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)

Kapp, F., P. Friederichs, S. Brune, and M. Weniger (2017): Spatial verification of high-resolution ensemble precipitation forecasts using local wavelet spectra. (Submitted to Meteorologische Zeitschrift)

Friederichs, P., S. Wahl, and S. Buschow (2017): Post-processing for extreme events. In:  S. Vannitsem, D. Wilks, and J. Messner (Eds.): Statistical Postprocessing of Ensemble Forecasts.

Ferreira, A., P. Friederichs, L. de Haan, C. Neves, and M. Schlather (2017): Estimating space-time trend and dependence of heavy rainfall. (Available at arxiv.org/abs/1707.04434)

Hewer, R., P. Friederichs, A. Hense, and M. Schlather (2017): A Matérn based Gaussian spatial stochastic process to consistently model wind and related variables. J. Atmospheric Sci. 47, 3833–3845, doi: 10.1175/JAS-D-16-0369.1

Wahl, S., C. Bollmeyer, S. Crewell, C. Figura, P. Friederichs, A. Hense, J. Keller, and C. Ohlwein (2017): A novel convective-scale regional reanalysis COSMO-REA2: Improving the representation of precipitation. Meteorologische Zeitschrift 26, 345 - 361, doi: 10.1127/metz/2017/0824

Weijenborg, C., J. Chagnon, P. Friederichs, S. L. Gray, and A. Hense (2017): Coherent evolution of potential vorticity anomalies associated with deep moist convection. Q. J. R. Meteorol. Soc. 143, 1254–1267, doi: 10.1002/qj.3000

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, doi: 10.1007/s10687-016-0277-x

Weniger, M., F. Kapp, and P. Friederichs (2017): Spatial Verification Using Wavelet Transforms: A Review. Q. J. R. Meteorol. Soc 143, 120–136, doi: 10.1002/qj.2881

Berner, J., U. Achatz, L. Batté, L. Bengtsson, A.d. Cámara, H.M. Christensen, M. Colangeli, D.R. Coleman, D. Crommelin, S.I. Dolaptchiev, C.L. Franzke, P. Friederichs, P. Imkeller, H. Järvinen, S. Juricke, V. Kitsios, F. Lott, V. Lucarini, S. Mahajan, T.N. Palmer, C. Penland, M. Sakradzija, J. von Storch, A. Weisheimer, M. Weniger, P.D. Williams, and J. Yano (2017): Stochastic Parameterization: Toward a New View of Weather and Climate Models. Bull. Amer. Meteor. Soc. 98, 565–588, doi: 10.1175/BAMS-D-15-00268.1


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

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

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

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

Lectures (WS 2017/2018):

Klimadynamik und Statistik I
Theoretische Meteorologie 2 (Thermodynamik)

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