Zobrazeno 1 - 10
of 650
pro vyhledávání: '"P. Friederichs"'
Autor:
S. Szemkus, P. Friederichs
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 10, Pp 29-49 (2024)
We present a method for the analysis and compact description of large-scale multivariate weather extremes. Spatial patterns of extreme events are identified using the tail pairwise dependence matrix (TPDM) proposed by Cooley and Thibaud (2019). We al
Externí odkaz:
https://doaj.org/article/c3e79709b4024102b6d2e553e346dcb2
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 3243-3260 (2022)
Doppler wind lidars (DWLs) have increasingly been used over the last decade to derive the mean wind in the atmospheric boundary layer. DWLs allow the determination of wind vector profiles with high vertical resolution and provide an alternative to cl
Externí odkaz:
https://doaj.org/article/976e7feba99d409499a9bc17ac2be7a2
Autor:
S. Buschow, P. Friederichs
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 6765-6780 (2021)
The verification of high-resolution meteorological models requires highly resolved validation data and appropriate tools of analysis. While much progress has been made in the case of precipitation, wind fields have received less attention, largely du
Externí odkaz:
https://doaj.org/article/d5a947e37ab145b9ae1ac3c5633ee0b4
Autor:
Hahlbohm, Florian, Friederichs, Fabian, Weyrich, Tim, Franke, Linus, Kappel, Moritz, Castillo, Susana, Stamminger, Marc, Eisemann, Martin, Magnor, Marcus
3D Gaussian Splats (3DGS) have proven a versatile rendering primitive, both for inverse rendering as well as real-time exploration of scenes. In these applications, coherence across camera frames and multiple views is crucial, be it for robust conver
Externí odkaz:
http://arxiv.org/abs/2410.08129
Autor:
J. Steinheuer, P. Friederichs
Publikováno v:
Nonlinear Processes in Geophysics, Vol 27, Pp 239-252 (2020)
Many applications require wind gust estimates at very different atmospheric height levels. For example, the renewable energy sector is interested in wind and gust predictions at the hub height of a wind power plant. However, numerical weather predict
Externí odkaz:
https://doaj.org/article/f2a2ae5c35c7452e85d4cd44bb13787a
Autor:
S. Buschow, P. Friederichs
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 6, Pp 13-30 (2020)
Recently developed verification tools based on local wavelet spectra can isolate errors in the spatial structure of quantitative precipitation forecasts, thereby answering the question of whether the predicted rainfall variability is distributed corr
Externí odkaz:
https://doaj.org/article/72de6d60f54c448694259c7440aa8f03
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 3401-3418 (2019)
The quality of precipitation forecasts is difficult to evaluate objectively because images with disjointed features surrounded by zero intensities cannot easily be compared pixel by pixel: any displacement between observed and predicted fields is pun
Externí odkaz:
https://doaj.org/article/9c644e03ac594baf9e94d1bbe582cd28
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:
M. Ghil, P. Yiou, S. Hallegatte, B. D. Malamud, P. Naveau, A. Soloviev, P. Friederichs, V. Keilis-Borok, D. Kondrashov, V. Kossobokov, O. Mestre, C. Nicolis, H. W. Rust, P. Shebalin, M. Vrac, A. Witt, I. Zaliapin
Publikováno v:
Nonlinear Processes in Geophysics, Vol 18, Iss 3, Pp 295-350 (2011)
We review work on extreme events, their causes and consequences, by a group of European and American researchers involved in a three-year project on these topics. The review covers theoretical aspects of time series analysis and of extreme value theo
Externí odkaz:
https://doaj.org/article/348ffe7d35154464b3d45ff3c866f133
Autor:
P. Friederichs, C. Schölzel
Publikováno v:
Nonlinear Processes in Geophysics, Vol 15, Iss 5, Pp 761-772 (2008)
Probability distributions of multivariate random variables are generally more complex compared to their univariate counterparts which is due to a possible nonlinear dependence between the random variables. One approach to this problem is the use of c
Externí odkaz:
https://doaj.org/article/88ffc1316b784b5bbcf8a96f1a36d412