Computing and Research Methods for Clima

Nearly all subdisciplines in climate now rely on aspects of data science to understand problems and evaluate solutions. Climate science is generating “big data” including petabytes of observations from sources such as NASA and even more from climate models. With this big, complex data burden comes the need for advanced data science techniques such that scientists can better understand our climate system and explore possible solutions to the challenge of climate change. 

This course is a broad introduction to research computing and data science drawing from examples in climate science. Students will learn how to work with, analyze, and visualize big datasets. The course will utilize the scientific python ecosystem, Unix/Linux, shell scripting, terminal commands, git/github, and other techniques.