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

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.
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The Subseasonal to Seasonal (S2S) Prediction Project Database

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

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

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.