most citedAnalysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 6 cited

Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review

Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso +9

Atmospheric Extreme Events (EEs) cause severe damages to human societies and ecosystems. The frequency and intensity of EEs and other associated events are increasing in the curren…