Residual corrective diffusion modeling for km-scale atmospheric downscaling

Abstract State of the art for weather and climate hazard prediction requires expensive km-scale numerical simulations. Here, a generative diffusion model is explored for downscaling global inputs to km-scale, as a cost-effective alternative. The model is trained to predict 2 km data from an operatio...

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Bibliographic Details

Published in:	Communications Earth & Environment
Main Authors:	Morteza Mardani, Noah Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Mohammad Amin Nabian, Tao Ge, Akshay Subramaniam, Karthik Kashinath, Jan Kautz, Mike Pritchard
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-02-01
Online Access:	https://doi.org/10.1038/s43247-025-02042-5