Record Details

SimVP Global SSH Maps 2019

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title SimVP Global SSH Maps 2019
 
Identifier https://doi.org/10.7910/DVN/H4HQGD
 
Creator Martin, Scott
 
Publisher Harvard Dataverse
 
Description High-resolution global maps of sea surface height, surface geostrophic currents, relative vorticity, and strain rate created using deep learning neural network, SimVP, from satellite altimeter and sea surface temperature observations. Maps are provided for the year 2019 (which was never seen during training) and were created using all altimeters apart from Saral/Altika to allow independent evaluation of the mapped SSH. For more details, see our paper (https://doi.org/10.31223/X5W676). A longer time-series of these maps is under development and we plan to distribute these through NASA PO.DAAC in the future.
 
Subject Computer and Information Science
Earth and Environmental Sciences
ocean eddies
sea surface height
surface currents
 
Date 2024-01-22
 
Contributor Martin, Scott