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20242026
most citedConditional diffusion models for downscaling and bias correction of Earth system model precipitation

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physics.ao-ph2025

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

Philipp Hess, Michael Aich, Baoxiang Pan +1

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 computa…

physics.ao-ph2025

Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models

Philipp Hess, Markus Drüke, Stefan Petri +2

Precipitation results from complex processes across many scales, making its accurate simulation in Earth system models (ESMs) challenging. Existing post-processing methods can impr…