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Pierre Tandeo, Associate Professor at IMT Atlantique


https://tandeo.wordpress.com/

https://www.researchgate.net/

https://github.com/ptandeo


Journal articles37 documents

  • Aurélien Colin, Ronan Fablet, Pierre Tandeo, Romain Husson, Charles Peureux, et al.. Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning. Remote Sensing, MDPI, 2022, 14 (4), pp.851. ⟨10.3390/rs14040851⟩. ⟨hal-03616058⟩
  • Etienne Pauthenet, Loïc Bachelot, Kevin Balem, Guillaume Maze, Anne-Marie Tréguier, et al.. Four-dimensional temperature, salinity and mixed layer depth in the Gulf Stream, reconstructed from remote sensing and in situ observations with neural networks. Ocean Science, European Geosciences Union, 2022, ⟨10.5194/egusphere-2022-25⟩. ⟨hal-03685539⟩
  • Carlos Granero-Belinchon, Stéphane G. Roux, Nicolas B. Garnier, Pierre Tandeo, Bertrand Chapron, et al.. Two-dimensional structure functions for characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images. Remote Sensing Letters, Taylor and Francis, 2022, 13 (9), pp.946-957. ⟨10.1080/2150704X.2022.2112107⟩. ⟨hal-03576400v2⟩
  • Maximiliano Sacco, Juan Ruiz, Manuel Pulido, Pierre Tandeo. Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification. Quarterly Journal of the Royal Meteorological Society, Wiley, In press, ⟨10.1002/qj.4362⟩. ⟨hal-03685523⟩
  • Etienne Pauthenet, Loïc Bachelot, Kevin Balem, Guillaume Maze, Anne-Marie Tréguier, et al.. Four-dimensional temperature, salinity and mixed-layer depth in the Gulf Stream, reconstructed from remote-sensing and in situ observations with neural networks. Ocean Science, European Geosciences Union, 2022, 18 (4), pp.1221 - 1244. ⟨10.5194/os-18-1221-2022⟩. ⟨hal-03762091⟩
  • Juan Ruiz, Pierre Ailliot, Pierre Le Bras, Valérie Monbet, Florian Sévellec, et al.. Analog Data Assimilation for the Selection of Suitable General Circulation Models. Geoscientific Model Development, European Geosciences Union, In press, ⟨10.5194/gmd-2021-434⟩. ⟨hal-03685531⟩
  • Carlos Granero Belinchon, Stéphane Roux, Nicolas Garnier, Pierre Tandeo, Bertrand Chapron, et al.. Two-dimensional structure functions for characterizing convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images. Remote Sensing Letters, Taylor and Francis, 2022, 13 (9), pp.946-957. ⟨10.1080/2150704X.2022.2112107⟩. ⟨hal-03762094⟩
  • Thi Tuyet Trang Chau, Pierre Ailliot, Valérie Monbet, Pierre Tandeo. Comparison of simulation-based algorithms for parameter estimation and state reconstruction in nonlinear state-space models. Discrete and Continuous Dynamical Systems - Series S, American Institute of Mathematical Sciences, 2022, pp.1-24. ⟨10.3934/dcdss.2022054⟩. ⟨hal-03616079⟩
  • Paul Platzer, Pascal Yiou, Philippe Naveau, Pierre Tandeo, Jean-François Filipot, et al.. Using local dynamics to explain analog forecasting of chaotic systems. Journal of the Atmospheric Sciences, American Meteorological Society, 2021, 78 (7), pp.2117-2133. ⟨10.1175/JAS-D-20-0204.1⟩. ⟨hal-02902685⟩
  • Clément Le Goff, Brahim Boussidi, Alexei Mironov, Yann Guichoux, Yicun Zhen, et al.. Monitoring the Greater Agulhas Current With AIS Data Information. Journal of Geophysical Research. Oceans, Wiley-Blackwell, 2021, 126 (5), pp.e2021JC017228. ⟨10.1029/2021jc017228⟩. ⟨hal-03227798⟩
  • Paul Platzer, Pascal Yiou, Philippe Naveau, Jean-François Filipot, Maxime Thiébaut, et al.. Probability distributions for analog-to-target distances. Journal of the Atmospheric Sciences, American Meteorological Society, 2021, 78 (10), pp.3317-3335. ⟨10.1175/JAS-D-20-0382.1⟩. ⟨hal-03104948⟩
  • Gonzalo Iñaki Quintana, Pierre Tandeo, Lucas Drumetz, Laurent Leballeur, Marc Pavec. Statistical forecast of the marine surge. Natural Hazards, Springer Verlag, 2021, ⟨10.1007/s11069-021-04806-6⟩. ⟨hal-03251802⟩
  • Abderrahim Bentamy, Semyon A Grodsky, Gildas Cambo, Pierre Tandeo, Xavier Capet, et al.. Twenty-Seven Years of Scatterometer Surface Wind Analysis over Eastern Boundary Upwelling Systems. Remote Sensing, MDPI, 2021, 123 (5), pp.940. ⟨10.3390/rs13050940⟩. ⟨hal-03161785⟩
  • Tadeo Javier Cocucci, Manuel Pulido, Magdalena Lucini, Pierre Tandeo. Model error covariance estimation in particle and ensemble Kalman filters using an online expectation‐maximization algorithm. Quarterly Journal of the Royal Meteorological Society, Wiley, 2021, 147 (734), pp.526-543. ⟨10.1002/qj.3931⟩. ⟨hal-02964198⟩
  • Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, et al.. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sensing, MDPI, 2020, 12 (24), pp.4156. ⟨10.3390/rs12244156⟩. ⟨hal-03227823⟩
  • Pierre Tandeo, Pierre Ailliot, Marc Bocquet, Alberto Carrassi, Takemasa Miyoshi, et al.. A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation. Monthly Weather Review, American Meteorological Society, 2020, 148 (10), pp.3973-3994. ⟨10.1175/MWR-D-19-0240.1⟩. ⟨hal-02922301⟩
  • Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, et al.. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sensing, MDPI, 2020, 12 (24), pp.4156. ⟨10.3390/rs12244156⟩. ⟨hal-03126743⟩
  • Cristina Gonzalez Haro, Jordi Isern-Fontanet, Pierre Tandeo, René Garello. Ocean surface currents reconstruction: Spectral characterization of the transfer function between SST and SSH. Journal of Geophysical Research. Oceans, Wiley-Blackwell, 2020, ⟨10.1029/2019JC015958⟩. ⟨hal-02940449⟩
