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Parametric covariance dynamics for the nonlinear diffusive Burgers equation
Olivier Pannekoucke
,
Marc Bocquet
,
Richard Ménard
Journal articles
insu-03668349v1
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Producing realistic climate data with generative adversarial networks GANs
Camille Besombes
,
Olivier Pannekoucke
,
Corentin Lapeyre
,
Benjamin Sanderson
,
Olivier Thual
Journal articles
hal-03345545v1
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Toward a multivariate formulation of the parametric Kalman filter assimilation: application to a simplified chemical transport model
Antoine Perrot
,
Olivier Pannekoucke
,
Vincent Guidard
Journal articles
meteo-04129215v1
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A wavelet-based filtering of ensemble background-error variances
Olivier Pannekoucke
,
Laure Raynaud
,
Marie Farge
Quarterly Journal of the Royal Meteorological Society, 2014, 140 (678), pp.316-327. ⟨10.1002/qj.2133⟩
Journal articles
hal-01074218v1
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Genetic particle filter application to land surface temperature downscaling
Rihab Mechri
,
Catherine Ottlé
,
Olivier Pannekoucke
,
Abdelaziz Kallel
Journal articles
hal-03212359v1
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Multiscale representations: fractals, self-similar random processes and wavelets
M. Farge
,
K. Schneider
,
Olivier Pannekoucke
,
R. Nguyen Van Yen
H.J. Fernando. Handbook of Environmental Fluid Dynamics, II, Taylor and Francis, pp.311-332, 2013
Book sections
hal-01313530v1
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Filtering properties of wavelets for local background-error correlations
Olivier Pannekoucke
,
Loïk Berre
,
Gérald Desroziers
Quarterly Journal of the Royal Meteorological Society, 2007, 133 (623), pp.363-379. ⟨10.1002/qj.33⟩
Journal articles
meteo-00202094v1
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SymPKF (v1.0): a symbolic and computational toolbox for the design of parametric Kalman filter dynamics
Olivier Pannekoucke
,
Philippe Arbogast
Journal articles
insu-03668373v1
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Heterogeneous correlation modelling based on the wavelet diagonal assumption and on the diffusion operator
Olivier Pannekoucke
Journal articles
meteo-00429083v1
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Automated NN generation: from the symbolic computation to the design of NN architectures for numerical predictions
Olivier Pannekoucke
,
Ronan Fablet
ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction, Oct 2020, Reading, United Kingdom
Conference papers
hal-02927367v1
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DATA ASSIMILATION ON A FLOOD WAVE PROPAGATION MODEL : EMULATION OF A KALMAN FILTER ALGORITHM
Sébastien Barthélémy
,
Sophie Ricci
,
Olivier Pannekoucke
,
Olivier Thual
,
Pierre-Olivier Malaterre
Simhydro 2012, Sep 2012, Nice, France
Conference papers
hal-01335907v1
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Modélisation des structures locales de covariance des erreurs de prévision à l'aide des ondelettes
Olivier Pannekoucke
Océan, Atmosphère. Université Paul Sabatier - Toulouse III, 2008. Français. ⟨NNT : ⟩
Theses
tel-00285515v1
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Downscaling Meteosat Land Surface Temperature over a Heterogeneous Landscape Using a Data Assimilation Approach
Rihab Mechri
,
Catherine Ottlé
,
Olivier Pannekoucke
,
Abdelaziz Kallel
,
Fabienne Maignan
,
et al.
Journal articles
hal-01473122v1
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An anisotropic formulation of the parametric Kalman filter assimilation
Olivier Pannekoucke
Journal articles
insu-03668383v1
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A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective
Olivier Pannekoucke
,
Richard Ménard
,
Mohammad El Aabaribaoune
,
Matthieu Plu
Journal articles
insu-03668384v1
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Joint learning of variational data assimilation models and solvers
Ronan Fablet
,
Lucas Drumetz
,
François Rousseau
,
Olivier Pannekoucke
,
Bertrand Chapron
,
et al.
ECMWF-ESA 2020 - Workshop on Machine Learning for Earth System Observation and Prediction, Oct 2020, Reading, United Kingdom
Conference papers
hal-02927356v1
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Learning Variational Data Assimilation Models and Solvers
Ronan Fablet
,
Bertrand Chapron
,
Lucas Drumetz
,
Etienne Mémin
,
Olivier Pannekoucke
,
et al.
Journal of Advances in Modeling Earth Systems, 2021, 13 (10), pp.article n° e2021MS002572. ⟨10.1029/2021MS002572⟩
Journal articles
hal-02906798v1
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Parametric Kalman filter for chemical transport models
Olivier Pannekoucke
,
Sophie Ricci
,
Sebastien Barthelemy
,
Richard Ménard
,
Olivier Thual
Journal articles
insu-03668258v1
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Object-oriented processing of CRM precipitation forecasts by stochastic filtering
Philippe Arbogast
,
Olivier Pannekoucke
,
Laure Raynaud
,
Renaud Lalanne
,
Etienne Mémin
Quarterly Journal of the Royal Meteorological Society, 2016, 142 (700), pp.2827-2838. ⟨10.1002/qj.2871⟩
Journal articles
hal-01378366v1
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Producing realistic climate data with generative adversarial networks
Camille Besombes
,
Olivier Pannekoucke
,
Corentin Lapeyre
,
Benjamin Sanderson
,
Olivier Thual
Journal articles
insu-03668378v1
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Background error correlation length-scale estimates and their sampling statistics
Olivier Pannekoucke
,
Loïk Berre
,
Gérald Desroziers
Quarterly Journal of the Royal Meteorological Society, 2008, 134, pp.497-508. ⟨10.1002/qj.212⟩
Journal articles
meteo-00285507v1
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Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model.
E. Emili
,
B. Barret
,
S. Massart
,
E. Le Flochmoen
,
A. Piacentini
,
et al.
Journal articles
hal-01101590v1
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Estimation of the local diffusion tensor and normalization for heterogeneous correlation modelling using a diffusion equation
Olivier Pannekoucke
,
S. Massart
Quarterly Journal of the Royal Meteorological Society, 2008, 134, pp.1425--1438. ⟨10.1002/qj.288⟩
Journal articles
meteo-00359244v1
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Structure of the transport uncertainty in mesoscale inversions of CO2 sources and sinks using ensemble model simulations
T. Lauvaux
,
Olivier Pannekoucke
,
C. Sarrat
,
F. Chevallier
,
P. Ciais
,
et al.
Journal articles
hal-02926917v1
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