@@ -34,6 +34,34 @@ ESMValTool code.
3434- git:
3535 [ https://swcarpentry.github.io/git-novice/ ] ( https://swcarpentry.github.io/git-novice/ )
3636
37+ ![ Data flow with ESMValTool] ( ../fig/flowchart_setup.png )
38+
39+ ### Using your own machine
40+
41+ Please skip this section if you are not going to use ESMValTool on your
42+ local machine and go [ here] ( #github-account-advanced ) .
43+
44+ If you are planning on running ESMValTool on your own machine, please make sure
45+ that you are able to download CMIP data and that you have a few GB of space
46+ available to install conda and ESMValTool, but also enough to make a copy of some
47+ data (~ 125MB) needed for this tutorial.
48+
49+ You can use ESMValTool to automatically download data needed for test recipes.
50+ Please see the [ Configuration] [ lesson-configuration ] episode
51+ or the [ configuration file documentation] [ config-file ] for more information.
52+ This the recommended option as it has the advantage that data is
53+ stored in subdirectories, and features such as wildcards and recording
54+ the version of the data will work automatically.
55+
56+ Alternatively, you can run the following command using
57+ [ wget] ( https://en.wikipedia.org/wiki/Wget ) :
58+
59+ ~~~ shell
60+ wget --no-clobber --input-file \
61+ https://github.com/ESMValGroup/ESMValTool_Tutorial/raw/main/data/dataset.urls \
62+ --directory-prefix $HOME /esmvaltool_tutorial/data/
63+ ~~~
64+
3765
3866## Access to CMIP and Observational data and a suitable compute cluster
3967
@@ -227,33 +255,6 @@ be found [here](https://docs.dkrz.de/doc/levante/running-jobs/index.html).
227255
228256Congratulations! Please go here [ here] ( #github-account-advanced ) next.
229257
230- ### Using your own machine
231-
232- Please skip this section if you are not going to use ESMValTool on your
233- local machine and go [ here] ( #github-account-advanced ) .
234-
235- If you are planning on running ESMValTool on your own machine, please make sure
236- that you are able to download CMIP data and that you have a few GB of space
237- available to install conda and ESMValTool, but also enough to make a copy of some
238- data (~ 125MB) needed for this tutorial.
239-
240- You can use ESMValTool to automatically download data needed for test recipes.
241- Please see the [ Configuration] [ lesson-configuration ] episode
242- or the [ configuration file documentation] [ config-file ] for more information.
243- This the recommended option as it has the advantage that data is
244- stored in subdirectories, and features such as wildcards and recording
245- the version of the data will work automatically.
246-
247- Alternatively, you can run the following command using
248- [ wget] ( https://en.wikipedia.org/wiki/Wget ) :
249-
250- ~~~ shell
251- wget --no-clobber --input-file \
252- https://github.com/ESMValGroup/ESMValTool_Tutorial/raw/main/data/dataset.urls \
253- --directory-prefix $HOME /esmvaltool_tutorial/data/
254- ~~~
255-
256-
257258## GitHub account (Advanced)
258259
259260You don’t need a github account to participate in the tutorial. However, if you
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