Zobrazeno 1 - 8
of 8
pro vyhledávání: '"François Bouyssel"'
Autor:
Andrew D. Elvidge, Irina Sandu, Nils Wedi, Simon B. Vosper, Ayrton Zadra, Souhail Boussetta, François Bouyssel, Annelize vanNiekerk, Mikhail A. Tolstykh, Masashi Ujiie
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 8, Pp 2567-2585 (2019)
Abstract The representation of orographic drag remains a major source of uncertainty for numerical weather prediction (NWP) and climate models. Its accuracy depends on contributions from both the model grid‐scale orography and the subgrid‐scale o
Externí odkaz:
https://doaj.org/article/7b1aba8b64ea4588a2d4bfaff68a036b
Autor:
Bart Catry, Jean-François Geleyn, François Bouyssel, Jure Cedilnik, Radmila Broková, Maria Derková, Richard
Publikováno v:
Meteorologische Zeitschrift, Vol 17, Iss 2, Pp 193-208 (2008)
A new sub-grid scale lift formulation in a mountain drag parameterisation scheme is presented. The main novelty is a new approach to make the lift force act on an estimate of the geostrophic wind vector (instead of acting on the local near-surface wi
Externí odkaz:
https://doaj.org/article/48144724300a429cb59c284cdb16eb41
Autor:
Nils Wedi, Andrew D. Elvidge, Mikhail A. Tolstykh, Souhail Boussetta, Simon Vosper, François Bouyssel, Ayrton Zadra, Annelize van Niekerk, Irina Sandu, Masashi Ujiie
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 8, Pp 2567-2585 (2019)
The representation of orographic drag remains a major source of uncertainty for numerical weather prediction (NWP) and climate models. Its accuracy depends on contributions from both the model grid‐scale orography and the subgrid‐scale orography
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a91bcf4a2d1c95a9e884ef7fb251a18
https://doaj.org/article/7b1aba8b64ea4588a2d4bfaff68a036b
https://doaj.org/article/7b1aba8b64ea4588a2d4bfaff68a036b
Autor:
Priyanka Yadav, Hai Lin, Judith Berner, Kazuo Saito, William J. Merryfield, Bar Bara Casati, Yi Huang, Michel Rixen, Thomas Rackow, Ayrton Zadra, Nils Wedi, Ángel F. Adames, Falko Judt, Hannah M. Christensen, Keith D. Williams, François Bouyssel, Eric D. Maloney, Ariane Frassoni, Michael Ek, Annelize van Niekerk, Greg Flato
Publikováno v:
Bulletin of the American Meteorological Society. 99:ES67-ES70
The fifth Workshop on Systematic Errors (WSE) in weather and climate models was hosted by Environment and Climate Change Canada (ECCC) on under the auspices of the Working Group on Numerical Experimentation (WGNE), jointly sponsored by the Commission
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c1df334c134b43fe8e6304391875b59
https://doi.org/10.1175/bams-d-17-0287.1
https://doi.org/10.1175/bams-d-17-0287.1
Publikováno v:
La Météorologie. :047
Au cours de ses années à la direction du Groupe de modélisation et d'assimilation pour la prévision (Gmap), Jean-François Geleyn dirigea avec enthousiasme, dynamisme, efficacité et une grande expertise la préparation de toutes les évolutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21d239d0b7d5b3de3a298afbc0edf47c
https://doi.org/10.37053/lameteorologie-2021-0019
https://doi.org/10.37053/lameteorologie-2021-0019
Autor:
Piet Termonia, Claude Fischer, Eric Bazile, François Bouyssel, Radmila Brožková, Pierre Bénard, Bogdan Bochenek, Daan Degrauwe, Maria Derkova, Ryad El Khatib, Rafiq Hamdi, Ján Mašek, Patricia Pottier, Neva Pristov, Yann Seity, Petra Smolíková, Oldrich Spaniel, Martina Tudor, Yong Wang, Christoph Wittmann, Alain Joly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5721850351f84c91d5bcc130d64cba6f
https://doi.org/10.5194/gmd-2017-103-supplement
https://doi.org/10.5194/gmd-2017-103-supplement
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 130:895-915
The analysis of soil moisture for the initialization of a mesoscale numerical weather-prediction (NWP) model is considered subject to operational constraints, both in terms of computational cost and data availability. A variational technique is used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5004c5becb06e8cd5386d903cdd8d0be
https://doi.org/10.1256/qj.02.215
https://doi.org/10.1256/qj.02.215
Autor:
Ewan O'Connor, Damian R. Wilson, Alain Protat, Anthony J. Illingworth, Adrian M. Tompkins, Jacques Pelon, Henk-Klein Baltink, David Donovan, Robin J. Hogan, Martial Haeffelin, Jean-Marcel Piriou, Julien Delanoë, Dominique Bouniol, François Bouyssel, Yohann Morille
Publikováno v:
Journal of Applied Meteorology and Climatology
Journal of Applied Meteorology and Climatology, American Meteorological Society, 2010, 49 (9), pp.1971-1991. ⟨10.1175/2010JAMC2333.1⟩
Journal of Applied Meteorology and Climatology, 2010, 49 (9), pp.1971-1991. ⟨10.1175/2010JAMC2333.1⟩
Journal of Applied Meteorology and Climatology, American Meteorological Society, 2010, 49 (9), pp.1971-1991. ⟨10.1175/2010JAMC2333.1⟩
Journal of Applied Meteorology and Climatology, 2010, 49 (9), pp.1971-1991. ⟨10.1175/2010JAMC2333.1⟩
The ability of four operational weather forecast models [ECMWF, Action de Recherche Petite Echelle Grande Echelle model (ARPEGE), Regional Atmospheric Climate Model (RACMO), and Met Office] to generate a cloud at the right location and time (the clou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69e5cfdd27d6dd2abc256cf1196d187f
https://hal.archives-ouvertes.fr/hal-00477076/file/2010jamc2333_1.pdf
https://hal.archives-ouvertes.fr/hal-00477076/file/2010jamc2333_1.pdf