Conditional diffusion models for downscaling & bias correction of Earth system model precipitation

no code implementations • 5 Apr 2024 • Michael Aich, Philipp Hess, Baoxiang Pan, Sebastian Bathiany, Yu Huang, Niklas Boers

Traditional statistical bias correction and downscaling methods fall short in improving spatial structure, while recent deep learning methods lack controllability over the output and suffer from unstable training.

Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models

no code implementations • 5 Mar 2024 • Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers

Accurate and high-resolution Earth system model (ESM) simulations are essential to assess the ecological and socio-economic impacts of anthropogenic climate change, but are computationally too expensive.