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                BonnLogo IFG Meteorology
Priv. Doz. Dr. Petra Friederichs
Institute of Geosciences
Meteorology Section
University of Bonn

PD Dr. Petra Friederichs
Senior Lecturer

Institute of Geosciences, Meteorology Section
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., and P. Friederichs (2020): SAD: Verifying the Scale, Anisotropy and Direction of precipitation forecasts. (submitted to Q. J. R. Meteorol. Soc)

Brune, S., S. Buschow and P. Friederichs (2020): The Local Wavelet-based Organization Index - Quantification, Localization and Classification of Convective Organization from Radar and Satellite Data. (submitted to Q. J. R. Meteorol. Soc)

Brune, S., S. Buschow and P. Friederichs (2020): Observations and high-resolution Simulations of Convective Organization over the Tropical Atlantic. Q. J. R. Meteorol. Soc., doi: 10.1002/qj.3751

Buschow, S., and P. Friederichs (2020):
Using wavelets to verify the scale structure of precipitation forecasts. Adv. Stat. Clim. Meteorol. Oceanogr., 6, 13–30, doi: 10.5194/ascmo-6-13-2020

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, doi: 10.5194/npg-2019-60

Stevens, B., et al. (2020): Large-eddy and Storm Resolving Models for Climate Prediction -- The Added Value for Clouds and Precipitation. Journal of the Meteorological Society of Japan, Ser. II, doi: 10.2151/jmsj.2020-021

Buschow, S., J. Pidstrigach, and P. Friederichs (2019): Assessment of wavelet-based spatial verification by means of a stochastic precipitation model (wv_verif v0.1.0), Geosci. Model Dev. 12, 3401-3418, doi: 10.5194/gmd-12-3401-2019

Cabral, R., A. Ferreira, and P. Friederichs (2019): Space-time trends and dependence of precipitation extremes in NW Germany. Environmetrics, doi: 10.1002/env.2605

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

BMBF, Forschung für Nachhaltige Entwicklung (FONA)
: "Climate Change and Extreme Events: Physics & Processes, Statistics, Impacts, and Software & Data"
LogoCoDEx: Compact description and statistical modeling for non-stationary spatial weather extremes
SCaHA: Statistical modeling of spatio-temporal weather extremes - Inference for serial clustering and homogeneity analysis
IHAX: Impact of human water use on atmospheric extremes in regional climate simulations

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
TB4 Climate Monitoring Branch
A future-oriented framework for regional climate monitoring

Lectures (WS 2017/2018):

Klimadynamik und Statistik I
Theoretische Meteorologie 2 (Thermodynamik)

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