Markus G. Donat

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...

Spurious Drifts in the ITCZ Location and Associated Atmospheric Circulation in Decadal Climate Predictions

Abstract Decadal predictions are affected by initialization shocks and drift, typically diagnosed in ocean circulation or temperature. It is not known, however, to what extent the drift can affect atmospheric dynamics. Here we investigate how the drift causes spatial shifts in th...