© Manuel Kunz
PD Dr. Petra Friederichs
Working group leader and Research associate
Working group leader and Research associate
Affiliations
- Department of Meteorology
Research topics
- Climate dynamics and weather forecasting
- weather and climate extremes
- statistical methods in geosciences
- statistical methods in geosciences
My research interests are in understanding, statistical modeling, and forecasting of weather and climate extremes. This includes short-term forecasts, with post-processing of model forecasts and development of targeted verification approaches, as well as the detection and attribution of impacts of human activities on the evolution and characteristics of weather and climate extremes in the future climate. I consider important the integrated view of the Earth system, bringing together dynamical and stochastic process understanding, numerical modeling, and observational data. I am involved as PI in the CRC1502 DETECT (https://sfb1502.de/) and the Hans-Ertel Centre of Weather Research - Climate Monitoring and Diagnostics (https://www.hans-ertel-zentrum.de/). I will be leading the BMBF funded project group ClimXtreme II Module B (https://www.climxtreme.net), and I participate in the DFG Research Unit NEROGRAV as PI in IP3 - HIRABAM (https://www.asg.ed.tum.de/iapg/nerograv/projects2/ip3/)
Selected publications
- Steinheuer, J., et al. (2022): A new scanning scheme and flexible retrieval for mean winds and gusts from Doppler lidar measurements, Atmos. Meas. Tech. 15, 3243–3260
- Zerenner, T., V. Venema, P. Friederichs, and C. Simmer (2021): Multi-objective Downscaling of Precipitation Series by Genetic Programming. Int. J. Climatology, 41, 6162-6182
- Buschow, S., and P. Friederichs (2021): SAD: Verifying the Scale, Anisotropy and Direction of precipitation forecasts. Q. J. R. Meteorol. Soc. 147,1150-1169
- Brune, S., S. Buschow and P. Friederichs (2021): The Local Wavelet-based Organization Index - Quantification, Localization and Classification of Convective Organization from Radar and Satellite Data. Q. J. R. Meteorol. Soc. 147, 1853-1872
- Steinheuer, S., and P. Friederichs (2020): Vertical profiles of wind gust statistics from a regional reanalysis using multivariate extreme value theory. Nonlin. Processes Geophys., 27, 239–252
- Cabral, R., A. Ferreira, and P. Friederichs (2019): Space-time trends and dependence of precipitation extremes in NW Germany. Environmetrics
- Buschow, S., and P. Friederichs (2018): Local dimension and recurrent circulation patterns in long-term climate simulations. Chaos 28, 083124
- Friederichs, P., S. Wahl, and S. Buschow (2018): Post-processing for extreme events. In: S. Vannitsem, D. Wilks, and J. Messner (Eds.): Statistical Postprocessing of Ensemble Forecasts. Elsevier. 127-154
- Oesting, M., M. Schlather, and P. Friederichs (2017): Statistical Post-Processing of Forecasts for Extremes Using Bivariate Brown-Resnick Processes with an Application to Wind Gusts. Extremes 20, 309-332
- Wahl, S., et al. (2017): A novel convective-scale regional reanalysis COSMO-REA2: Improving the representation of precipitation. Meteorologische Z. 26, 345 - 361
© Manuel Kunz
PD Dr. Petra Friederichs
Working group leader and Research associate
Working group leader and Research associate
1.004
Auf dem Hügel 20
53121 Bonn