Are you tired of wrestling with satellite-based datasets? In this tutorial, you will get a crash course on using Python and other modern tools to analyze your satellite datasets which can speed up the learning curve and improve research efficiency. We’ll cover the basics of the NetCDF and HDF self-describing data formats, display data FAST using Panoply, and demo basic analysis using Python. Additionally, we share some of the best practices such as using version control and clean coding guidelines. This session will be beneficial for both experienced programmers who want overview of modern tools and also those just getting started with scientific programming. Examples will focus on atmospheric data from the GOES and JPSS satellites, however the presented tools and techniques can be applied to other NASA and NOAA scientific datasets across any discipline.

Price

$75 (regular)/$40 (student)