PO.DAAC Cookbook

Making complex data simple with a few helpful tutorials


Welcome to the tutorial repository for the Physical Oceanography Distributed Active Archive Center (PO.DAAC)! Our goal is to make NASA’s ocean, climate, and surface water data universally accessible and meaningful.

This site is under active, open development. Stay tuned for more and ever-evolving content!

About the Cookbook

The PO.DAAC Cookbook is a place to learn about & experiment with the NASA Earthdata datasets we host. All data can be accessed freely in the cloud or downloaded locally. The How To section gives bite-sized pieces of code created in collaboration with the NASA Earthdata Cloud Cookbook community. Tutorials connect these pieces together to form example workflows specific to PO.DAAC datasets both within the cloud and on a local machine. To learn more about the cloud specifically, see the Earthdata Cloud Primer.

Most tutorials included in this cookbook are created with Python Jupyter Notebooks. All chapters in the cookbook are a combination of narrative, links, code, and outputs — and underlying each chapter is a file type that you can access on PO.DAAC GitHub (linked on the left navbar): Jupyter (.ipynb) or Quarto (.qmd) files.


The Physical Oceanography Distributed Active Archive Center (PO.DAAC) is a NASA Earth Observing System Data and Information System (EOSDIS) data center managed by the Earth Science Data and Information System (ESDIS) Project. The PO.DAAC is operated by Jet Propulsion Laboratory (JPL) in Pasadena, California.

For a brief overview of PO.DAAC’s history, see The Evolution of the PO.DAAC: Seasat to SWOT.