Vitart, Frédéric

The ERA‐Interim reanalysis: configuration and performance of the data assimilation system

Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society

Meteorological Phenomena and SimulationsOceanographic and Atmospheric Processes

Cited by 24,480

The Subseasonal to Seasonal (S2S) Prediction Project Database

Vitart, F., Ardilouze, C., Bonet, A., Brookshaw, A., Chen, M., Codorean, C., Déqué, M., Ferranti, L., Fucile, E., Fuentes, M., et al. (2017) · Bulletin of the American Meteorological Society

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 1,096

The sub-seasonal to seasonal prediction project (S2S) and the prediction of extreme events

Vitart, F., & Robertson, A. W. (2018) · npj Climate and Atmospheric Science

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 455

Prediction of the Madden–Julian Oscillation: A Review

Kim, H., Vitart, F., & Waliser, D. E. (2018) · Journal of Climate

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 181

Advances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe

Domeisen, D. I. V., White, C. J., Afargan-Gerstman, H., Muñoz, Á. G., Janiga, M. A., Vitart, F., Wulff, C. O., Antoine, S., Ardilouze, C., Batté, L., et al. (2022) · Bulletin of the American Meteorological Society

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 117

Outcomes of the WMO Prize Challenge to Improve Subseasonal to Seasonal Predictions Using Artificial Intelligence

Vitart, F., Robertson, A. W., Spring, A., Pinault, F., Roškar, R., Cao, W., Bech, S., Bienkowski, A., Caltabiano, N., De Coning, E., et al. (2022) · Bulletin of the American Meteorological Society

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 42

Evaluation of ECMWF forecasts, including the 2018 upgrade

Haiden, T., Janousek, M., Bidlot, J., Buizza, R., Ferranti, L., Prates, F., & Vitart, F. (2018) · ECMWF

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 32

Evaluation of ECMWF forecasts, including the 2021 upgrade

Haiden, T., Janousek, M., Vitart, F., Ben Bouallègue, Z., Ferranti, L., & Prates, F. (2021) · ECMWF

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 17