ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows

11 Aug 2020Brian GroenkeLuke MadausClaire 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. Statistical downscaling aims to approximate this task using statistical patterns gleaned from an existing dataset of downscaled values, often obtained from observations or physical models... (read more)

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