2025 NOAA EDMW

Earth science data is increasingly available from the cloud and due to the size of many of these dataset (Tb and Pb in some cases), data workflows are transitioning to workflows that involve programmatic access with either cloud-native analysis or server-side processing. In this workshop, participants will take part in hands-on tutorials on working with PACE hyperspectral ocean color data with Python.

Participants will be led through a series of tutorials led by a variety of researchers to illustrate how to access and use this hyperspectral data and the various products available. Examples will range from the simple, extracting PACE hyperspectral ocean color data for an animal track, to the more complex, for example bloom detection and visualization, comparison of multiple ocean color products and tracking phytoplankton functional group changes in a bloom.

The training will use the NOAA Fisheries/Openscapes JupyterHub which allows participants to go through all the tutorials without having to install any software. Through the workshop participants will be exposed to the geoscientific Python community of tools for gridded and other spatial data and geospatial computing.

This is a 3-hour hands-on workshop. Participants will be working through tutorials in Python on a JupyterHub. Everything is in the cloud and in a browser; no installation of software is required. All tutorials are open source Jupyter notebooks and will be shared.