Stochastic weather generators: an overview of weather type models P Ailliot, D Allard, V Monbet, P Naveau
Journal de la société française de statistique 156 (1), 101-113, 2015
239 2015 Markov-switching autoregressive models for wind time series P Ailliot, V Monbet
Environmental Modelling & Software 30, 92-101, 2012
183 2012 The analog data assimilation R Lguensat, P Tandeo, P Ailliot, M Pulido, R Fablet
Monthly Weather Review 145 (10), 4093-4107, 2017
176 2017 Survey of stochastic models for wind and sea state time series V Monbet, P Ailliot, M Prevosto
Probabilistic engineering mechanics 22 (2), 113-126, 2007
134 2007 Space–time modelling of precipitation by using a hidden Markov model and censored Gaussian distributions P Ailliot, C Thompson, P Thomson
Journal of the Royal Statistical Society Series C: Applied Statistics 58 (3 …, 2009
123 2009 An autoregressive model with time‐varying coefficients for wind fields P Ailliot, V Monbet, M Prevosto
Environmetrics 17 (2), 107-117, 2006
101 2006 A review of innovation-based methods to jointly estimate model and observation error covariance matrices in ensemble data assimilation P Tandeo, P Ailliot, M Bocquet, A Carrassi, T Miyoshi, M Pulido, Y Zhen
Monthly Weather Review 148 (10), 3973-3994, 2020
89 2020 Lee wave generation rates in the deep ocean CJ Wright, RB Scott, P Ailliot, D Furnival
Geophysical Research Letters 41 (7), 2434-2440, 2014
67 2014 Non-homogeneous hidden Markov-switching models for wind time series P Ailliot, J Bessac, V Monbet, F Pene
Journal of Statistical Planning and Inference 160, 75-88, 2015
60 2015 Combining analog method and ensemble data assimilation: application to the Lorenz-63 chaotic system P Tandeo, P Ailliot, J Ruiz, A Hannart, B Chapron, A Cuzol, V Monbet, ...
Machine Learning and Data Mining Approaches to Climate Science: proceedings …, 2015
58 2015 Mixed methods for fitting the GEV distribution P Ailliot, C Thompson, P Thomson
Water Resources Research 47 (5), 2011
50 2011 Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature V Monbet, P Ailliot
Computational Statistics & Data Analysis 108, 40-51, 2017
44 2017 Long term object drift forecast in the ocean with tide and wind P Ailliot, E Frenod, V Monbet
Multiscale Modeling & Simulation 5 (2), 514-531, 2006
38 2006 Linear Gaussian state-space model with irregular sampling: application to sea surface temperature P Tandeo, P Ailliot, E Autret
Stochastic Environmental Research and Risk Assessment 25, 793-804, 2011
37 2011 Space–time models for moving fields with an application to significant wave height fields P Ailliot, A Baxevani, A Cuzol, V Monbet, N Raillard
Environmetrics 22 (3), 354-369, 2011
35 2011 Global observations of ocean-bottom subinertial current dissipation CJ Wright, RB Scott, D Furnival, P Ailliot, F Vermet
Journal of Physical Oceanography 43 (2), 402-417, 2013
33 2013 Comparison of hidden and observed regime-switching autoregressive models for ( J Bessac, P Ailliot, J Cattiaux, V Monbet
Advances in Statistical Climatology, Meteorology and Oceanography 2 (1), 1-16, 2016
25 2016 Consistency of the maximum likelihood estimate for non-homogeneous Markov–switching models P Ailliot, F Pene
ESAIM: Probability and Statistics 19, 268-292, 2015
23 2015 Joint estimation of model and observation error covariance matrices in data assimilation: a review P Tandeo, P Ailliot, M Bocquet, A Carrassi, T Miyoshi, M Pulido, Y Zhen
22 2018 Dynamical partitioning of directional ocean wave spectra P Ailliot, C Maisondieu, V Monbet
Probabilistic Engineering Mechanics 33, 95-102, 2013
22 2013 