiles": ["README.md"]
-    },
     "vscode": {
-      "extensions": ["ms-toolsai.jupyter", "ms-python.python"]
+      "settings": {},
+      "extensions": [
+        "ms-toolsai.jupyter",
+        "ms-python.python",
+        "executablebookproject.myst-highlight"
+      ]
+    }
+  },
+  "features": {
+    // ensure GitHub Codespace 'Open with JupyterLab' works
+    // TODO: figure out why it doesn't work w/ jupyterlab in the pixi environment
+    "ghcr.io/devcontainers/features/python:1": {
+      "version": "3.12",
+      "installTools": false,
+      // NOTE: not working, so install with pip in postCreateCommand
+      // "toolsToInstall":"jupyterlab_myst,pixi-kernel",
+      "installJupyterlab": true
     }
+  },
+  "mounts": [
+    "source=${localWorkspaceFolderBasename}-pixi,target=${containerWorkspaceFolder}/.pixi,type=volume"
+  ],
+  // These should execute in order below
+  "onCreateCommand": {
+    "configure_jupyterlab": "pip install jupyterlab_myst pixi-kernel"
+  },
+  "postCreateCommand": {
+    "set_pixi_permissions": "sudo chown vscode .pixi"
+  },
+  "postStartCommand": {
+    "configure_jupyterlab": "pixi install"
   }
 }
diff --git a/.devcontainer/scipy2025/Dockerfile b/.devcontainer/scipy2025/Dockerfile
new file mode 100644
index 00000000..78ab0ed4
--- /dev/null
+++ b/.devcontainer/scipy2025/Dockerfile
@@ -0,0 +1,13 @@
+FROM mcr.microsoft.com/devcontainers/base:noble
+
+ARG PIXI_VERSION=v0.49.0
+
+RUN curl -L -o /usr/local/bin/pixi -fsSL --compressed "https://github.com/prefix-dev/pixi/releases/download/${PIXI_VERSION}/pixi-$(uname -m)-unknown-linux-musl" \
+    && chmod +x /usr/local/bin/pixi \
+    && pixi info
+
+# set some user and workdir settings to work nicely with vscode
+USER vscode
+WORKDIR /home/vscode
+
+RUN echo 'eval "$(pixi completion -s bash)"' >> /home/vscode/.bashrc
diff --git a/.devcontainer/scipy2025/devcontainer.json b/.devcontainer/scipy2025/devcontainer.json
new file mode 100644
index 00000000..39fc8725
--- /dev/null
+++ b/.devcontainer/scipy2025/devcontainer.json
@@ -0,0 +1,42 @@
+// https://pixi.sh/latest/integration/editor/vscode/#devcontainer-extension
+{
+  "name": "scipy2025-xarray-tutorial",
+  "build": {
+    "dockerfile": "Dockerfile",
+    "context": "../../"
+  },
+  "customizations": {
+    "vscode": {
+      "settings": {},
+      "extensions": [
+        "ms-toolsai.jupyter",
+        "ms-python.python",
+        "executablebookproject.myst-highlight"
+      ]
+    }
+  },
+  "features": {
+    // ensure GitHub Codespace 'Open with JupyterLab' works
+    // TODO: figure out why it doesn't work w/ jupyterlab in the pixi environment
+    "ghcr.io/devcontainers/features/python:1": {
+      "version": "3.12",
+      "installTools": false,
+      // NOTE: not working, so install with pip in postCreateCommand
+      // "toolsToInstall":"jupyterlab_myst,pixi-kernel",
+      "installJupyterlab": true
+    }
+  },
+  "mounts": [
+    "source=${localWorkspaceFolderBasename}-pixi,target=${containerWorkspaceFolder}/.pixi,type=volume"
+  ],
+  // These should execute in order below
+  "onCreateCommand": {
+    "configure_jupyterlab": "pip install jupyterlab_myst pixi-kernel"
+  },
+  "postCreateCommand": {
+    "set_pixi_permissions": "sudo chown vscode .pixi"
+  },
+  "postStartCommand": {
+    "configure_jupyterlab": "pixi install"
+  }
+}
diff --git a/.devcontainer/tasks.json b/.devcontainer/tasks.json
deleted file mode 100644
index 3b034156..00000000
--- a/.devcontainer/tasks.json
+++ /dev/null
@@ -1,16 +0,0 @@
-{
-  "version": "2.0.0",
-  "tasks": [
-    {
-      "label": "jupyterlab",
-      "type": "shell",
-      "command": "/srv/conda/envs/notebook/bin/jupyter lab --LabApp.default_url='/lab/tree/overview/xarray-in-45-min.ipynb' --ServerApp.allow_origin='*' --no-browser",
-      "presentation": {
-        "reveal": "always"
-      },
-      "runOptions": {
-        "runOn": "folderOpen"
-      }
-    }
-  ]
-}
diff --git a/README.md b/README.md
index 92dbc0e9..bc921d7b 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,8 @@
 # Xarray Tutorial
 
