Pierre Tandeo
Pierre Tandeo
IMT-Atlantique, Lab-STICC, RIKEN
Verified email at - Homepage
Cited by
Cited by
EddyNet: A deep neural network for pixel-wise classification of oceanic eddies
R Lguensat, M Sun, R Fablet, P Tandeo, E Mason, G Chen
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
The analog data assimilation
R Lguensat, P Tandeo, P Ailliot, M Pulido, R Fablet
Monthly Weather Review 145 (10), 4093-4107, 2017
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
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ...
IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023
Estimating model‐error covariances in nonlinear state‐space models using Kalman smoothing and the expectation–maximization algorithm
D Dreano, P Tandeo, M Pulido, B Ait‐El‐Fquih, T Chonavel, I Hoteit
Quarterly Journal of the Royal Meteorological Society 143 (705), 1877-1885, 2017
Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean
G Maze, H Mercier, R Fablet, P Tandeo, ML Radcenco, P Lenca, ...
Progress in Oceanography 151, 275-292, 2017
A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode
C Wang, A Mouche, P Tandeo, JE Stopa, N Longépé, G Erhard, ...
Geoscience Data Journal 6 (2), 105-115, 2019
DADA: data assimilation for the detection and attribution of weather and climate-related events
A Hannart, A Carrassi, M Bocquet, M Ghil, P Naveau, M Pulido, J Ruiz, ...
Climatic Change 136, 155-174, 2016
Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods
M Pulido, P Tandeo, M Bocquet, A Carrassi, M Lucini
Tellus A: Dynamic Meteorology and Oceanography 70 (1), 1-17, 2018
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
Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies
C Wang, P Tandeo, A Mouche, JE Stopa, V Gressani, N Longepe, ...
Remote Sensing of Environment 234, 111457, 2019
Segmentation of mesoscale ocean surface dynamics using satellite SST and SSH observations
P Tandeo, B Chapron, S Ba, E Autret, R Fablet
IEEE transactions on geoscience and remote sensing 52 (7), 4227-4235, 2013
Nowcasting solar irradiance using an analog method and geostationary satellite images
A Ayet, P Tandeo
Solar Energy 164, 301-315, 2018
Offline parameter estimation using EnKF and maximum likelihood error covariance estimates: Application to a subgrid‐scale orography parametrization
P Tandeo, M Pulido, F Lott
Quarterly journal of the royal meteorological society 141 (687), 383-395, 2015
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
SST spatial anisotropic covariances from METOP-AVHRR data
P Tandeo, E Autret, B Chapron, R Fablet, R Garello
Remote Sensing of Environment 141, 144-148, 2014
Semantic segmentation of metoceanic processes using SAR observations and deep learning
A Colin, R Fablet, P Tandeo, R Husson, C Peureux, N Longépé, ...
Remote Sensing 14 (4), 851, 2022
Model error covariance estimation in particle and ensemble Kalman filters using an online expectation–maximization algorithm
TJ Cocucci, M Pulido, M Lucini, P Tandeo
Quarterly Journal of the Royal Meteorological Society 147 (734), 526-543, 2021
Automated geophysical classification of sentinel-1 wave mode sar images through deep-learning
C Wang, A Mouche, P Tandeo, J Stopa, B Chapron, R Foster, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Four-dimensional temperature, salinity and mixed-layer depth in the Gulf Stream, reconstructed from remote-sensing and in situ observations with neural networks
E Pauthenet, L Bachelot, K Balem, G Maze, AM Tréguier, F Roquet, ...
Ocean Science 18 (4), 1221-1244, 2022
The system can't perform the operation now. Try again later.
Articles 1–20