Felix Fauer

Dr. Felix Fauer is a Researcher at the Institute of Meteorology within the Department of Geosciences at Free University of Berlin, where he has served as a PhD student and research assistant in the ClimXtreme project since March 2020. His work focuses on statistical analysis of extreme precipitation events and intensity-duration-frequency (IDF) curve modeling, with strong collaborations across German climate research institutions.

His academic background includes:

• M.Sc. in Meteorology from Free University of Berlin (2017-2020), thesis: "Weather Influence on Traffic - How Machine Learning Can Enrich Impact Research"
• B.Sc. in Meteorology from University of Leipzig (2015-2017)
• B.Sc. in Biophysics from Humboldt University of Berlin (2012-2015)

Fauer's research centers on extreme precipitation statistics using Bayesian hierarchical modeling and machine learning. He investigates large-scale atmospheric influences on rainfall extremes, seasonal variations across timescales, and non-stationary behavior in central Europe. His work bridges theoretical statistics with practical applications in climate risk assessment and infrastructure design, particularly through IDF curve development for changing climate conditions.

His publication record reveals consistent focus on statistical innovations for precipitation extremes, with contributions to flexible quantile estimation methods, seasonal modeling frameworks, and event-specific analyses of major floods. Recent work demonstrates increasing integration of machine learning techniques and transdisciplinary approaches to climate impact studies.

No scientific awards are documented in available sources.

Fauer operates under the ClimXtreme project framework (B2.5: Precipitation Extremes), contributing to Germany's climate extremes research infrastructure. While no formal advisees are listed, his collaborative publications involve extensive teamwork across meteorological, hydrological, and geoscientific domains. Current work emphasizes improving extreme event modeling through large-scale atmospheric pattern integration.

He is embedded in the Statistical Meteorology working group at FU Berlin's Institute of Meteorology, actively collaborating with the Potsdam Institute for Climate Impact Research and Leibniz Institute for Tropospheric Research on projects including AMBER, Natural Hazards and Risks in a Changing World, and WEXICOM.