-[![CI](https://github.com/xarray-contrib/xarray-tutorial/workflows/CI/badge.svg?branch=main)](https://github.com/xarray-contrib/xarray-tutorial/actions?query=branch%3Amain)
+[![Deploy Website to GitHub Pages](https://github.com/xarray-contrib/xarray-tutorial/actions/workflows/main.yaml/badge.svg)](https://github.com/xarray-contrib/xarray-tutorial/actions/workflows/main.yaml)
 [![Jupyter Book Badge](https://jupyterbook.org/badge.svg)](https://tutorial.xarray.dev)
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/xarray-contrib/xarray-tutorial/HEAD?labpath=workshops/scipy2024/index.ipynb)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/xarray-contrib/xarray-tutorial/HEAD?labpath=overview/xarray-in-45-min.ipynb)
 
 This is the repository for a Jupyter Book website with tutorial material for [Xarray](https://github.com/pydata/xarray), _an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!_
 
@@ -24,12 +24,14 @@ This tutorial is available to run within [Github Codespaces](https://github.com/
 
 GitHub currently gives every user [120 vCPU hours per month for free](https://docs.github.com/en/billing/managing-billing-for-github-codespaces/about-billing-for-github-codespaces#monthly-included-storage-and-core-hours-for-personal-accounts), beyond that you must pay. **So be sure to explicitly stop or shut down your codespace when you are done by going to this page (https://github.com/codespaces).**
 
-Once your codespace is launched, the following happens:
+You can also use the GitHub CLI to launch a codespace
 
-- [Visual Studio Code](https://code.visualstudio.com/) Interface will open up within your browser.
-- A built in terminal will open and it will execute `jupyter lab` automatically.
-- Once you see a url to click within the terminal, simply `cmd + click` the given url.
-- This will open up another tab in your browser, leading to a [Jupyter Lab](https://jupyterlab.readthedocs.io/en/latest/) Interface.
+```
+# This will output a URL to use VSCode in the browser
+gh codespace create --repo xarray-contrib/xarray-tutorial
+# Optionally launch JupyterLab instead of vscode (after codespace has been created)
+gh codespace jupyter
+```
 
 #### Locally
 
diff --git a/overview/get-started.md b/overview/get-started.md
index 1ee0299f..b4e0192c 100644
--- a/overview/get-started.md
+++ b/overview/get-started.md
@@ -19,14 +19,14 @@ Many notebooks use special formatting ([Myst Markdown](https://mystmd.org/guide/
 
 The easiest way to start modifying and experimenting with tutorial content is to launch a pre-configured server on the Cloud. This is easy thanks to several free resources which offer ephemeral computing instances (be aware you may loose your connection or work at any time)
 
+```{warning}
+Be patient, it can take a few minutes for a server to become available on the Cloud!
+```
+
 #### Mybinder.org
 
 Clicking [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/xarray-contrib/xarray-tutorial/HEAD) will load a pre-configured Jupyter Lab interface with _all_ tutorial notebooks for you to run. _You have minimal computing resources and any changes you make will not be saved._ Any page with executable content also has a {octicon}`rocket;2em` icon in the upper right that will launch an interactive session for that particular page.
 
