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PO.DAAC Learning Resources

Learning resources created by NASA’s Physical Oceanography Distributed Active Archive Center (PO.DAAC) help users find, analyze, and visualize data.
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The PO.DAAC cookbook is a repository of tutorials designed to help users learn about and experiment with datasets.

Resources include:

  • How-to section: bite-sized pieces of code
  • Tutorials: example workflows specific to PO.DAAC datasets
  • Advanced Cloud resources: guides, recipes, and more to help optimize cloud workflows
  • Tech Guide: instructions to clone the PO.DAAC repository
Access the PO.DAAC Cookbook
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SWOT river data

Earthdata GIS SWOT Rivers Feature Services

The SWOT Rivers Feature Service is available in both the ArcGIS REST Endpoints and Open Geospatial Consortium (OGC) Endpoints.
External Resource
GitHub Repository
March 29, 2023
po daac

PO.DAAC Cookbook

The PO.DAAC tutorial repository aims to make NASA’s ocean, climate, and surface water data universally accessible and meaningful.
External Resource
GitHub Repository
Jan. 18, 2024
This Jupyter Notebook workflow image shows an analysis-ready virtualized sea surface temperature dataset from NASA’s PO.DAAC loaded with Xarray on the left and a regional mean time series plot off the U.S. West Coast on the right.

Accelerating Science Using Virtualized Data at PO.DAAC

Join us on Aug. 21, 2025, at 2:00 p.m. EDT (-04:00 UTC) to learn how to use Python and Xarray to access virtualized, exploratIon- and analysis-ready physical oceanography datasets from NASA's PO.DAAC.
Webinar
Aug. 12, 2025
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