April 14, 2025 in Helena, MT, U.S.A.
Working with Gridded Climate
Data in Python
In this workshop, based in the Python programming language, we introduce participants to NASA’s free-to-use climate datasets, demonstrating how to search for, access, and manipulate satellite-based and modeled data on air temperature, precipitation, soil moisture, and humidity, among many potential climate variables. Participants will be introduced to hierarchical data formats, including HDF5 and netCDF4, along with the xarray library in Python. Our workshop offers hands-on experience with subsetting, resampling, and visualizing spatial data cubes: gridded climate variables that vary over space and time.
Workshop computing exercises will be based entirely in the Python programming language and learners are expected to bring their own laptops. Participants should have prior experience with basic Python programming. The instructor(s) of this workshop do not collect any money from participants or from MAGIP. The instructor(s) of this workshop are independently funded by NASA.
- Morning: "Introduction to NumPy"
- Afternoon: "Open Climate Data"