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authFullName_s : Pierre Ailliot
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LEARNING THE SPATIO-TEMPORAL RELATIONSHIP BETWEEN WIND AND SIGNIFICANT WAVE HEIGHT USING DEEP LEARNING

Valérie Monbet , Said Obakrim , Pierre Ailliot , Nicolas Raillard
2022
Preprints, Working Papers, ... hal-03825412v1
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Comparison of simulation-based algorithms for parameter estimation and state reconstruction in nonlinear state-space models

Thi Tuyet Trang Chau , Pierre Ailliot , Valérie Monbet , Pierre Tandeo
Discrete and Continuous Dynamical Systems - Series S, 2022, pp.1-24. ⟨10.3934/dcdss.2022054⟩
Journal articles hal-03616079v1

Site selection and system sizing of desalination plants powered with renewable energy sources based on a web-GIS platform

Eftichios Koutroulis , George Petrakis , Vicky Agou , Athanassios Malisovas , Dionissios Hristopulos et al.
International Journal of Energy Sector Management, 2022, 16 (3), pp.469-492. ⟨10.1108/IJESM-04-2021-0018⟩
Journal articles hal-03378232v1
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Selection of dynamical model using analog data assimilation

Juan Ruiz , Pierre Ailliot , Thi Tuyet Trang Chau , Valérie Monbet , Pierre Tandeo et al.
Climate Informatics 2020, Sep 2020, Oxford, United Kingdom
Conference papers hal-02927329v1

Dynamical partitioning of directional ocean wave spectra.

Pierre Ailliot , Valérie Monbet , Christophe Maisondieu
Probabilistic Engineering Mechanics, 2013, 33, pp.95-102. ⟨10.1016/j.probengmech.2013.03.002⟩
Journal articles hal-01083070v1
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Modèles autorégressifs à changements de régimes markoviens. Applications aux séries tempo-relles de vent

Pierre Ailliot
Mathématiques [math]. Université Rennes 1, 2004. Français. ⟨NNT : ⟩
Theses tel-00007602v1
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Non-negative Decomposition of Sea Surface Dynamics from Multi-source Ocean Remote Sensing Data

Manuel Lopez Radcenco , Abdeldjalil Aissa El Bey , Pierre Ailliot , Pierre Tandeo , Ronan Fablet et al.
ACO 2016 : A connected ocean: new approaches, new technologies, new challenges for knowledge of ocean processes, Oct 2016, Brest, France. 52, 2016
Conference poster hal-01611018v1
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Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a Review

Pierre Tandeo , Pierre Ailliot , Marc Bocquet , Alberto Carrassi , Takemasa Miyoshi et al.
2018
Preprints, Working Papers, ... hal-01867958v1
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Décomposition Non-négative de Dynamiques Géophysiques

Manuel Lopez Radcenco , Abdeldjalil Aissa El Bey , Pierre Ailliot , Ronan Fablet
GRETSI 2017 : 26ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2017, Juan-Les-Pins, France
Conference papers hal-01611337v1
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Non-negative decomposition of geophysical dynamics

Manuel Lopez Radcenco , Abdeldjalil Aissa El Bey , Pierre Ailliot , Ronan Fablet
ESANN 2017 : 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium
Conference papers hal-01596464v1
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An algorithm for non-parametric estimation in state–space models

Thi Tuyet Trang Chau , Pierre Ailliot , Valérie Monbet
Computational Statistics and Data Analysis, 2021, 153, pp.107062. ⟨10.1016/j.csda.2020.107062⟩
Journal articles hal-02975833v1
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Em algorithm for generalized ridge regression with spatial covariates

Valérie Monbet , Said Obakrim , Nicolas Raillard , Pierre Ailliot
2022
Preprints, Working Papers, ... hal-03825411v1
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Analog forecasting (AnDA) and large-ensemble ocean simulations to improve satellite-derived gridded products

Yicun Zhen , Pierre Tandeo , Stéphanie Leroux , Julien Le Sommer , Pierre Ailliot et al.
OceanPredict '19 - GODAE OceanView Symposium, May 2019, Halifax, Canada. pp.1
Conference poster hal-02156704v1
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Consistency of the maximum likelihood estimate for Non-homogeneous Markov-switching models

Pierre Ailliot , Françoise Pene
2013
Preprints, Working Papers, ... hal-00831448v2

L1-convergence of smoothing densities in non parametric state space models

Valérie Monbet , Pierre Ailliot , Pierre-François Marteau
Statistical Inference for Stochastic Processes, 2008, 11 (3), pp.311-325
Journal articles hal-00368995v1
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Markov-switching autoregressive models for wind time series

