F
Frederic Vitart
Researcher at European Centre for Medium-Range Weather Forecasts
Publications - 148
Citations - 32707
Frederic Vitart is an academic researcher from European Centre for Medium-Range Weather Forecasts. The author has contributed to research in topics: Forecast skill & Madden–Julian oscillation. The author has an hindex of 48, co-authored 129 publications receiving 28294 citations. Previous affiliations of Frederic Vitart include Princeton University.
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Journal ArticleDOI
The ERA-Interim reanalysis: configuration and performance of the data assimilation system
Dick Dee,S. Uppala,Adrian Simmons,Paul Berrisford,Paul Poli,Shinya Kobayashi,Ulf Andrae,Magdalena Balmaseda,Gianpaolo Balsamo,Peter Bauer,Peter Bechtold,Anton Beljaars,L. van de Berg,Jean Bidlot,Niels Bormann,C. Delsol,Rossana Dragani,Manuel Fuentes,Alan J. Geer,Leopold Haimberger,Sean Healy,Hans Hersbach,Elías Hólm,Lars Isaksen,P. Kallberg,Martin Köhler,Marco Matricardi,A. P. McNally,B. M. Monge-Sanz,Jean-Jacques Morcrette,B.-K. Park,Carole Peubey,P. de Rosnay,Christina Tavolato,Jean-Noël Thépaut,Frederic Vitart +35 more
TL;DR: ERA-Interim as discussed by the authors is the latest global atmospheric reanalysis produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), which will extend back to the early part of the twentieth century.
Journal ArticleDOI
ERA-20C: An Atmospheric Reanalysis of the Twentieth Century
Paul Poli,Hans Hersbach,Dick Dee,Paul Berrisford,Adrian Simmons,Frederic Vitart,Patrick Laloyaux,David G. H. Tan,Carole Peubey,Jean-Noël Thépaut,Yannick Trémolet,Elías Hólm,Massimo Bonavita,Lars Isaksen,Michael Fisher +14 more
TL;DR: The ERA-20C water cycle features stable precipitation minus evaporation global averages and no spurious jumps or trends as mentioned in this paper, and the assimilation of observations adds realism on synoptic time scales.
Journal ArticleDOI
The Subseasonal to Seasonal (S2S) Prediction Project Database
Frederic Vitart,Constantin Ardilouze,A. Bonet,Anca Brookshaw,M. Chen,C. Codorean,Michel Déqué,Laura Ferranti,E. Fucile,Manuel Fuentes,Harry H. Hendon,J. Hodgson,H.-S. Kang,Arun Kumar,Hai Lin,Guoqiang Liu,Xiangwen Liu,Piero Malguzzi,I. Mallas,M. Manoussakis,D. Mastrangelo,Craig MacLachlan,Peter McLean,A. Minami,R. Mladek,Tetsuo Nakazawa,S. Najm,Y. Nie,Michel Rixen,Andrew W. Robertson,Paolo Ruti,C. Sun,Yuhei Takaya,Mikhail A. Tolstykh,F. Venuti,Duane E. Waliser,Steven J. Woolnough,Tongwen Wu,D.-J. Won,H. Xiao,R. B. Zaripov,L. Zhang +41 more
TL;DR: The Subseasonal to Seasonal (S2S) Prediction research project has been established by the World Weather Research Programme/World Climate Research Programme as discussed by the authors, which is the main deliverable of this project is the establishment of an extensive database containing sub-seasonal (up to 60 days) forecasts, 3 weeks behind real time, and reforecasts from 11 operational centers, modeled in part on the The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE) database for medium-range forecasts.
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Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales
Peter Bechtold,Martin Köhler,Thomas Jung,Francisco J. Doblas-Reyes,Martin Leutbecher,Mark J. Rodwell,Frederic Vitart,Gianpaolo Balsamo +7 more
TL;DR: In this article, an improved version of the ECMWF model is proposed to simulate atmospheric variability with a variable convective adjustment time-scale, a convective entrainment rate proportional to the environmental relative humidity, as well as free tropospheric diffusion coefficients for heat and momentum based on Monin-Obukhov functional dependencies.
Journal ArticleDOI
ERA-Interim/Land: a global land surface reanalysis data set
Gianpaolo Balsamo,Clément Albergel,Anton Beljaars,Souhail Boussetta,Eric Brun,Hannah Cloke,Dick Dee,Emanuel Dutra,Joaquín Muñoz-Sabater,Florian Pappenberger,P. de Rosnay,Timothy N. Stockdale,Frederic Vitart +12 more
TL;DR: The ERA-Interim/Land dataset as discussed by the authors provides a global integrated and coherent estimate of soil moisture and snow water equivalent, which can also be used for the initialization of numerical weather prediction and climate models.