-```{warning}
-Be patient, it can take a few minutes for a server to become available on the Cloud (Mybinder.org)!
-```
-
 #### GitHub Codespaces
 
 This tutorial is available to run within [GitHub Codespaces](https://github.com/features/codespaces) - a preconfigured development environment running in Microsoft Azure.
@@ -39,13 +39,28 @@ You can choose from a selection of virtual machine types: 2 cores - 8 GB RAM sho
 Additionally, you are able to chose from various configurations for specific workshops (such as Scipy2024).
 GitHub currently gives every user [120 vCPU hours per month for free](https://docs.github.com/en/billing/managing-billing-for-github-codespaces/about-billing-for-github-codespaces#monthly-included-storage-and-core-hours-for-personal-accounts), beyond that you must pay. **So be sure to explicitly stop your codespace when you are done by going to this page (https://github.com/codespaces).** You can also chose to fully delete your codespace when you're done exploring tutorial content.
 
+```{tip}
+By default Codespaces open VSCode in a browser window. But you can also launch a JupyterLab interface. Once you've launched a codespace, use the auto-generated name in the following URL: `https://github.com/codespaces/CODESPACE-NAME?editor=jupyter`
+```
+
+Using the GitHub CLI is another very convenient way to start a codespace:
+
+```bash
+gh codespace create -R xarray-contrib/xarray-tutorial
+```
+
+```bash
+# Wait a few minutes for `gh codespace create` to finish, then run:
+gh codespace jupyter
+```
+
 ### On your computer
 
 Running tutorials on your computer requires some setup:
 
 We recommend using [`pixi`](https://pixi.sh/latest/) to ensure a fully reproducible Python environment
 
