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Address Niels' comments
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_episodes/01-introduction.md

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@@ -33,7 +33,7 @@ technical steps, let's talk about what ESMValTool is all about.
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> >
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> > ✓ **A tool to analyse climate data**
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> >
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> > ✓ **A library for reproducible climate science**
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> > ✓ **A collection of diagnostics for reproducible climate science**
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> >
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> > ✓ **A community effort**
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> >
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**recipe**. Any ESMValTool recipe is basically a set of instructions to reproduce
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a certain result. The basic structure of a recipe is as follows:
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- **Description** with relevant (citation) information
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- **Documentation** with relevant (citation) information
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- **Datasets** that should be analysed
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- **Preprocessor** steps that must be applied
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- **Diagnostic** scripts performing more specific evaluation steps
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- lastname_firstname
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datasets:
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- {dataset: HadGEM2-ES, project: CMIP5, exp: historical, mip: Amon, ensemble: r1i1p1, start_year: 1960, end_year: 2099}
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- {dataset: HadGEM2-ES, project: CMIP5, exp: historical, mip: Amon, ensemble: r1i1p1, start_year: 1960, end_year: 2005}
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preprocessors:
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global_mean:
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> {: .solution}
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{: .challenge}
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## A library for reproducible climate science
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## A collection of diagnostics for reproducible climate science
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More than a tool, ESMValTool is a library of publicly available recipes and
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diagnostic scripts. It comes with a large collection of recipes and diagnostic
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scripts to reproduce important results.
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More than a tool, ESMValTool is a collection of publicly available recipes and
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diagnostic scripts. This makes it possible to easily reproduce important
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results.
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> ## Explore the available recipes
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>

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