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jhamman
scikit-downscale

Statistical downscaling and postprocessing models for climate and weather model simulations.

3K 194 43
NREL
nrel-sup3r

The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

2K 131 34
ArcticSnow
topopyscale

TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale

1K 60 17
brews
dearprudence

Internal Python library filled with sugar for swallowing downscalingCMIP6 parameter files

255 4 0
alvaro-gc95
rascal-ties

Python package to reconstruct and extend observational climate series through empricial downscaling of large-scale models

213 10 2
geocryology
globsim

Using global reanalyses for permafrost simulation

166 21 6
Dan-Boat
pyesd

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.

160 60 11
carlgogo
dl4ds

Deep Learning for empirical DownScaling

128 100 28
ClimateImpactLab
downscale

Tools for downscaling gridded data in xarray

78 152 37
scholer
pptx-downsizer

Python tool for downsizing Microsoft PowerPoint presentations (pptx) files.

78 24 2
carlgogo
dl4d

Deep Learning for empirical DownScaling

71 100 28
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