Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Martin Weißmann"'
Autor:
Guannan Hu, Sarah L. Dance, Ross N. Bannister, Hristo G. Chipilski, Oliver Guillet, Bruce Macpherson, Martin Weissmann, Nusrat Yussouf
Publikováno v:
Atmospheric Science Letters, Vol 24, Iss 1, Pp n/a-n/a (2023)
Abstract In November 2021, the Royal Meteorological Society Data Assimilation (DA) Special Interest Group and the University of Reading hosted a virtual meeting on the topic of DA for convection‐permitting numerical weather prediction. The goal of
Externí odkaz:
https://doaj.org/article/f567fa41c77740bf9762ec876c660fde
Autor:
Matthias Sommer, Martin Weissmann
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 68, Iss 0, Pp 1-12 (2016)
Knowledge on the contribution of observations to forecast accuracy is crucial for the refinement of observing and data assimilation systems. Several recent publications highlighted the benefits of efficiently approximating this observation impact usi
Externí odkaz:
https://doaj.org/article/93f72159c1dd42c5a702b7b5629b0b25
Autor:
Martin Weissmann, Martin Göber, Cathy Hohenegger, Tijana Janjic, Jan Keller, Christian Ohlwein, Axel Seifert, Silke Trömel, Thorsten Ulbrich, Kathrin Wapler, Christoph Bollmeyer, Hartwig Deneke
Publikováno v:
Meteorologische Zeitschrift, Vol 23, Iss 3, Pp 193-208 (2014)
The Hans-Ertel Centre for Weather Research is a network of German universities, research institutes and the German Weather Service (Deutscher Wetterdienst, DWD). It has been established to trigger and intensify basic research and education on weather
Externí odkaz:
https://doaj.org/article/9575deeddb5d4647abf01d60cb2521d8
Publikováno v:
Meteorologische Zeitschrift, Vol 16, Iss 6, Pp 709-721 (2007)
Inaccurate initial conditions can produce significant forecast failures of numerical weather prediction models. An iterative algorithm that uses the adjoint forecast model and is aimed at minimizing the forecast error leads to the so-called key analy
Externí odkaz:
https://doaj.org/article/b821ec42e2d04970b4f23effe7f0cb04
Autor:
Martin Weißmann
Martin Weißmann legt in diesem Open-Access-Buch theoretische Synthesen zu zentralen Themen der interdisziplinären Polizeiforschung vor und leistet damit einen Beitrag zur Integration dieser ansonsten oft empiristischen Forschung in die stärker the
Publikováno v:
Weather and Climate Dynamics. 4:249-264
Global wind profiles from the Aeolus satellite mission provide an important source of wind information for numerical weather prediction (NWP). Data assimilation experiments show large mean changes in the analysis and a significant reduction in foreca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::965225e1c69ead0d7203054ab4a64135
https://doi.org/10.5194/wcd-4-249-2023
https://doi.org/10.5194/wcd-4-249-2023
Autor:
Maurus Borne, Peter Knippertz, Martin Weissmann, Anne Martin, Michael Rennie, Alexander Cress
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 149:933-958
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96cd942c2264c6ef1a14cc695489d6ea
https://doi.org/10.1002/qj.4442
https://doi.org/10.1002/qj.4442
Autor:
Ulrich Löhnert, Tatiana Nomokonova, Tobias Necker, Martin Weissmann, Philipp Johannes Griewank, Takemasa Miyoshi
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 149:192-210
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd85f9adfd42f83f6c9771a69ad9a16c
https://doi.org/10.1002/qj.4402
https://doi.org/10.1002/qj.4402
Distributions and convergence of forecast variables in a 1,000‐member convection‐permitting ensemble
Autor:
George C. Craig, Matjaž Puh, Christian Keil, Kirsten Tempest, Tobias Necker, Juan Ruiz, Martin Weissmann, Takemasa Miyoshi
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 148:2325-2343
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6af21cd3aa08d09e2a6a246bdbc1d585
https://doi.org/10.1002/qj.4305
https://doi.org/10.1002/qj.4305
Ensemble and hybrid ensemble-variational Data Assimilation (DA) methods incorporating ensemble-based flow-dependent error statistics into state estimation have emerged in recent decades. In a hybrid DA, the background error covariances are a combinat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::607cd7fa3709159cfab2f19ae3786c94
https://doi.org/10.5194/egusphere-egu23-12636
https://doi.org/10.5194/egusphere-egu23-12636