| 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 | 205 | 2014 |
| 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 | 130 | 2014 |
| 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 | 97 | 2007 |
| 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 | 89 | 2008 |
| 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 | 87 | 2007 |
| 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 | 83 | 2009 |
| 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 | 64 | 2021 |
| 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 | 62 | 2008 |
| 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 | 44 | 2014 |
| 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 | 42 | 2010 |
| 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 | 30 | 2012 |
| 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 | 29 | 2014 |
| 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 | 25 | 2016 |
| Heterogeneous correlation modeling based on the wavelet diagonal assumption and on the diffusion operator O Pannekoucke Monthly weather review 137 (9), 2995-3012, 2009 | 22 | 2009 |
| Parametric covariance dynamics for the nonlinear diffusive Burgers equation O Pannekoucke, M Bocquet, R Ménard Nonlinear Processes in Geophysics 25 (3), 481-495, 2018 | 21 | 2018 |
| 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 | 19 | 2008 |
| 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 | 18 | 2021 |
| 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 | 17 | 2020 |
| 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 Discussions 2020, 1-24, 2020 | 16 | 2020 |
| 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 | 16 | 2014 |
