PyESD
Downscaling tool
An open-source framework for downscaling climate variables using machine learning and reanalysis datasets.
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
48 stars
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11 forks
Language: Python
last commit: 2 months ago
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deep-learningdownscalingensemble-machine-learningmachine-learningprecipitationsckit-learntensorflow2
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