Logo IZKSLogo Uni BonnPetra Friederichs
Meteorological Institute
University of Bonn

PD Dr. Petra Friederichs
Senior Lecturer

Meteorological Institute
University of Bonn
Auf dem Hügel 20
53121 Bonn, Germany                    

Phone: +49 (0)228 735187
Fax: +49 (0)228 735188
Email (pgp pub key):

(most recent)

Buschow, S., Pidstrigach, J., and Friederichs, P. (2019): Assessment of wavelet-based spatial verification by means of a stochastic precipitation model (wv_verif v0.1.0), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-90, in review.

Cabral, R., A. Ferreira, and P. Friederichs (2019): Space-time trends and dependence of precipitation extremes in NW Germany (submitted to Environmetrics)

Schinagl, K., P. Friederichs, S. Troemel, and C. Simmer (2019): Gamma drop size distribution assumptions in bulk model  parameterizations and radar polarimetry and their impact on polarimetric radar moments. Journal of Applied Meteorology and Climatology, doi: 10.1175/JAMC-D-18-0178.1

Dorninger, M., P. Friederichs, S. Wahl, M. P. Mittermaier, C. Marsigli, and B. G. Brown (2018): Editorial: Forecast verification methods across time and space scales – Part I. Meteorologische Zeitschrift 27, 433 - 434, doi: 10.1127/metz/2018/0955

Kapp, F., P. Friederichs, S. Brune, and M. Weniger (2018): Spatial verification of high-resolution ensemble precipitation forecasts using local wavelet spectra. Meteorologische Zeitschrift 27, 467-480, doi: 10.1127/metz/2018/0903

Brune, S., F. Kapp and P. Friederichs (2018): A wavelet based analysis of convective organization in ICON large-eddy simulations. Q. J. R. Meteorol. Soc. 144, 2812-2829, doi: 10.1002/qj.3409

Buschow, S., and P. Friederichs (2018): Local dimension and recurrent circulation patterns in long-term climate simulations. Chaos 28, 083124, doi: 10.1063/1.5031094

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, doi: 10.1016/B978-0-12-812372-0.00005-4

Zerenner, T., , V. Venema, P. Friederichs and C. Simmer (2018): Deterministic and Stochastic Precipitation Downscaling using Multi-objective Genetic Programming. Proceedings of the Genetic and Evolutionary Computation Conference Companion, (GECCO '18). ACM, New York, NY, USA, 79-80, doi: 10.1145/3205651.3208778


Nerograv LogoDFG Research Unit: NEROGRAV
(New Refined Observations of Climate Change from Spaceborne Gravity Missions)
High-Resolution Atmospheric-hydrological Background Modelling for GRACE/GRACE-FO – regional refinement and validation

Deutscher Wetterdienst: Hans Ertel Centre for Weather Research
Retrospective Analysis of Regional Climate TB4

Logo HD(CP)2
High definition clouds and precipitation for advancing climate predictions HD(CP)2
Spatio-Temporal Uncertainty Assessment and Probabilistic Verication S9

TR32 TR32: Patterns in Soil-Vegetation-Atmosphere-Systems
A high-resolution multi-scale space-time precipitation model from direct measurements and remote sensing

logoVolkswagenStiftung: Extreme events: Modeling, Analysis, and Prediction
Mesoscale Weather Extremes: Theory, Spatial Modeling and Prediction

Lectures (WS 2017/2018):

Klimadynamik und Statistik I
Theoretische Meteorologie 2 (Thermodynamik)

Seminar zur stochastischen Dynamik
Bachelor- und Masterarbeitsthemen (aktuell)
Bachelor- und Masterarbeitsthemen (alt)