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_episodes/conclusions.md

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@@ -31,6 +31,14 @@ From here, there are lots of ways that you can continue to use ESMValTool.
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- You can contribute your recipe and diagnostics back into ESMValTool. [Link to ep 10]
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- You can learn how to prepare observational datasets to be suitable for use by ESMValTool. [ Link to ep 11]
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> ## `What's next?`
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>
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> - Think about what you want to do with ESMValTool.
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> - Decide what datasets you want to use.
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> - How will you preprocess the data?
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> - What will your diagnostic need to do?
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> - What will your final figure show?
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{: .challenge}
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### Where can I get more information on ESMValTool?
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If you get stuck, a great starting point is to create a new issue. [Link to ep 10]
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There is also an ESMValTool email list [[email protected]]([email protected]).
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There is also an ESMValTool email list [[email protected]](mailto:[email protected]).
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Everybody can send mail without being subscribed to the group, but note that there is a spam filter.
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The email group archive is also [online](https://www.listserv.dfn.de/sympa/arc/esmvaltool/2020-06/).
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You may need to include a recipe or the output log as well.
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### How do I cite ESMValTool?
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Please use the following reference:
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Please cite ESMValTool as:
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- Lauer, A., Eyring, V., Bellprat, O., Bock, L., Gier, B. K., Hunter, A.,
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The following papers
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{% include links.md %}
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