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olivier pannekoucke
olivier pannekoucke
Meteo-France/CNRS - CNRM - UMR 3589
Adresse e-mail validée de meteo.fr - Page d'accueil
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A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production, part I: Deterministic forecast of hourly production
M Zamo, O Mestre, P Arbogast, O Pannekoucke
Solar Energy 105, 792-803, 2014
2052014
A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production. Part II: Probabilistic forecast of daily production
M Zamo, O Mestre, P Arbogast, O Pannekoucke
Solar Energy 105, 804-816, 2014
1332014
A variational assimilation ensemble and the spatial filtering of its error covariances: Increase of sample size by local spatial averaging
L Berre
Proceedings of the ECMWF workshop on Flow-deoendent aspects of Data …, 2007
982007
Background‐error correlation length‐scale estimates and their sampling statistics
O Pannekoucke, L Berre, G Desroziers
Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2008
892008
Filtering properties of wavelets for local background‐error correlations
O Pannekoucke, L Berre, G Desroziers
Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2007
872007
Structure of the transport uncertainty in mesoscale inversions of CO2 sources and sinks using ensemble model simulations
T Lauvaux, O Pannekoucke, C Sarrat, F Chevallier, P Ciais, J Noilhan, ...
Biogeosciences 6 (6), 1089-1102, 2009
842009
Learning variational data assimilation models and solvers
R Fablet, B Chapron, L Drumetz, E Mémin, O Pannekoucke, F Rousseau
Journal of Advances in Modeling Earth Systems 13 (10), e2021MS002572, 2021
662021
Estimation of the local diffusion tensor and normalization for heterogeneous correlation modelling using a diffusion equation
O Pannekoucke, S Massart
Quarterly Journal of the Royal Meteorological Society 134 (635), 1425-1438, 2008
622008
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, L El Amraoui, ...
Atmospheric Chemistry and Physics 14 (1), 177-198, 2014
442014
On the merits of using a 3D-FGAT assimilation scheme with an outer loop for atmospheric situations governed by transport
S Massart, B Pajot, A Piacentini, O Pannekoucke
Monthly Weather Review 138 (12), 4509-4522, 2010
422010
Importance of using ensemble estimated background error covariances for the quality of atmospheric ozone analyses
S Massart, A Piacentini, O Pannekoucke
Quarterly Journal of the Royal Meteorological Society 138 (665), 889-905, 2012
302012
Genetic particle filter application to land surface temperature downscaling
R Mechri, C Ottlé, O Pannekoucke, A Kallel
Journal of Geophysical Research: Atmospheres 119 (5), 2131-2146, 2014
292014
Parametric Kalman filter for chemical transport models
O Pannekoucke, S Ricci, S Barthelemy, R Ménard, O Thual
Tellus A: Dynamic Meteorology and Oceanography 68 (1), 31547, 2016
252016
Heterogeneous correlation modeling based on the wavelet diagonal assumption and on the diffusion operator
O Pannekoucke
Monthly weather review 137 (9), 2995-3012, 2009
222009
Parametric covariance dynamics for the nonlinear diffusive Burgers equation
O Pannekoucke, M Bocquet, R Ménard
Nonlinear Processes in Geophysics 25 (3), 481-495, 2018
212018
Producing realistic climate data with generative adversarial networks
C Besombes, O Pannekoucke, C Lapeyre, B Sanderson, O Thual
Nonlinear Processes in Geophysics 28 (3), 347-370, 2021
192021
Flow-dependent error covariances from variational assimilation ensembles on global and regional domains
G Desroziers, L Berre, O Pannekoucke, S Stefanescu, P Brousseau, ...
Hirlam Technical ReportY 68, 2-22, 2008
192008
PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations
O Pannekoucke, R Fablet
Geoscientific Model Development 13 (7), 3373-3382, 2020
172020
A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective
O Pannekoucke, R Ménard, M El Aabaribaoune, M Plu
Nonlinear Processes in Geophysics 28 (1), 1-22, 2021
162021
Modelling of local length‐scale dynamics and isotropizing deformations
O Pannekoucke, E Emili, O Thual
Quarterly Journal of the Royal Meteorological Society 140 (681), 1387-1398, 2014
162014
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