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

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

collaborators

1 paper

physics.ao-ph2024★ 1 cited

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

Benedikt Barthel Sorensen, Alexis Charalampopoulos, Shixuan Zhang +3

Due to the rapidly changing climate, the frequency and severity of extreme weather is expected to increase over the coming decades. As fully-resolved climate simulations remain com…