  • Paul Platzer, Jean François Filipot, Philippe Naveau, Pierre Tandeo, Pascal Yiou. Wave group focusing in the ocean: estimations using crest velocities and a Gaussian linear model. Natural Hazards, Springer Verlag, 2020, 104, pp.2431-2449. ⟨10.1007/s11069-020-04279-z⟩. ⟨hal-02927235⟩
  • Yicun Zhen, Pierre Tandeo, Stéphanie Leroux, Sammy Metref, Thierry Penduff, et al.. An adaptive optimal interpolation based on analog forecasting: application to SSH in the Gulf of Mexico. Journal of Atmospheric and Oceanic Technology, American Meteorological Society, 2020, 37 (9), pp.1697-1711. ⟨10.1175/JTECH-D-20-0001.1⟩. ⟨hal-02920568⟩
  • Yicun Zhen, Pierre Tandeo, Stéphanie Leroux, Sammy Metref, Thierry Penduff, et al.. An Adaptive Optimal Interpolation Based on Analog Forecasting: Application to SSH in the Gulf of Mexico. Journal of Atmospheric and Oceanic Technology, American Meteorological Society, 2020, 37 (9), pp.1697-1711. ⟨10.1175/JTECH-D-20-0001.1⟩. ⟨hal-03084222⟩
  • Chen Wang, Alexis Mouche, Pierre Tandeo, Justin Stopa, Nicolas Longepe, et al.. A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode. Geoscience Data Journal, Wiley, 2019, 6 (2), pp.105-115. ⟨10.1002/gdj3.73⟩. ⟨hal-02275886⟩
  • Chen Wang, Pierre Tandeo, Alexis Mouche, Justin Stopa, Victor Gressani, et al.. Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies. Remote Sensing of Environment, Elsevier, 2019, 234, pp.111457. ⟨10.1016/j.rse.2019.111457⟩. ⟨hal-02363568⟩
  • Alex Ayet, Pierre Tandeo. Nowcasting solar irradiance using an analog method and geostationary satellite images. Solar Energy, Elsevier, 2018, 164, pp.301 - 315. ⟨10.1016/j.solener.2018.02.068⟩. ⟨hal-01759081⟩
  • Stéphane Saux-Picart, Pierre Tandeo, Emmanuelle Autret, Blandine Gausset. Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures. Remote Sensing, MDPI, 2018, 10 (2), pp.224 -. ⟨10.3390/rs10020224⟩. ⟨hal-01759072⟩
  • Manuel Pulido, Pierre Tandeo, Marc Bocquet, Alberto Carrassi, Magdalena Lucini. Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods. Tellus A: Dynamic Meteorology and Oceanography,, 2018, 70 (1), pp.1 - 17. ⟨10.1080/16000870.2018.1442099⟩. ⟨hal-01773980⟩
  • Redouane Lguensat, Pierre Tandeo, Pierre Ailliot, Manuel Pulido, Ronan Fablet. The Analog Data Assimilation. Monthly Weather Review, American Meteorological Society, 2017, 145 (10), pp.4093 - 4107. ⟨10.1175/MWR-D-16-0441.1⟩. ⟨hal-01609141⟩
  • Guillaume Maze, Herlé Mercier, Ronan Fablet, Pierre Tandeo, Manuel Lopez Radcenco, et al.. Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean. Progress in Oceanography, Elsevier, 2017, 151, pp.275 - 292. ⟨10.1016/j.pocean.2016.12.008⟩. ⟨hal-01511358⟩
  • Denis Dreano, Pierre Tandeo, Manuel Pulido, Boujemaa Ait-El-Fquih, Thierry Chonavel, et al.. Estimating model error covariances in nonlinear state-space models using Kalman smoothing and the expectation-maximisation algorithm. Quarterly Journal of the Royal Meteorological Society, Wiley, 2017, 143 (705), pp.1877 - 1885 ⟨10.1002/qj.3048⟩. ⟨hal-01574682⟩
  • Clement Le Goff, Ronan Fablet, Emmanuelle Autret, Pierre Tandeo, Bertrand Chapron. Spatio-temporal decomposition of satellite-derived SST-SSH fields: links between surface data and ocean interior dynamics in the Agulhas region. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2016, 9 (11), pp.5106 - 5112. ⟨10.1109/JSTARS.2016.2605040⟩. ⟨hal-01443999⟩
  • Manuel Pulido, Guillermo Scheffler, Juan Ruiz, Magdalena Lucini, Pierre Tandeo. Estimation of the functional form of subgrid-scale parameterizations using ensemble-based data assimilation: a simple model experiment. Quarterly Journal of the Royal Meteorological Society, Wiley, 2016, 142 (701), pp.2974 - 2984. ⟨10.1002/qj.2879⟩. ⟨hal-01443992⟩
  • Alexis Hannart, Alberto Carrassi, Marc Bocquet, Michael Ghil, Philippe Naveau, et al.. DADA: Data Assimilation for the Detection and Attribution of weather- and climate-related events. Climatic Change, Springer Verlag, 2016, 136 (2), pp.155-174. ⟨10.1007/s10584-016-1595-3⟩. ⟨hal-01356197⟩
  • Xuan Wang, Pierre Tandeo, Ronan Fablet, Romain Husson, Lei Guan, et al.. Validation and parameter sensitivity test for reconstructing swell field based on Ensemble Kalman filter. Sensors, MDPI, 2016, 16 (12), pp.art.2000 - ⟨10.3390/s16122000⟩. ⟨hal-01443972⟩
  • Pierre Tandeo, Manuel Pulido, François Lott. Offline parameter estimation using EnKF and maximum likelihood error covariance estimates: Application to a subgrid-scale orography parameterization. Quarterly Journal of the Royal Meteorological Society, Wiley, 2015, 141 (687), pp.383 - 395. ⟨10.1002/qj.2357⟩. ⟨hal-01194557⟩
  • Anne Clémence Tersiguel, Céline Bodéré, Martine Schollhammer, Edith Postec, Pierre Tandeo, et al.. Screening for Neuropathic Pain, Anxiety and Other Associated Chronic Pain Conditions in Vulvodynia: A Pilot Study. Acta Dermato-Venereologica, Society for Publication of Acta Dermato-Venereologica, 2015, 95 (6), pp.749 - 751. ⟨10.2340/00015555-2053⟩. ⟨hal-01308361⟩
  • Pierre Tandeo, Emmanuelle Autret, Bertrand Chapron, Ronan Fablet, René Garello. SST spatial anisotropic covariances from METOP-AVHRR data. Remote Sensing of Environment, Elsevier, 2013, 141 (5), pp.144 - 148. ⟨10.1016/j.rse.2013.10.024⟩. ⟨hal-00946860⟩
  • Pierre Tandeo, Bertrand Chapron, Sileye Ba, Emmanuelle Autret, Ronan Fablet. Segmentation of mesoscale ocean surface dynamics using satellite SST and SSH observations. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2013, 52 (7), pp.4227 - 4235. ⟨10.1109/TGRS.2013.2280494⟩. ⟨hal-00947965⟩

