D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 52 Citations 31,905 112 World Ranking 1906 National Ranking 157

Overview

What is he best known for?

The fields of study he is best known for:

  • Meteorology
  • Climatology
  • Tropical cyclone

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 most cited work include:

  • The ERA-Interim reanalysis: configuration and performance of the data assimilation system (16381 citations)
  • ERA-20C: An Atmospheric Reanalysis of the Twentieth Century (514 citations)
  • Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales (396 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Climatology (77.92%)
  • Meteorology (40.91%)
  • Madden–Julian oscillation (30.52%)

What were the highlights of his more recent work (between 2018-2021)?

  • Climatology (77.92%)
  • Tropical cyclone (18.18%)
  • Madden–Julian oscillation (30.52%)

In recent papers he was focusing on the following fields of study:

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.

Between 2018 and 2021, his most popular works were:

  • Global evaluation of atmospheric river subseasonal prediction skill (28 citations)
  • Seasonal Tropical Cyclone Forecasting (20 citations)
  • Prediction and predictability of tropical intraseasonal convection: seasonal dependence and the Maritime Continent prediction barrier (20 citations)

In his most recent research, the most cited papers focused on:

  • Meteorology
  • Climatology
  • Climate change

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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)

20968 Citations

ERA-20C: An Atmospheric Reanalysis of the Twentieth Century

Paul Poli;Hans Hersbach;Dick P. Dee;Paul Berrisford.
Journal of Climate (2016)

655 Citations

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)

512 Citations

ERA-Interim/Land: a global land surface reanalysis data set

G. Balsamo;C. Albergel;A. Beljaars;S. Boussetta.
Hydrology and Earth System Sciences (2015)

425 Citations

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)

374 Citations

MJO Simulation Diagnostics

D Waliser;K Sperber;H Hendon;D Kim.
Journal of Climate (2009)

366 Citations

The Subseasonal to Seasonal (S2S) Prediction Project Database

F. Vitart;C. Ardilouze;A. Bonet;A. Brookshaw.
Bulletin of the American Meteorological Society (2017)

363 Citations

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)

287 Citations

Evolution of ECMWF sub‐seasonal forecast skill scores

Frédéric Vitart.
Quarterly Journal of the Royal Meteorological Society (2014)

225 Citations

A Framework for Assessing Operational Madden–Julian Oscillation Forecasts

J. Gottschalck;M. Wheeler;K. Weickmann;F. Vitart.
Bulletin of the American Meteorological Society (2010)

225 Citations

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