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Global Superstructure/Workflow supporting the Global, Global Ensemble, and Seasonal Forecast Systems (GFS, GEFS, SFS)
Predicts density of sea water based on 1 year of observed temperature, pressure, salinity, and trace chemicals with 87- 97% accuracy
euroargodev / PAR_BGC_Argo
Forked from jaipipor/PAR_BGC_ArgoCalculation of unbiased PAR from multispectral irradiance profiles
A model to predict T/S profiles in the Gulf Stream region from surface data
Library of derived climate variables, ie climate indicators, based on xarray.
A library for directly calling PyTorch ML models from Fortran.
CUPiD is a “one stop shop” that enables and integrates timeseries file generation, data standardization, diagnostics, and metrics from all CESM components.
Interpolates from a regular spherical (lat-lon) grid to a tri-polar ocean model grid