
About
Martin Weißmann is a Professor for Theoretical Meteorology at the University of Vienna's Faculty of Earth Sciences, Geography and Astronomy, where he has served since 2020. Previously, he headed the Department of Meteorology and Geophysics (2020-2022) and the Data Assimilation Branch at the Hans-Ertel Centre for Weather Research. His research focuses on numerical weather prediction, atmospheric data assimilation, ensemble forecasting, error modeling, and applications of wind lidar and satellite data.
Education includes an MSc in Meteorology from the University of Innsbruck (1996-2003) and a PhD from DLR Oberpfaffenhofen in cooperation with University of Innsbruck (2003-2006). His scientific commitments include membership in the ESA Aeolus Science and data quality Advisory Group and coordination of the project Experimental Validation and Assimilation of Aeolus Observations.
Research interests center on:
- Advanced data assimilation techniques for numerical weather prediction
- Ensemble methods for probabilistic forecasting and error quantification
- Integration of novel observation systems like Doppler wind lidars
- Validation and application of Aeolus satellite wind data
- Convective-scale modeling and high-resolution forecasting
His publication record demonstrates consistent focus on improving weather prediction systems through innovative assimilation methods, with recent work emphasizing machine learning applications, convective-scale data assimilation, and satellite data validation. Teaching responsibilities include courses in dynamic meteorology, numerical weather prediction, and scientific communication.
Find Martin Weißmann elsewhere
Related Searches
You Might Also Like
- AAmezcua JavierUniversity of Reading · Researcher
Alison FowlerUniversity of Reading · Research Fellow
Kayo IdeUniversity of Maryland, College Park · Associate Professor
Lukas KuglerUniversity of Vienna · Research Fellow
Sebastian BleyLeibniz Institute for Tropospheric Research · Researcher- AAlison RuddUniversity of Reading · Researcher