A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics. - Benedikt Barthel Sorensen; Alexis-Tzianni Charalampopoulos; Shixuan Zhang; Bryce Harrop; Ruby Leung; Themistoklis P. Sapsis (CoRR, 2024)

A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data. - Benedikt Barthel Sorensen; Leonardo Zepeda-Núñez; Ignacio Lopez-Gomez; Zhong Yi Wan; Rob Carver; Fei Sha; Themistoklis P. Sapsis (CoRR, 2024)