Stéphane Vannitsem
Stéphane Vannitsem
Researcher, Royal Meteorological Institute of Belgium
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Cited by
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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
Skill of medium-range hydrological ensemble predictions
E Roulin, S Vannitsem
Journal of Hydrometeorology 6 (5), 729-744, 2005
One-way nested regional climate simulations and domain size
S Vannitsem, F Chomé
Journal of climate 18 (1), 229-233, 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
Postprocessing of ensemble precipitation predictions with extended logistic regression based on hindcasts
E Roulin, S Vannitsem
Monthly weather review 140 (3), 874-888, 2012
Statistical Postprocessing of Ensemble Forecasts
S Vannitsem, D Wilks, J Messner
Elsevier, ISBN: 978-0-12-812372-0, 2018
Short-term dynamics of model errors
S Vannitsem, Z Toth
Journal of the atmospheric sciences 59 (17), 2594-2604, 2002
Accounting for model error in variational data assimilation: A deterministic formulation
A Carrassi, S Vannitsem
Monthly Weather Review 138 (9), 3369-3386, 2010
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
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
Détection et modélisation des sécheresses au Sahel
S Vannitsem, G DEMAREE
Hydrologie continentale 6 (2), 155-171, 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
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
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
Predictability of large-scale atmospheric motions: Lyapunov exponents and error dynamics
S Vannitsem
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (3), 032101, 2017
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
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
Bias correction and post-processing under climate change
S Vannitsem
Nonlinear Processes in Geophysics 18 (6), 911-924, 2011
The maximum likelihood ensemble filter performances in chaotic systems
A Carrassi, S Vannitsem, D Zupanski, M Zupanski
Tellus A: Dynamic Meteorology and Oceanography 61 (5), 587-600, 2008
Spatial dependences among precipitation maxima over Belgium
S Vannitsem, P Naveau
Nonlinear Processes in geophysics 14 (5), 621-630, 2007
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