Intro to Climate and Atmospheric Data Science

Catalog description

The five-day Climate and Atmospheric Data Science (CADS) short course offers an intensive, hands-on introduction to modern tools and methods in climate and atmospheric analysis. Hosted in Cornell’s Department of Earth and Atmospheric Sciences, the course combines lectures, labs, and individualized mentorship to build practical expertise. Students begin with foundational meteorological observations, progress through remote sensing, reanalysis, and forecasting systems, and finish with climate modeling and downscaling techniques. Each afternoon includes guided project work, culminating in a 24-hour hackathon and final presentations. An optional field trip provides direct engagement with field measurements, reinforcing connections between theory, data, and real-world applications