VIIRS data and Ulmo model for comparison to the LLC4320 ECCO ocean general circulation model
收藏NIAID Data Ecosystem2026-05-01 收录
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http://datadryad.org/dataset/doi%253A10.7291%252FD1DM5F
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资源简介：
In brief, we compared VIIRS remote sensing data for SST on scales of ~100 km x 100 km against model outputs from the state-of-the-art ECCO LLC4320 ocean general circulation model. Using a machine learning metric named Ulmo, we demonstrate the LLC4320 model performs well across most of the global ocean. We highlight notable departures in the gulf stream, on the Equatorial Pacific, and in the Antarctic Cicumpolar Current.
All of the data provided here were sourced from public archives:
The JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC, https://podaac.jpl.nasa.gov
MITgcm.org (using xmitgcm)
or are products of our own analysis.
创建时间：
2023-06-15