-```
+```bash
 git clone https://github.com/xarray-contrib/xarray-tutorial.git
 cd xarray-tutorial
 pixi run tutorial
diff --git a/pixi.lock b/pixi.lock
index 63647960..baa04971 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -146,7 +146,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.14.0-nompi_py312h3faca00_100.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.2.0-h4bba637_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
@@ -386,6 +386,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-2.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/rich-14.0.0-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.19.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.22.3-py312h12e396e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rsa-4.9-pyhd8ed1ab_1.conda
@@ -461,7 +462,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-4.0.13-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.17.2-py312h66e93f0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/x265-3.5-h924138e_3.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.6.1-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.5-h988505b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.43-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda
@@ -482,7 +483,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/xyzservices-2025.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.18.3-py312h178313f_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.10-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h3b0a872_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda
@@ -626,7 +627,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/gts-0.7.6-he42f4ea_4.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/h5py-3.14.0-nompi_py312h35183de_100.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/harfbuzz-10.2.0-ha0dd535_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/hdf4-4.2.15-h2ee6834_7.conda
@@ -861,6 +862,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-2.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/rich-14.0.0-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.19.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.22.3-py312hcd83bfe_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rsa-4.9-pyhd8ed1ab_1.conda
@@ -934,14 +936,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-4.0.13-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/wrapt-1.17.2-py312hea69d52_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/x265-3.5-hbc6ce65_3.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.6.1-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xerces-c-3.2.5-h92fc2f4_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxau-1.0.12-h5505292_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxdmcp-1.1.5-hd74edd7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/xyzservices-2025.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/yaml-0.2.5-h3422bc3_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/yarl-1.18.3-py312h998013c_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.10-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-hc1bb282_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda
@@ -1074,7 +1076,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/gts-0.7.6-h6b5321d_4.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.2.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/h5py-3.14.0-nompi_py312h6cc2a29_100.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/harfbuzz-10.2.0-h885c0d4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/hdf4-4.2.15-h5557f11_7.conda
@@ -1293,6 +1295,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-2.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/rich-14.0.0-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.19.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.22.3-py312h2615798_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rsa-4.9-pyhd8ed1ab_1.conda
@@ -1373,7 +1376,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/wrapt-1.17.2-py312h4389bb4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/x265-3.5-h2d74725_3.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.6.1-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.7.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/xerces-c-3.2.5-he0c23c2_2.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libice-1.1.2-h0e40799_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libsm-1.2.5-h0e40799_0.conda
@@ -1386,7 +1389,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/xyzservices-2025.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h8ffe710_2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/yarl-1.18.3-py312h31fea79_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.10-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-ha9f60a1_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda
@@ -4638,16 +4641,17 @@ packages:
   license_family: MIT
   size: 53888
   timestamp: 1738578623567
-- conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.2-pyhd8ed1ab_0.conda
-  sha256: a17a784c2ae4c3b3ef63c390f68cf252c58af7220e1bdca843c1e2508e4e1b17
-  md5: 5a08b423e3347fb97f9bd45cd5166475
+- conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.6.3-pyhd8ed1ab_0.conda
+  sha256: 5ed16799f988011e05043e692401ed075bbd73ba312b731ae9e471d3a8e9f529
