Statistics and Data Science for Climate and Weather Extremes

KCDS Fellows Lisa Leimenstoll and Tobias Biegert invited fellow researchers to the Institute of Statistics for a half-day workshop on Statistics and Data Science for Climate and Weather Extremes.

The workshop featured a poster session and the following invited talks:

• Sebastian Engelke (University of Geneva)

Sebastian Engelke works on extreme value theory, graphical models, and statistical climate science. His group also focuses on extrapolation methods in machine learning and weather forecasting with AI.

• Linda Mhalla (École Polytechnique Fédérale de Lausanne)

Linda Mhalla's research focuses on extreme value theory, quantitative risk modelling, and causal inference, with applications in environmental and financial contexts. In her presentation, she will discuss causal discovery in multivariate extremes, applied to environmental data

• Gabriele Messori (Uppsala University)

Gabriele Messori is an atmospheric physicist whose research focuses on climate extremes, including windstorms, temperature extremes, and heavy precipitation. His work adopts an interdisciplinary approach, examining the physical drivers, predictability, and impacts of these events within the Earth System.

• Petra Friederichs (University of Bonn)

Petra Friederichs focuses on the statistical modelling and forecasting of weather and climate extremes, including post-processing of forecasts, the development of targeted verification approaches, and the detection and attribution of human activities on the evolution and characteristics of extreme events in the future climate.

The event was rounded off by a networking dinner with speakers and participants.

Thank you to all invited speakers, contributors to the poster session and guests for an inspiring workshop!

Event registration link