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1 to 10 of 6,414 Results

SimVP Global SSH Maps 2019 Jan 22, 2024 Martin, Scott, 2024, "SimVP Global SSH Maps 2019", https://doi.org/10.7910/DVN/H4HQGD, Harvard Dataverse, V1 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 ap...
coord_grids.npy Jan 22, 2024 - SimVP Global SSH Maps 2019 Unknown - 1.4 GB - MD5: 3683828202cd18293879fecf7ef7fea0
distance_to_nearest_coastlines_10grid.nc Jan 22, 2024 - SimVP Global SSH Maps 2019 Network Common Data Form - 20.6 MB - MD5: 874e3732a16b388110e0fbbb560f0aec
input_data_region0-1.npy Jan 22, 2024 - SimVP Global SSH Maps 2019 Unknown - 98.8 MB - MD5: 0209889d0e9f7f2d8d80caa9fa6d73a1
input_data_region0.npy Jan 22, 2024 - SimVP Global SSH Maps 2019 Unknown - 98.8 MB - MD5: 0209889d0e9f7f2d8d80caa9fa6d73a1
input_data_region1000.npy Jan 22, 2024 - SimVP Global SSH Maps 2019 Unknown - 98.8 MB - MD5: 5b4854087009270862b36aa03a6bdc0d
input_data_region1001.npy Jan 22, 2024 - SimVP Global SSH Maps 2019 Unknown - 98.8 MB - MD5: f1af911a402a04b31ae4d057f095f8c8
input_data_region1002.npy Jan 22, 2024 - SimVP Global SSH Maps 2019 Unknown - 98.8 MB - MD5: a8f2d1f487f6bc9175743ca1c524dcac
input_data_region1003.npy Jan 22, 2024 - SimVP Global SSH Maps 2019 Unknown - 98.8 MB - MD5: 6c38365fe803f443bb42512372df8251
input_data_region1004.npy Jan 22, 2024 - SimVP Global SSH Maps 2019 Unknown - 98.8 MB - MD5: 56e16d5b69f90a4e506704e4dba870fb

SimVP Global SSH Maps 2019

Jan 22, 2024

Martin, Scott, 2024, "SimVP Global SSH Maps 2019", https://doi.org/10.7910/DVN/H4HQGD, Harvard Dataverse, V1

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 ap...

coord_grids.npy