Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Friederichs, Petra"'
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-based" approach to attribution attempt to give an unconditional answe
Externí odkaz:
http://arxiv.org/abs/2407.10776
Autor:
Szemkus, Svenja1 sszemkus@uni-bonn.de, Friederichs, Petra1
Publikováno v:
Advances in Statistical Climatology, Meteorology & Oceanography (ASCMO). 2024, Vol. 10 Issue 1, p29-49. 21p.
Spatial verification of high-resolution ensemble precipitation forecasts using local wavelet spectra
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. To this end, a wavelet approach developed for image texture analysis is
Externí odkaz:
http://arxiv.org/abs/1808.07667
Autor:
Buschow, Sebastian, Friederichs, Petra
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science, Volume 28, Issue 8 (2018)
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 only the probabilities of extremely close Poincar\'{e} recurrences, we
Externí odkaz:
http://arxiv.org/abs/1803.11255
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 trend function and for extreme value parameters are given, leading to a
Externí odkaz:
http://arxiv.org/abs/1707.04434
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 introduced, which represents the differential relations of the two-dimensional
Externí odkaz:
http://arxiv.org/abs/1707.01287
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Due to the emergence of new high resolution numerical weather prediction (NWP) models and the availability of new or more reliable remote sensing data, the importance of efficient spatial verification techniques is growing. Wavelet transforms offer a
Externí odkaz:
http://arxiv.org/abs/1605.03395
Autor:
Weniger, Michael, Friederichs, Petra
The feature based spatial verification method SAL is applied to cloud data, i.e. two-dimensional spatial fields of total cloud cover and spectral radiance. Model output is obtained from the COSMO-DE forward operator SynSat and compared to SEVIRI sate
Externí odkaz:
http://arxiv.org/abs/1603.01656