Martin WEISSMANN (Weißmann)
Univ.-Prof. Mag. Dr.


martin.weissmann(at)univie.ac.at

Josef-Holaubek-Platz 2 (UZA II), 1090 Wien
Raumnummer: 2G552
T: +43-1-4277-537 10


© Barbara Mair

Curriculum Vitae

Since 2024: Vice-Director of Studies - Earth Sciences, Geography and Astronomy Directorate of Doctoral Studies;

Since 2020: Professor for Theoretical Meteorology, Universität Wien;

2020 - 2022: Head of Department of Meteorology and Geophysics;

2019: Head of Data Assimilation Branch, Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst;

2011-2018: Head of Data Assimilation Branch, Hans-Ertel Centre for Weather Research, Ludwig-Maximilians Universität München;

2006-2011: Post-Doc at DLR Oberpfaffenhofen;

2003-2006: PhD position at DLR Oberpfaffenhofen (in cooperation with Universität Innsbruck);

1996-2003: MSc studies (Diploma) in Meteorology at Universität Innsbruck.

 

Forschungsinteressen

  • Numerical weather prediction
  • Atmospheric data assimilation
  • Ensembles, error modelling and probabilistic forecasts
  • Wind lidars and Aeolus satellite

 

Wissenschaftliches Engagement

2025 Vice-Rector´s Award for Excellence in Doctoral Studies from Marsaryk University

Since 2020 Member of the ESA Aeolus Science and data quality Advisory Group

Since 2015 Member of the DFG SFB Waves to Weather

2018-2019 Coordinator of the project Experimental Validation and Assimilation of Aeolus Observations (EVAA)

2014 and 2018 Lead Organizer of the International Symposium on Data Assimilation

2012-2014 Speaker of Management Committee of the Hans-Ertel Centre for Weather Research

2008 Co-chair of the International Science Steering Committee for the THORPEX Pacific Asian Regional Campaign

 

Publikationen bis 2019

Publikationen

Zeige Ergebnisse 21 - 30 von 34
Farokhmanesh, F, Höhlein, K, Neuhauser, C, Necker, T, Weissmann, M, Miyoshi, T & Westermann, R 2023, Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles. in VMV 2023: Vision, Modeling, and Visualization. VMV 2023, Vision, Modeling, and Visualization. The Eurographics Association, Deutschland, 27/09/23. https://doi.org/10.2312/vmv.20231229

Krüger, K, Schäfler, A, Wirth, M, Weissmann, M & Craig, GC 2022, 'Vertical structure of the lower-stratospheric moist bias in the ERA5 reanalysis and its connection to mixing processes', Atmospheric Chemistry and Physics, Jg. 22, Nr. 23, S. 15559-15577. https://doi.org/10.5194/acp-22-15559-2022

Craig, GC, Puh, M, Keil, C, Tempest, K, Necker, T, Ruiz , J, Weissmann, M & Miyoshi, T 2022, 'Distributions and convergence of forecast variables in a 1000 member convection-permitting ensemble', Quarterly Journal of the Royal Meteorological Society, Jg. 148, Nr. 746, S. 2325-2343. https://doi.org/10.1002/qj.4305

Höhlein, K, Weiss, S, Necker, T, Weissmann, M, Miyoshi, T & Westermann, R 2022, Evaluation of Volume Representation Networks for Meteorological Ensemble Compression. in VMV 2022: Vision, Modeling, and Visualization. VMV 2022, Vision, Modeling, and Visualization. The Eurographics Association., Konstanz, Deutschland, 23/09/22. https://doi.org/10.2312/vmv.20221198

Geiss, S, Scheck, L, de Lozar, A & Weissmann, M 2021, 'Understanding the model representation of clouds based on visible and infrared satellite observations', Atmospheric Chemistry and Physics, Jg. 21, Nr. 16, S. 12273-12290. https://doi.org/10.5194/acp-21-12273-2021

Martin, A, Weissmann, M, Reitebuch, O, Rennie, M, Geiss, A & Cress, A 2021, 'Validation of Aeolus winds using radiosonde observations and numerical weather prediction model equivalents', Atmospheric Measurement Techniques, Jg. 14, Nr. 3, S. 2167-2183. https://doi.org/10.5194/amt-14-2167-2021

Schröttle, J, Weissmann, M, Scheck, L & Hutt, A 2020, 'Assimilating visible and infrared radiances in idealized simulations of deep convection', Monthly Weather Review, Jg. 148, Nr. 11, S. 4357-4375. https://doi.org/10.1175/MWR-D-20-0002.1

Scheck, L, Weissmann, M & Bach, L 2020, 'Assimilating visible satellite images for convective‐scale numerical weather prediction: A case‐study', Quarterly Journal of the Royal Meteorological Society, Jg. 146, Nr. 732, S. 3165-3186. https://doi.org/10.1002/qj.3840

Necker, T, Geiss, S, Weissmann, M, Ruiz , J, Miyoshi, T & Lien, GY 2020, 'A convective‐scale 1,000‐member ensemble simulation and potential applications', Quarterly Journal of the Royal Meteorological Society, Jg. 146, Nr. 728, S. 1423-1442. https://doi.org/10.1002/qj.3744

Hutt, A, Schraff, C, Anlauf, H, Bach, L, Baldauf, M, Bauernschubert, E, Cress, A, Faulwetter, R, Fundel, F, Köpken-Watts, C, Reich, H, Schomburg, A, Schröttle, J, Stephan, K, Stiller, O, Weissmann, M & Potthast, R 2020, 'Assimilation of SEVIRI Water Vapor Channels With an Ensemble Kalman Filter on the Convective Scale', Frontiers in Earth Science, Jg. 8, 70. https://doi.org/10.3389/feart.2020.00070

Zeige Ergebnisse 21 - 30 von 34