Introduction
Overview
Teaching: 5 min
Exercises: 10 min
Compatibility: ESMValTool v2.11.0Questions
What is ESMValTool?
Who are the people behind ESMValTool?
Objectives
Familiarize with ESMValTool
Synchronize expectations
What is ESMValTool?
This tutorial is a first introduction to ESMValTool. Before diving into the technical steps, let’s talk about what ESMValTool is all about.
What is ESMValTool?
What do you already know about or expect from ESMValTool?
ESMValTool is…
EMSValTool is many things, but in this tutorial we will focus on the following traits:
✓ A tool to analyse climate data
✓ A collection of diagnostics for reproducible climate science
✓ A community effort
A tool to analyse climate data
ESMValTool takes care of finding, opening, checking, fixing, concatenating, and preprocessing CMIP data and several other supported datasets.
The central component of ESMValTool that we will see in this tutorial is the recipe. Any ESMValTool recipe is basically a set of instructions to reproduce a certain result. The basic structure of a recipe is as follows:
- Documentation with relevant (citation) information
- Datasets that should be analysed
- Preprocessor steps that must be applied
- Diagnostic scripts performing more specific evaluation steps
An example recipe could look like this:
documentation:
title: This is an example recipe.
description: Example recipe
authors:
- lastname_firstname
datasets:
- {dataset: HadGEM2-ES, project: CMIP5, exp: historical, mip: Amon,
ensemble: r1i1p1, start_year: 1960, end_year: 2005}
preprocessors:
global_mean:
area_statistics:
operator: mean
diagnostics:
hockeystick_plot:
description: plot of global mean temperature change
variables:
temperature:
short_name: tas
preprocessor: global_mean
scripts: hockeystick.py
Understanding the different section of the recipe
Try to figure out the meaning of the different dataset keys. Hint: they can be found in the documentation of ESMValTool.
Solution
The keys are explained in the ESMValTool documentation, in the
Recipe section
, under datasets
A collection of diagnostics for reproducible climate science
More than a tool, ESMValTool is a collection of publicly available recipes and diagnostic scripts. This makes it possible to easily reproduce important results.
Explore the available recipes
Go to the ESMValTool Documentation webpage and explore the
Available recipes
section. Which recipe(s) would you like to try?
A community effort
ESMValTool is built and maintained by an active community of scientists and software engineers. It is an open source project to which anyone can contribute. Many of the interactions take place on GitHub. Here, we briefly introduce you to some of the most important pages.
Meet the ESMValGroup
Go to github.com/ESMValGroup. This is the GitHub page of our ‘organization’. Have a look around. How many collaborators are there? Do you know any of them?
Near the top of the page there are 2 pinned repositories: ESMValTool and ESMValCore. Visit each of the repositories. How many people have contributed to each of them? Can you also find out how many people have contributed to this tutorial?
Issues and pull requests
Go back to the repository pages of ESMValTool or ESMValCore. There are tabs for ‘issues’ and ‘pull requests’. You can use the labels to navigate them a bit more. How many open issues are about enhancements of ESMValTool? And how many bugs have been fixed in ESMValCore? There is also an ‘insights’ tab, where you can see a summary of recent activity. How many issues have been opened and closed in the past month?
Conclusion
This concludes the introduction of the tutorial. You now have a basic knowledge of ESMValTool and its community. The following episodes will walk you through the installation, configuration and running your first recipes.
Key Points
ESMValTool provides a reliable interface to analyse and evaluate climate data
A large collection of recipes and diagnostic scripts is already available
ESMValTool is built and maintained by an active community of scientists and developers