Frederic Vitart spends much of his time researching Climatology, Meteorology, Forecast skill, Madden–Julian oscillation and Predictability. His Climatology research incorporates themes from Atmospheric sciences, Data assimilation and Atmospheric model. His research in Data assimilation is mostly focused on Meteorological reanalysis.
His work on Precipitation, Hindcast and Field campaign as part of general Meteorology study is frequently connected to Time range and Physical science, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. The concepts of his Hindcast study are interwoven with issues in Atmospheric Model Intercomparison Project, Climate Forecast System, Coupled model intercomparison project, ERA-40 and ECHAM. His biological study deals with issues like Quantitative precipitation forecast, which deal with fields such as Forecast verification.
His main research concerns Climatology, Meteorology, Madden–Julian oscillation, Forecast skill and Predictability. His Climatology research incorporates elements of Convection, Atmospheric sciences and Precipitation. His Meteorology study frequently links to other fields, such as Probabilistic logic.
The various areas that he examines in his Madden–Julian oscillation study include Atmosphere, Indian ocean, Teleconnection, Atmospheric model and Rossby wave. His Forecast skill research is multidisciplinary, relying on both Quantitative precipitation forecast and Atmospheric river. His work carried out in the field of Tropical cyclone brings together such families of science as Storm and Seasonal forecasting.
Frederic Vitart mainly investigates Climatology, Tropical cyclone, Madden–Julian oscillation, Predictability and Meteorology. His work deals with themes such as Climate model and Precipitation, which intersect with Climatology. His studies deal with areas such as Extratropical cyclone and Southern Hemisphere as well as Tropical cyclone.
His Madden–Julian oscillation study which covers Stratosphere that intersects with Atmosphere. In most of his Meteorology studies, his work intersects topics such as Ocean current. His Data assimilation research is multidisciplinary, incorporating perspectives in Arctic ice pack, Sea ice concentration, Lead and Forcing.
Frederic Vitart mostly deals with Climatology, Forecast skill, Meteorology, Weather forecasting and Predictability. His Climatology study incorporates themes from Madden–Julian oscillation and Natural hazard. His work in Forecast skill addresses issues such as Precipitation, which are connected to fields such as Hindcast, Arctic oscillation and Middle latitudes.
His research ties Ocean current and Meteorology together. His Weather forecasting research includes themes of Weather and climate and Climate change. The Tropical cyclone study combines topics in areas such as Typhoon and Statistical model.
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The ERA-Interim reanalysis: configuration and performance of the data assimilation system
D. P. Dee;S. M. Uppala;A. J. Simmons;Paul Berrisford.
Quarterly Journal of the Royal Meteorological Society (2011)
ERA-20C: An Atmospheric Reanalysis of the Twentieth Century
Paul Poli;Hans Hersbach;Dick P. Dee;Paul Berrisford.
Journal of Climate (2016)
Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales
Peter Bechtold;Martin Köhler;Thomas Jung;Francisco Doblas‐Reyes.
Quarterly Journal of the Royal Meteorological Society (2008)
ERA-Interim/Land: a global land surface reanalysis data set
G. Balsamo;C. Albergel;A. Beljaars;S. Boussetta.
Hydrology and Earth System Sciences (2015)
Contribution of land surface initialization to subseasonal forecast skill: first results from a multi-model experiment.
R. D. Koster;S. P.P. Mahanama;S. P.P. Mahanama;T.J. Yamada;T.J. Yamada;T.J. Yamada;Gianpaolo Balsamo.
Geophysical Research Letters (2010)
MJO Simulation Diagnostics
D Waliser;K Sperber;H Hendon;D Kim.
Journal of Climate (2009)
The Subseasonal to Seasonal (S2S) Prediction Project Database
F. Vitart;C. Ardilouze;A. Bonet;A. Brookshaw.
Bulletin of the American Meteorological Society (2017)
The Second Phase of the Global Land–Atmosphere Coupling Experiment: Soil Moisture Contributions to Subseasonal Forecast Skill
R. D. Koster;S. P. P. Mahanama;S. P. P. Mahanama;S. P. P. Mahanama;T. J. Yamada;T. J. Yamada;T. J. Yamada;Gianpaolo Balsamo.
Journal of Hydrometeorology (2011)
Evolution of ECMWF sub‐seasonal forecast skill scores
Quarterly Journal of the Royal Meteorological Society (2014)
A Framework for Assessing Operational Madden–Julian Oscillation Forecasts
J. Gottschalck;M. Wheeler;K. Weickmann;F. Vitart.
Bulletin of the American Meteorological Society (2010)
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