| Statistical Postprocessing of Ensemble Forecasts S Vannitsem, D Wilks, J Messner Elsevier, ISBN: 978-0-12-812372-0, 2018 | 131 | 2018 |
| Skill of medium-range hydrological ensemble predictions E Roulin, S Vannitsem Journal of Hydrometeorology 6 (5), 729-744, 2005 | 126 | 2005 |
| Modeling of rainfall time series using two‐state renewal processes and multifractals F Schmitt, S Vannitsem, A Barbosa Journal of Geophysical Research: Atmospheres 103 (D18), 23181-23193, 1998 | 125 | 1998 |
| Statistical postprocessing for weather forecasts–review, challenges and avenues in a big data world S Vannitsem, JB Bremnes, J Demaeyer, GR Evans, J Flowerdew, S Hemri, ... Bulletin of the American Meteorological Society, 1-44, 2020 | 109 | 2020 |
| Rapid attribution of heavy rainfall events leading to the severe flooding in Western Europe during July 2021 F Kreienkamp, SY Philip, JS Tradowsky, SF Kew, P Lorenz, J Arrighi, ... World Weather Atribution, 2021 | 105 | 2021 |
| One-way nested regional climate simulations and domain size S Vannitsem, F Chomé Journal of climate 18 (1), 229-233, 2005 | 86 | 2005 |
| Lyapunov vectors and error growth patterns in a T21L3 quasigeostrophic model S Vannitsem, C Nicolis Journal of the atmospheric sciences 54 (2), 347-361, 1997 | 86 | 1997 |
| Postprocessing of ensemble precipitation predictions with extended logistic regression based on hindcasts E Roulin, S Vannitsem Monthly weather review 140 (3), 874-888, 2012 | 75 | 2012 |
| The structure of climate variability across scales CLE Franzke, S Barbosa, R Blender, HB Fredriksen, T Laepple, ... Reviews of Geophysics 58 (2), e2019RG000657, 2020 | 67 | 2020 |
| Statistical and dynamical properties of covariant Lyapunov vectors in a coupled atmosphere-ocean model—Multiscale effects, geometric degeneracy, and error dynamics S Vannitsem, V Lucarini Journal of Physics A: Mathematical and Theoretical 49 (22), 224001, 2016 | 59 | 2016 |
| Ensemble post‐processing using member‐by‐member approaches: theoretical aspects B Van Schaeybroeck, S Vannitsem Quarterly Journal of the Royal Meteorological Society 141 (688), 807-818, 2015 | 58 | 2015 |
| Accounting for model error in variational data assimilation: A deterministic formulation A Carrassi, S Vannitsem Monthly Weather Review 138 (9), 3369-3386, 2010 | 56 | 2010 |
| Dynamics of prediction errors under the combined effect of initial condition and model errors C Nicolis, RAP Perdigao, S Vannitsem Journal of the atmospheric sciences 66 (3), 766-778, 2009 | 55 | 2009 |
| Short-term dynamics of model errors S Vannitsem, Z Toth Journal of the atmospheric sciences 59 (17), 2594-2604, 2002 | 54 | 2002 |
| The CORDEX. be initiative as a foundation for climate services in Belgium P Termonia, B Van Schaeybroeck, L De Cruz, R De Troch, S Caluwaerts, ... Climate Services 11, 49-61, 2018 | 51 | 2018 |
| Predictability of large-scale atmospheric motions: Lyapunov exponents and error dynamics S Vannitsem Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (3), 032101, 2017 | 48 | 2017 |
| State and parameter estimation with the extended Kalman filter: an alternative formulation of the model error dynamics A Carrassi, S Vannitsem Quarterly Journal of the Royal Meteorological Society 137 (655), 435-451, 2011 | 48 | 2011 |
| Détection et modélisation des sécheresses au Sahel S Vannitsem, G Demaree Hydrologie continentale 6 (2), 155-171, 1991 | 47 | 1991 |
| Short‐range predictability of the atmosphere: Mechanisms for superexponential error growth C Nicolis, S Vannitsem, JF Royer Quarterly Journal of the Royal Meteorological Society 121 (523), 705-722, 1995 | 45 | 1995 |
| Low-frequency variability and heat transport in a low-order nonlinear coupled ocean–atmosphere model S Vannitsem, J Demaeyer, L De Cruz, M Ghil Physica D: Nonlinear Phenomena 309, 71-85, 2015 | 39 | 2015 |
Bert Van SchaeybroeckAdresse e-mail validée de meteo.be
