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Holger Wolff
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replace climate-cms.org with coecms.github.io
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.github/workflows/deploy.yml

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with:
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github_token: ${{ secrets.GITHUB_TOKEN }}
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publish_dir: _build/html
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cname: climate-cms.org
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cname: coecms.github.io

README.md

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The blog is viewable here:
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http://climate-cms.org
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http://coecms.github.io
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See the jupyter-book docs for info on creating posts - https://jupyterbook.org/intro.html
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1. Delete `branch`
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---
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The new blog post should appear within a few minutes at http://climate-cms.org
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The new blog post should appear within a few minutes at http://coecms.github.io
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If it doesn't, check under "Github Pages" here for error messages:
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posts/2021-11-02-pyproj-regrid.ipynb

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"# Regridding from one coordinate system to another with pyproj\n",
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"**Aidan Heerdegen, CLEX CMS**\n",
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"\n",
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"This post follows on from a [previous post](http://climate-cms.org/2021/10/01/pyproj.html) which covered converting between coordinate systems with [pyproj](https://pyproj4.github.io/pyproj/stable/).\n",
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"This post follows on from a [previous post](http://coecms.github.io/2021/10/01/pyproj.html) which covered converting between coordinate systems with [pyproj](https://pyproj4.github.io/pyproj/stable/).\n",
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"\n",
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"Some cells have `jupyter` magic `%%time` commands for no other reason than to give an indication of how long these operations typically take. Having an expectation of how long something should take is a useful metric for knowing when something is not working correctly.\n",
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"\n"

posts/2022-04-26-storage-where-what-why-how.md

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nci-files-report --group project_id
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```
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CMS has put in place a dashboard for visualising a range of accounting statistics for CLEX. Please contact CMS for the passowrd to access [this server](http://climate-cms.org/dashboard/)
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CMS has put in place a dashboard for visualising a range of accounting statistics for CLEX. Please contact CMS for the passowrd to access [this server](http://coecms.github.io/dashboard/)
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![Dashboard](../images/dashboard_w40.PNG "Dashboard")
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posts/2022-10-26-Data-Quarantine.md

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If there is data that you need to keep long term then there are a couple of things that need to be considered. You can publish your data if you have processed a lot of raw data and it doesn't already exist on the NCI system or you can move data to the tape system for long-term storage.
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Please have a look at this blog: https://climate-cms.org/posts/2022-04-26-storage-where-what-why-how.html
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Please have a look at this blog: https://coecms.github.io/posts/2022-04-26-storage-where-what-why-how.html
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Data can exist for longer on gdata than on scratch but for longer term you will need to decide on a method from the above link.

posts/2023-02-27-introducing-new-conda.md

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## Key differences between `conda_concept` and `conda`
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The key difference of the approach used by the `conda_concept` environments is the use of singularity's ability to manage squashfs file systems. A squashfs can be thought of a something like a tar file that can be accessed as if it were an entirely new file system. The obvious advantage of placing a conda environment in a squashfs is that it reduces the file count of the entire environment on `/g/data` to one.
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The drawback of using singularity to manage the squashfs is that containers have a number of restrictions placed on them for security reasons, (e.g. the `newgrp`, `switchproj` and `qcat` commands cannot be run from inside a container). Because of this, once the module is loaded, the user is kept out of the containerised environment unless a command that exists inside the container is run. This is accomplished by the use of a 'launcher' script that runs `singularity` and executes the command from within the container. For more details on this, see the [CMS Wiki page](https://climate-cms.org/cms-wiki/resources/resources-conda-setup.html). This leads to known issues with the environment.
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The drawback of using singularity to manage the squashfs is that containers have a number of restrictions placed on them for security reasons, (e.g. the `newgrp`, `switchproj` and `qcat` commands cannot be run from inside a container). Because of this, once the module is loaded, the user is kept out of the containerised environment unless a command that exists inside the container is run. This is accomplished by the use of a 'launcher' script that runs `singularity` and executes the command from within the container. For more details on this, see the [CMS Wiki page](https://coecms.github.io/cms-wiki/resources/resources-conda-setup.html). This leads to known issues with the environment.
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### Known Issues
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* The path to the python executable within a conda environment cannot be used as the shbang (e.g. `#!/g/data/hh5/public/apps/cms_conda/envs/analysis3/bin/python3` on the first line of script) as the executable does not exist outside of the container. Instead, use the launcher script symlink: `#!/g/data/hh5/public/apps/cms_conda_scripts/analysis3.d/bin/python3`, which launches the container and runs the script from inside of it.

posts/2023-07-05-select-region-shapefile.ipynb

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"id": "55f86961-a6e6-427d-99a2-7cee39a3530a",
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"metadata": {},
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"source": [
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"We open the files using preprocess argument to select our region of interest from each file before concatenating them. See this [blog](https://climate-cms.org/posts/2023-06-22-mfdataset-preprocess.html) for more information on preprocess."
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"We open the files using preprocess argument to select our region of interest from each file before concatenating them. See this [blog](https://coecms.github.io/posts/2023-06-22-mfdataset-preprocess.html) for more information on preprocess."
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]
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},
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{

posts/2024-06-05-mixing-python-envs.md

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is updated to every 3 months as new environments are released. For example, if you load `conda/analysis3` today,
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you'll get the `conda/analysis3-24.01` environment. If you were to load the same module a couple of months from
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now, you'll get the `conda/analysis3-24.04` environment. Our policies around updating the conda environments
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can be found [here](https://climate-cms.org/cms-wiki/services/services-conda.html). As time goes on, your
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can be found [here](https://coecms.github.io/cms-wiki/services/services-conda.html). As time goes on, your
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locally installed package will get further and further out of date, and could potentially conflict with newer
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packages installed in updated analysis environments.
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