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20242026
most citedA non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics

1 citations · 2 across the 3 of their papers we have counts for

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physics.comp-ph2025★ 1 cited

GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes

Mengze Wang, Benedikt Barthel Sorensen, Themistoklis Sapsis

Accurately quantifying the increased risks of climate extremes requires generating large ensembles of climate realization across a wide range of emissions scenarios, which is compu…