TUTORIALS

Welcome to the landing page for the Climate DataLab tutorials! These will guide you through the various steps involved with learning climate data analysis. Please see the list of topics below, and choose your favorites to browse through!
Note: currently all tutorials are being hosted via our GitHub repositories; full HTML versions are coming soon.

Getting Started

Start here if you’re JUST starting out on your journey, and haven’t configured your computer with the necessary tools to work with climate model output. For this purpose, “necessary tools” means Git, Github, Python, and Jupyter – the tutorials in this section will help you set those up.

Downloading Data

This section will show you how to obtain climate data to actually work with! There are a couple of options: data download from the Web, data access via the cloud, and access via supercomputing environments.

Time Series Plotting

These tutorials show you how to create some basic time series plots: the skills taught include regional averaging with and without area weighting, annual averaging and climatology removal, and fitting trend lines.

Mapping

In this section, you’ll learn how to create some basic maps using Cartopy!

Cross Sections

Regressions