Zobrazeno 1 - 10
of 20
pro vyhledávání: '"S. Riette"'
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 1091-1109 (2024)
With the worldwide development of the solar energy sector, the need for reliable surface shortwave downward radiation (SWD) forecasts has significantly increased in recent years. SWD forecasts of a few hours to a few days based on numerical weather p
Externí odkaz:
https://doaj.org/article/531da62fce2b4323b15904304f57345f
Autor:
S. Riette
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 443-460 (2020)
To help develop and compare physical parametrizations such as those found in a numerical weather or climate model, a new tool was developed. This tool provides a framework with which to plug external parametrizations, run them in an offline mode (usi
Externí odkaz:
https://doaj.org/article/1c5116d5698d441ba2ac1614d3e91274
Autor:
C. Lac, J.-P. Chaboureau, V. Masson, J.-P. Pinty, P. Tulet, J. Escobar, M. Leriche, C. Barthe, B. Aouizerats, C. Augros, P. Aumond, F. Auguste, P. Bechtold, S. Berthet, S. Bielli, F. Bosseur, O. Caumont, J.-M. Cohard, J. Colin, F. Couvreux, J. Cuxart, G. Delautier, T. Dauhut, V. Ducrocq, J.-B. Filippi, D. Gazen, O. Geoffroy, F. Gheusi, R. Honnert, J.-P. Lafore, C. Lebeaupin Brossier, Q. Libois, T. Lunet, C. Mari, T. Maric, P. Mascart, M. Mogé, G. Molinié, O. Nuissier, F. Pantillon, P. Peyrillé, J. Pergaud, E. Perraud, J. Pianezze, J.-L. Redelsperger, D. Ricard, E. Richard, S. Riette, Q. Rodier, R. Schoetter, L. Seyfried, J. Stein, K. Suhre, M. Taufour, O. Thouron, S. Turner, A. Verrelle, B. Vié, F. Visentin, V. Vionnet, P. Wautelet
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 1929-1969 (2018)
This paper presents the Meso-NH model version 5.4. Meso-NH is an atmospheric non hydrostatic research model that is applied to a broad range of resolutions, from synoptic to turbulent scales, and is designed for studies of physics and chemistry. I
Externí odkaz:
https://doaj.org/article/1c8b76a99a384c1f8fa38fc07401b0c3
Autor:
A. Voldoire, B. Decharme, J. Pianezze, C. Lebeaupin Brossier, F. Sevault, L. Seyfried, V. Garnier, S. Bielli, S. Valcke, A. Alias, M. Accensi, F. Ardhuin, M.-N. Bouin, V. Ducrocq, S. Faroux, H. Giordani, F. Léger, P. Marsaleix, R. Rainaud, J.-L. Redelsperger, E. Richard, S. Riette
Publikováno v:
Geoscientific Model Development, Vol 10, Pp 4207-4227 (2017)
This study presents the principles of the new coupling interface based on the SURFEX multi-surface model and the OASIS3-MCT coupler. As SURFEX can be plugged into several atmospheric models, it can be used in a wide range of applications, from glo
Externí odkaz:
https://doaj.org/article/955e6d05739245e5b03357b9e5380406
Autor:
C. Lac, R. P. Donnelly, V. Masson, S. Pal, S. Riette, S. Donier, S. Queguiner, G. Tanguy, L. Ammoura, I. Xueref-Remy
Publikováno v:
Atmospheric Chemistry and Physics, Vol 13, Iss 9, Pp 4941-4961 (2013)
Accurate simulation of the spatial and temporal variability of tracer mixing ratios over urban areas is a challenging and interesting task needed to be performed in order to utilise CO2 measurements in an atmospheric inverse framework and to better e
Externí odkaz:
https://doaj.org/article/1b1e526b8118459fa2a976ac1ca9240b
Autor:
A. Lemonsu, C. Caillaud, A. Alias, S. Riette, Y. Seity, B. Le Roy, Y. Michau, P. Lucas-Picher
Publikováno v:
Climate Dynamics.
The convection-permitting regional climate model CNRM-AROME was applied on a spatial domain restricted to the northern half of France for analyzing its performances in simulating the urban climate of Paris region, and its potential added value compar
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
S. Riette, Sandip Pal, Christine Lac, L. Ammoura, R. P. Donnelly, Irène Xueref-Remy, S. Donier, G. Tanguy, S. Queguiner, Valéry Masson
Publikováno v:
Atmospheric Chemistry and Physics. 13:4941-4961
Accurate simulation of the spatial and temporal variability of tracer mixing ratios over urban areas is a challenging and interesting task needed to be performed in order to utilise CO2 measurements in an atmospheric inverse framework and to better e