Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Stappers, Roel"'
Autor:
Sánchez Arriola, Jana, Barkmeijer, Jan, Lindskog, Magnus, Gustafsson, Nils, Bojarova, Jelena, Azad, Roohollah, Monteiro, Isabel, Escribá, Pau, Whelan, Eoin, Ridal, Martin, Vignes, Ole, Stappers, Roel, Randriamampianina, Roger
Publikováno v:
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
Agencia Estatal de Meteorología (AEMET)
Presentación realizada en: 2nd ACCORD ASW celebrado del 4 al 8 de abril de 2022 en Ljubljana, Eslovenia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::074d09fb86877b92f416335198f706f4
http://hdl.handle.net/20.500.11765/13548
http://hdl.handle.net/20.500.11765/13548
Autor:
Barkmeijer, Jan, Lindskog, Magnus, Gustafsson, Nils, Bojarova, Jelena, Azad, Roohollah, Monteiro, Isabel, Secriba, Pau, Whelan, Eoin, Ridal, Martin, Sánchez Arriola, Jana, Vignes, Ole, Stappers, Roel, Randriamampianina, Roger
Publikováno v:
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
Agencia Estatal de Meteorología (AEMET)
The status of CY43 HARMONIE-AROME 4D-Var is presented. Central to the HARMONIE-AROME 4D-Var implementation is the multi-incremental approach and the current setup comprises two outer loops at six and three times the main forecast grid resolution of 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5c5c88f01676f1a923a3df51846f8b47
http://hdl.handle.net/20.500.11765/12698
http://hdl.handle.net/20.500.11765/12698
Autor:
van der Werf, Wopke, Keesman, Karel, Burgess, Paul, Graves, Anil, Pilbeam, David, Incoll, L.D., Metselaar, Klaas, Mayus, Martina, Stappers, Roel, van Keulen, Herman, Palma, João, Dupraz, Christian
Publikováno v:
In Ecological Engineering 2007 29(4):419-433
Autor:
STAPPERS, ROEL1, BARKMEIJER, JAN1
Publikováno v:
Tellus: Series A. May2011, Vol. 63 Issue 3, p373-384. 12p.
Autor:
Keesman, K. J., Stappers, Roel
In this paper a support vector machine (SVM) approach for characterizing the feasible parameter set (FPS) in non-linear set-membership estimation problems is presented. It iteratively solves a regression problem from which an approximation of the bou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::f4353543b1941f585cc026bf779a9ee7