معرفی
Marlene Kretschmer is an Assistant Professor for Climate Causality at the Leipzig Institute of Meteorology, University of Leipzig. She specializes in identifying causal drivers of extreme weather events through large-scale atmospheric circulation patterns and teleconnections, focusing on their evolution in a warming climate.
- M.Sc. in Mathematics, Humboldt University Berlin
- PhD in Climate Physics, University of Potsdam & Potsdam Institute for Climate Impact Research
Her research combines machine learning (particularly causal inference and explainable AI) with traditional climate physics to enhance subseasonal-to-seasonal forecasts and reduce regional climate projection uncertainties. Key areas include Arctic-mid-latitude linkages, detection/attribution of extremes, and teleconnection pathway analysis.
Recent publications highlight her work on Southern Hemisphere jet dynamics, CMIP6 model biases, and AI applications in climate prediction. Collaborative efforts span topics like renewable energy impacts and stratosphere-troposphere coupling.
She leads the Climate Causality Working Group, which focuses on Earth system changes and extreme event predictability, and contributes to teaching Data Science at the University of Leipzig.
