Downscaling Python Packages

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.

scikit-downscale

Statistical climate downscaling in Python

topopyscale

TopoPyScale, a Python package to perform simplistic climate downscaling at the hillslope scale.

nlr-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.

dearprudence

Internal Python library filled with sugar for swallowing downscalingCMIP6 parameter files.

dl4ds

Deep Learning for empirical DownScaling

globsim

Using global reanalyses for permafrost simulation

rascal-ties

Open-source tool for climatological time series reconstruction and extension

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.

downscale

Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project

pptx-downsizer

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

dl4d

Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data