We are in the process of migrating all NASA Earth science data sites into Earthdata from now until end of 2026. Not all NASA Earth science data and resources will appear here until then. Thank you for your patience as we make this transition.Read about the Web Unification Project
Webinars and Trainings
Our online webinars, trainings, and workshops feature experts in various disciplines who share their knowledge in a particular subject area, from data in the cloud to specific data tools.
Join us to learn how to use NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC) State Of The Ocean (SOTO) toolkit to visualize and compare physical oceanography data!
Learn how SeaBASS can be leveraged for data search, discovery, and access, and will demonstrate how SeaBASS supports NASA’s ocean color satellite products and the broader scientific community.
The NASA Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) brings efficiency to your scientific workflow through its ability to subset, reformat, and reproject Earth science data in one step. Tune in to learn more!
During this webinar, we will provide an overview of the netCDF data format and show participants how to open, read, write and plot data that is in the netCDF format. The use case will focus on the Daymet meteorological variables data product.
Join us to learn more about Global Navigation Satellite System (GNSS) radio occultation science and applications! We will highlight science impacts in the areas of numerical weather prediction, forecasting cyclone genesis, and space weather.
The NASA climate reanalysis dataset from MERRA-2 and the Land Data Assimilation System (LDAS) datasets, contains numerous data for atmosphere, land, and ocean. Join us to learn how to access and visualize these data!
NASA's Ocean Biology Distributed Active Archive Center (OB.DAAC) manages, archives and distributes nearly 40 years of ocean color, sea surface temperature, and sea surface salinity data. Join us to learn how to discover and access these data!
Want to learn how to use R and Python to work with remote sensing data? Join us as we demonstrate how to perform basic data preparation, processing, computation, and visualization techniques using ASTER and VIIRS Surface Reflectance data.