Constraining uncertainty in projected precipitation over land with causal discovery

Kurzfassung

Accurately projecting future precipitation patterns over land is crucial for understanding climate change and developing effective mitigation and adaptation strategies. However, projections of precipitation changes in state-of-the-art climate models still exhibit considerable uncertainty, in particular over vulnerable and populated land areas. This study aims to address this challenge by introducing a novel methodology for constraining climate model precipitation projections with causal discovery.