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setup.md

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@@ -34,6 +34,34 @@ ESMValTool code.
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- git:
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[https://swcarpentry.github.io/git-novice/](https://swcarpentry.github.io/git-novice/)
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![Data flow with ESMValTool](../fig/flowchart_setup.png)
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### Using your own machine
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Please skip this section if you are not going to use ESMValTool on your
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local machine and go [here](#github-account-advanced).
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If you are planning on running ESMValTool on your own machine, please make sure
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that you are able to download CMIP data and that you have a few GB of space
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available to install conda and ESMValTool, but also enough to make a copy of some
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data (~125MB) needed for this tutorial.
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You can use ESMValTool to automatically download data needed for test recipes.
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Please see the [Configuration][lesson-configuration] episode
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or the [configuration file documentation][config-file] for more information.
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This the recommended option as it has the advantage that data is
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stored in subdirectories, and features such as wildcards and recording
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the version of the data will work automatically.
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Alternatively, you can run the following command using
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[wget](https://en.wikipedia.org/wiki/Wget):
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~~~shell
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wget --no-clobber --input-file \
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https://github.com/ESMValGroup/ESMValTool_Tutorial/raw/main/data/dataset.urls \
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--directory-prefix $HOME/esmvaltool_tutorial/data/
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~~~
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## Access to CMIP and Observational data and a suitable compute cluster
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@@ -227,33 +255,6 @@ be found [here](https://docs.dkrz.de/doc/levante/running-jobs/index.html).
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Congratulations! Please go here [here](#github-account-advanced) next.
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### Using your own machine
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Please skip this section if you are not going to use ESMValTool on your
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local machine and go [here](#github-account-advanced).
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If you are planning on running ESMValTool on your own machine, please make sure
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that you are able to download CMIP data and that you have a few GB of space
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available to install conda and ESMValTool, but also enough to make a copy of some
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data (~125MB) needed for this tutorial.
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You can use ESMValTool to automatically download data needed for test recipes.
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Please see the [Configuration][lesson-configuration] episode
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or the [configuration file documentation][config-file] for more information.
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This the recommended option as it has the advantage that data is
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stored in subdirectories, and features such as wildcards and recording
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the version of the data will work automatically.
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Alternatively, you can run the following command using
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[wget](https://en.wikipedia.org/wiki/Wget):
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~~~shell
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wget --no-clobber --input-file \
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https://github.com/ESMValGroup/ESMValTool_Tutorial/raw/main/data/dataset.urls \
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--directory-prefix $HOME/esmvaltool_tutorial/data/
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~~~
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## GitHub account (Advanced)
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You don’t need a github account to participate in the tutorial. However, if you

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