+  md5: 89617cc3dbdca99c74d72c94a2ec651d
   depends:
   - h5py
   - packaging
   - python >=3.9
   license: BSD-3-Clause
-  size: 48233
-  timestamp: 1750975483457
+  license_family: BSD
+  size: 48283
+  timestamp: 1751297771838
 - conda: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.14.0-nompi_py312h3faca00_100.conda
   sha256: 9d23b72ee1138e14d379bb4c415cfdfc6944824e1844ff16ebf44e0defd1eddc
   md5: 2e1c2a9e706c74c4dd6f990a680f3f90
@@ -11115,6 +11119,19 @@ packages:
   license_family: MIT
   size: 7818
   timestamp: 1598024297745
+- conda: https://conda.anaconda.org/conda-forge/noarch/rich-14.0.0-pyh29332c3_0.conda
+  sha256: d10e2b66a557ec6296844e04686db87818b0df87d73c06388f2332fda3f7d2d5
+  md5: 202f08242192ce3ed8bdb439ba40c0fe
+  depends:
+  - markdown-it-py >=2.2.0
+  - pygments >=2.13.0,<3.0.0
+  - python >=3.9
+  - typing_extensions >=4.0.0,<5.0.0
+  - python
+  license: MIT
+  license_family: MIT
+  size: 200323
+  timestamp: 1743371105291
 - conda: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.19.0-pyhd8ed1ab_0.conda
   sha256: 093f2a6e70e2fe2e235927639b50e4e5fa4e350ac979fe3a88b821c1a087af41
   md5: 047d060dab87bd3de52bbbd6c6e9b5e4
@@ -11222,6 +11239,7 @@ packages:
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
+  license_family: BSD
   size: 16847456
   timestamp: 1751148548291
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.16.0-py312hcedbd36_0.conda
@@ -11243,6 +11261,7 @@ packages:
   - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
+  license_family: BSD
   size: 13846609
   timestamp: 1751148522848
 - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.16.0-py312h1416ca1_0.conda
@@ -11261,6 +11280,7 @@ packages:
   - vc >=14.3,<15
   - vc14_runtime >=14.44.35208
   license: BSD-3-Clause
+  license_family: BSD
   size: 14932332
   timestamp: 1751161759720
 - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh0d859eb_1.conda
@@ -12421,39 +12441,39 @@ packages:
   license_family: GPL
   size: 5517425
   timestamp: 1646611941216
-- conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.6.1-pyhd8ed1ab_1.conda
-  sha256: e27b45ca791cfbcad37d64b8615d0672d94aafa00b014826fcbca2ce18bd1cc0
-  md5: 145c6f2ac90174d9ad1a2a51b9d7c1dd
+- conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2025.7.0-pyhd8ed1ab_0.conda
+  sha256: 59fa62a39068a93e3331043a497ee8886507379639377630ea0b76d6c55dc08b
+  md5: 86466ca062b92dfd6367188908de3302
   depends:
-  - numpy >=1.24
-  - packaging >=23.2
-  - pandas >=2.1
-  - python >=3.10
+  - numpy >=1.26
+  - packaging >=24.1
+  - pandas >=2.2
+  - python >=3.11
   constrains:
-  - scipy >=1.11
-  - dask-core >=2023.11
-  - bottleneck >=1.3
-  - zarr >=2.16
-  - flox >=0.7
-  - h5py >=3.8
-  - iris >=3.7
-  - cartopy >=0.22
-  - numba >=0.57
-  - sparse >=0.14
-  - pint >=0.22
-  - distributed >=2023.11
-  - hdf5 >=1.12
-  - seaborn-base >=0.13
-  - nc-time-axis >=1.4
   - matplotlib-base >=3.8
   - toolz >=0.12
+  - h5netcdf >=1.3
+  - pint >=0.24
+  - hdf5 >=1.14
+  - h5py >=3.11
   - netcdf4 >=1.6.0
+  - sparse >=0.15
+  - nc-time-axis >=1.4
+  - dask-core >=2024.6
+  - zarr >=2.18
+  - iris >=3.9
+  - distributed >=2024.6
+  - cartopy >=0.23
+  - numba >=0.60
+  - seaborn-base >=0.13
+  - scipy >=1.13
+  - flox >=0.9
+  - bottleneck >=1.4
   - cftime >=1.6
-  - h5netcdf >=1.3
   license: Apache-2.0
   license_family: APACHE
-  size: 879913
-  timestamp: 1749743321359
+  size: 878967
+  timestamp: 1751607999849
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.5-h988505b_2.conda
   sha256: 339ab0ff05170a295e59133cd0fa9a9c4ba32b6941c8a2a73484cc13f81e248a
   md5: 9dda9667feba914e0e80b95b82f7402b
@@ -12873,9 +12893,9 @@ packages:
   license_family: Apache
   size: 141616
   timestamp: 1737576608333
-- conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.8-pyhd8ed1ab_0.conda
-  sha256: 854caa950d31deca0c82ca2cdf45c19a47484b9838c7e357d967d42826c2766e
-  md5: fe4ccd05ad433a71414ac17137288809
+- conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.0.10-pyhd8ed1ab_0.conda
+  sha256: 57aed4191ef3849f3d1772c2c164725131c8b08dd9821fd4e9cb4496e1a3856c
+  md5: d049e9782d04290dfd3e661bb2dfce78
   depends:
   - crc32c
   - donfig >=0.8
@@ -12888,8 +12908,8 @@ packages:
   - fsspec >=2023.10.0
   license: MIT
   license_family: MIT
-  size: 214470
-  timestamp: 1747730730866
+  size: 219806
+  timestamp: 1751566928250
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h3b0a872_7.conda
   sha256: a4dc72c96848f764bb5a5176aa93dd1e9b9e52804137b99daeebba277b31ea10
   md5: 3947a35e916fcc6b9825449affbf4214
diff --git a/pyproject.toml b/pyproject.toml
index f5afd878..d04e278b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -80,7 +80,7 @@ gcsfs = ">=2025.5.1,<2026"
 geoviews-core = ">=1.14.0,<2"
 gsw = ">=3.6.19,<4"
 hvplot = ">=0.11.3,<0.12"
-h5netcdf = ">=1.6.2,<2"
+h5netcdf = ">=1.6.3,<2"
 ipykernel = ">=6.29.5,<7"
 matplotlib-base = ">=3.10.3,<4"
 netcdf4 = ">=1.7.2,<2"
@@ -96,7 +96,8 @@ sphinxcontrib-mermaid = ">=1.0.0,<2"
 sphinx-notfound-page = ">=1.1.0,<2"
 sphinxext-rediraffe = ">=0.2.7,<0.3"
 s3fs = ">=2025.5.1,<2026"
-xarray = ">=2025.6.1,<2026"
-zarr = ">=3.0.8,<4"
+xarray = ">=2025.7.0,<2026"
+zarr = ">=3.0.10,<4"
 flox = ">=0.10.4,<0.11"
 numbagg = ">=0.9.0,<0.10"
+rich = ">=14.0.0,<15"