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Yann Seity
Researcher at Centre national de la recherche scientifique
Publications - 21
Citations - 2089
Yann Seity is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Environmental science & Numerical weather prediction. The author has an hindex of 12, co-authored 16 publications receiving 1758 citations.
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Journal ArticleDOI
The AROME-France Convective-Scale Operational Model
Yann Seity,Pierre Brousseau,Sylvie Malardel,P. Bénard,François Bouttier,Christine Lac,Valéry Masson +6 more
TL;DR: The application of research to operations at Mesoscale (AROME-France) convective-scale model became operational at Meteo-France at the end of 2008 as mentioned in this paper, and the main characteristics of this new numerical weather prediction system: the nonhydrostatic dynamical model core, detailed moist physics, and the as- sociated three-dimensional variational data assimilation (3D-Var) scheme.
Journal ArticleDOI
The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes
Valéry Masson,P. Le Moigne,Eric Martin,Stéphanie Faroux,Antoinette Alias,Ramdane Alkama,Sophie Belamari,Alina Barbu,Aaron Boone,F. Bouyssel,Pierre Brousseau,Eric Brun,Jean-Christophe Calvet,Dominique Carrer,Bertrand Decharme,Christine Delire,S. Donier,K. Essaouini,A.-L. Gibelin,Hervé Giordani,Florence Habets,M. Jidane,G. Kerdraon,Ekaterina Kourzeneva,Ekaterina Kourzeneva,Matthieu Lafaysse,Sébastien Lafont,C. Lebeaupin Brossier,Aude Lemonsu,Jean-François Mahfouf,P. Marguinaud,M. Mokhtari,S. Morin,G. Pigeon,Rui Salgado,Yann Seity,F. Taillefer,G. Tanguy,Pierre Tulet,Béatrice Vincendon,Vincent Vionnet,Aurore Voldoire +41 more
TL;DR: SURFEX as mentioned in this paper is an externalized land and ocean surface platform that describes the surface fluxes and the evolution of four types of surfaces: nature, town, inland water and ocean.
Journal ArticleDOI
The BLLAST field experiment: Boundary-Layer Late Afternoon and Sunset Turbulence
Marie Lothon,Fabienne Lohou,David Pino,Fleur Couvreux,Eric R. Pardyjak,Joachim Reuder,J. Vilà-Guerau de Arellano,Pierre Durand,Oscar Hartogensis,D. Legain,Patrick Augustin,Beniamino Gioli,Donald H. Lenschow,Ian Faloona,Carlos Yagüe,D. C. Alexander,Wayne M. Angevine,E Bargain,Joël Barrié,Eric Bazile,Y. Bezombes,E. Blay-Carreras,A. van de Boer,A. van de Boer,J. L. Boichard,Aurélien Bourdon,A. Butet,B. Campistron,O. de Coster,Joan Cuxart,Alain Dabas,Clara Darbieu,Karine Deboudt,Hervé Delbarre,Solène Derrien,Pascal Flament,Marc Fourmentin,Anirban Garai,Fabien Gibert,Alexander Graf,J. Groebner,Françoise Guichard,Maria A. Jiménez,Marius Opsanger Jonassen,A. C. van den Kroonenberg,Vincenzo Magliulo,Sabrina Martin,D. Martinez,D. Martinez,L. Mastrorillo,Arnold F. Moene,F. Molinos,Eric Moulin,H.P. Pietersen,Bruno Piguet,E. Pique,Carlos Román-Cascón,C. Rufin-Soler,Frédérique Saïd,M. Sastre-Marugán,Yann Seity,Gert-Jan Steeneveld,Piero Toscano,O. Traulle,Diane Tzanos,S. Wacker,Norman Wildmann,Alessandro Zaldei +67 more
TL;DR: The BLLAST (Boundary-Layer Late Afternoon and Sunset Turbulence) field campaign was conducted from 14 June to 8 July 2011 in southern France, in an area of complex and heterogeneous terrain this article.
Journal ArticleDOI
Improvement of the forecast of convective activity from the AROME-France system
Journal ArticleDOI
The ALADIN System and its canonical model configurations AROME CY41T1 and ALARO CY40T1
Piet Termonia,Piet Termonia,Claude Fischer,Eric Bazile,F. Bouyssel,Radmila Brožková,Pierre Bénard,Bogdan Bochenek,Daan Degrauwe,Daan Degrauwe,Maria Derkova,Ryad El Khatib,Rafiq Hamdi,J. Mašek,Patricia Pottier,Neva Pristov,Yann Seity,Petra Smolíková,Oldřich Španiel,Martina Tudor,Yong Wang,Christoph Wittmann,Alain Joly +22 more
TL;DR: The ALADIN System as discussed by the authors is a numerical weather prediction (NWP) system developed by the international AlADIN consortium for operational weather forecasting and research purposes. And it is based on a code that is shared with the global model IFS of the ECMWF and the ARPEGE model of Meteo-France.