Scikit-downscale: toolkit for statistical downscaling

Scikit-downscale is a toolkit for statistical downscaling using Scikit-Learn. It is meant to support the development of new and existing downscaling methods in a common framework. It implements Scikit-learn’s fit/predict API facilitating the development of a wide range of statitical downscaling models. Utilities and a high-level API built on Xarray and Dask support both point-wise and global downscaling applications.

Under Active Development

Scikit-downscale is under active development. We are looking for additional contributors to help fill out the list of downscaling methods supported here. We are also looking to find collaborators interested in using deep learning to build global downscaling tools. Get in touch with us on our GitHub page.

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