Webinar: Accelerating Science Using Virtualized Data at NASA PO.DAAC (8/21)

[Earthdata - jbrennan424]

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 Physical Oceanography Distributed Active Archive Center (PO.DAAC). PO.DAAC has created 10 virtualized datasets covering ocean currents, winds, bottom pressure, sea surface height, salinity, and temperature from satellite observations and ocean models.

In this webinar, we will briefly describe the fundamentals of the technology and demonstrate how to use it in Python scripts and notebooks. We also present performance metrics from computing a regional mean time series of satellite records 25-40 years in length, showing a full order of magnitude improvement in compute time compared to traditional access and methods. Lastly, we will present examples of utilizing virtual datasets to conduct real world science investigations, including interdisciplinary relationships between wind and ocean response during upwelling events, Indian Ocean Dipole surface characteristics, and the ocean response to El Niños.

For information and to register: https://www.earthdata.nasa.gov/learn/webinars/accelerating-science-using-virtualized-data-po.daac

[mgangl]

Most resources form the above webinar can be found at the following site:

https://podaac.github.io/tutorials/quarto_text/UsingVirtualDatasets.html

[Earthdata - jbrennan424]

To view the recording for this data training event see: https://youtu.be/K1FJyB0-XjY?si=WZ9ka7DtIr3SWj28