Pierre Ailliot , Valérie Monbet
Environmental Modelling and Software, 2012, 30, pp.92 - 101. ⟨10.1016/j.envsoft.2011.10.011⟩
Journal articles hal-01083071v1
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Analog Data Assimilation for the Selection of Suitable General Circulation Models

Juan Ruiz , Pierre Ailliot , Pierre Le Bras , Valérie Monbet , Florian Sévellec et al.
2022
Preprints, Working Papers, ... hal-03685531v1

Analog assimilation for high-dimensional geophysical dynamics

Ronan Fablet , Redouane Lguensat , Phi Huynh Viet , Pierre Ailliot , Bertrand Chapron et al.
DSE 2017 : Workshop on Data Science and Environment, Jul 2017, Brest, France
Conference papers hal-01586349v1

Global Observations of Ocean-Bottom Subinertial Current Dissipation

Corwin J. Wright , Robert B. Scott , Darran Furnival , Pierre Ailliot , Franck Vermet et al.
Journal of Physical Oceanography, 2013, 43 (2), pp.402-417. ⟨10.1175/JPO-D-12-082.1⟩
Journal articles hal-00853221v1
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Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model

Pierre Tandeo , Ronan Fablet , Pierre Ailliot
ICIP 2014 : 21st IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.2968 - 2972, ⟨10.1109/ICIP.2014.7025600⟩
Conference papers hal-01188818v1
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Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures

Redouane Lguensat , Pierre Tandeo , Ronan Fablet , Pierre Ailliot
ICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec City, Canada. pp.2488-2492, ⟨10.1109/ICIP.2015.7351615⟩
Conference papers hal-01271173v1
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Non-negative decomposition of linear relationships: application to multi-source ocean remote sensing data

Manuel Lopez Radcenco , Abdeldjalil Aissa El Bey , Pierre Ailliot , Pierre Tandeo , Ronan Fablet et al.
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.4179-4183, ⟨10.1109/ICASSP.2016.7472464⟩
Conference papers hal-01298201v1
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An Exemplar-based Hidden Markov Model framework for nonlinear state-space models

Redouane Lguensat , Ronan Fablet , Pierre Ailliot , Pierre Tandeo
EUSIPCO 2016 : European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1 - 5, ⟨10.1109/EUSIPCO.2016.7760667⟩
Conference papers hal-01444213v1

An autoregressive model with time-varying coefficients for wind fields

Valérie Monbet , Pierre Ailliot , Marc Prevosto
Environmetrics, 2006, 17, pp. 107-117
Journal articles hal-00492400v1
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Non-homogeneous hidden Markov-switching models for wind time series

Pierre Ailliot , Julie Bessac , Valérie Monbet , Françoise Pene
Journal of Statistical Planning and Inference, 2015, 160, pp.75-88. ⟨10.1016/j.jspi.2014.12.005⟩
Journal articles hal-00974716v2
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The Analog Ensemble Kalman Filter and Smoother

Pierre Tandeo , Pierre Ailliot , Ronan Fablet , Juan Ruiz , François Rousseau et al.
CI 2014 : 4th International Workshop on Climate Informatics, Sep 2014, Boulder, United States
Conference papers hal-01188825v1
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Stochastic weather generators: an overview of weather type models

Denis Allard , Pierre Ailliot , Valérie Monbet , Philippe Naveau
Journal de la Société Française de Statistique, 2015, 156 (1), pp.101-113
Journal articles hal-02641587v1
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Deep learning for statistical downscaling of sea states

Marceau Michel , Said Obakrim , Nicolas Raillard , Pierre Ailliot , Valérie Monbet et al.
Advances in Statistical Climatology, Meteorology and Oceanography, 2022, 8, pp.83 - 95. ⟨10.5194/ascmo-8-83-2022⟩
Journal articles hal-03825410v1
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Non-negative Decomposition of Geophysical Dynamics

Manuel Lopez Radcenco , Ronan Fablet , Abdeldjalil Aissa El Bey , Pierre Ailliot
GODAE OceanView International School 2017, Oct 2017, Palma, Spain
Conference poster hal-01739801v1
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A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation

Pierre Tandeo , Pierre Ailliot , Marc Bocquet , Alberto Carrassi , Takemasa Miyoshi et al.
Monthly Weather Review, 2020, 148 (10), pp.3973-3994. ⟨10.1175/MWR-D-19-0240.1⟩
Journal articles hal-02922301v1