ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows

1 code implementation • 11 Aug 2020 • Brian Groenke, Luke Madaus, Claire Monteleoni

Downscaling is a landmark task in climate science and meteorology in which the goal is to use coarse scale, spatio-temporal data to infer values at finer scales.

Variational Inference