Raül Marcos-Matamoros

Quantifying atmospheric and land drivers of hot temperature extremes through explainable Artificial Intelligence

Abstract. Different drivers have been shown to play a central role in modulating the occurrence and intensity of summer temperature extremes, yet their individual contributions remain difficult to quantify. In this study, we develop an explainable machine‐learning framework to di...