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55 changes: 28 additions & 27 deletions setup.md
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,34 @@ ESMValTool code.
- git:
[https://swcarpentry.github.io/git-novice/](https://swcarpentry.github.io/git-novice/)

![Flowchart for Setup](../fig/flowchart_setup.png)

### Using your own machine

Please skip this section if you are not going to use ESMValTool on your
local machine and go [here](#github-account-advanced).

If you are planning on running ESMValTool on your own machine, please make sure
that you are able to download CMIP data and that you have a few GB of space
available to install conda and ESMValTool, but also enough to make a copy of some
data (~125MB) needed for this tutorial.

You can use ESMValTool to automatically download data needed for test recipes.
Please see the [Configuration][lesson-configuration] episode
or the [configuration file documentation][config-file] for more information.
This the recommended option as it has the advantage that data is
stored in subdirectories, and features such as wildcards and recording
the version of the data will work automatically.

Alternatively, you can run the following command using
[wget](https://en.wikipedia.org/wiki/Wget):

~~~shell
wget --no-clobber --input-file \
https://github.com/ESMValGroup/ESMValTool_Tutorial/raw/main/data/dataset.urls \
--directory-prefix $HOME/esmvaltool_tutorial/data/
~~~


## Access to CMIP and Observational data and a suitable compute cluster

Expand Down Expand Up @@ -227,33 +255,6 @@ be found [here](https://docs.dkrz.de/doc/levante/running-jobs/index.html).

Congratulations! Please go here [here](#github-account-advanced) next.

### Using your own machine

Please skip this section if you are not going to use ESMValTool on your
local machine and go [here](#github-account-advanced).

If you are planning on running ESMValTool on your own machine, please make sure
that you are able to download CMIP data and that you have a few GB of space
available to install conda and ESMValTool, but also enough to make a copy of some
data (~125MB) needed for this tutorial.

You can use ESMValTool to automatically download data needed for test recipes.
Please see the [Configuration][lesson-configuration] episode
or the [configuration file documentation][config-file] for more information.
This the recommended option as it has the advantage that data is
stored in subdirectories, and features such as wildcards and recording
the version of the data will work automatically.

Alternatively, you can run the following command using
[wget](https://en.wikipedia.org/wiki/Wget):

~~~shell
wget --no-clobber --input-file \
https://github.com/ESMValGroup/ESMValTool_Tutorial/raw/main/data/dataset.urls \
--directory-prefix $HOME/esmvaltool_tutorial/data/
~~~


## GitHub account (Advanced)

You don’t need a github account to participate in the tutorial. However, if you
Expand Down
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