activity
20122026
most citedForecast verification for extreme value distributions with an application to probabilistic peak wind prediction

115 citations · 209 across the 12 of their papers we have counts for

collaborators

12 papers

physics.ao-ph2026

On the role of moderator and mediator variables in conditional event attribution of heatwaves over Europe

Sebastian Buschow, Petra Friederichs, Andreas Hense

This study examines how a risk-based attribution analysis of European heat wave events under climate change varies when explanatory variables are included in the analysis. Instead…

physics.ao-ph2024

Reconciling risk-based and storyline attribution with Bayes theorem

Sebastian Buschow, Petra Friederichs, Andreas Hense

The question to what extent climate change is responsible for extreme weather events has been at the forefront of public and scholarly discussion for years. Proponents of the "risk…

stat.AP2018

Spatial verification of high-resolution ensemble precipitation forecasts using local wavelet spectra

Florian Kapp, Petra Friederichs, Sebastian Brune +1

The purpose of this study is to perform verification of the structural characteristics of high-resolution spatial forecasts without relying on an object identification algorithm. T…

physics.ao-ph2018★ 18 cited

Local dimension and recurrent circulation patterns in long-term climate simulations

Sebastian Buschow, Petra Friederichs

With the recent advent of a sound mathematical theory for extreme events in dynamical systems, new ways of analyzing a system's inherent properties have become available: Studying…

stat.ME2017★ 10 cited

Estimating space-time trend and dependence of heavy rainfall

Ana Ferreira, Petra Friederichs, Laurens de Haan +2

A new approach for evaluating time-trends in extreme values accounting also for spatial dependence is proposed. Based on exceedances over a space-time threshold, estimators for a t…

stat.AP2017★ 6 cited

A Matern based multivariate Gaussian random process for a consistent model of the horizontal wind components and related variables

Rüdiger Hewer, Petra Friederichs, Andreas Hense +1

The integration of physical relationships into stochastic models is of major interest e.g. in data assimilation. Here, a multivariate Gaussian random field formulation is introduce…