Search Packages

scikit-downscale

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

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.

topopyscale

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

dearprudence

Internal Python library filled with sugar for swallowing downscalingCMIP6 parameter files

rascal-ties

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

globsim

Using global reanalyses for permafrost simulation

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.

dl4ds

Deep Learning for empirical DownScaling

downscale

Tools for downscaling gridded data in xarray

pptx-downsizer

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

dl4d

Deep Learning for empirical DownScaling