Book sections1 document

  • Pierre Tandeo, Pierre Ailliot, Juan Ruiz, Alexis Hannart, Bertrand Chapron, et al.. Combining analog method and ensemble data assimilation: application to the Lorenz-63 chaotic system. Machine Learning and Data Mining Approaches to Climate Science: proceedings of the 4th International Workshop on Climate Informatics, Springer, pp.3-12, 2015, 978-3-319-17219-4. ⟨10.1007/978-3-319-17220-0_1⟩. ⟨hal-01202496⟩

Theses1 document

  • Pierre Tandeo. MODÉLISATION SPATIO-TEMPORELLE D'UNE VARIABLE QUANTITATIVE À PARTIR DE DONNÉES MULTI-SOURCES APPLICATION À LA TEMPÉRATURE DE SURFACE DES OCÉANS. Mathématiques [math]. Agrocampus - Ecole nationale supérieure d'agronomie de rennes, 2010. Français. ⟨tel-00582679⟩

Conference papers36 documents

  • Pierre Tandeo, P. Ailliot, C. Bello, B. Chapron, T. Chau, et al.. Narrowing uncertainties of climate projections using data science tools?. AI4Climate, Mar 2021, Paris, France. ⟨hal-03278989⟩
  • Pierre Tandeo, P. Ailliot, Christophe Bello, B. Chapron, T. Chau, et al.. Identify the dynamics of climate models using data assimilation and analog predictions. DataLearning Working Group, May 2021, Londres, United Kingdom. ⟨hal-03278987⟩
  • Pierre Tandeo, Pierre Ailliot, Christophe Bello, Bertrand Chapron, Trang Chau, et al.. Narrowing uncertainties in climate projections using data science tools. 3rd joint RIKEN & IMT-Atlantique workshop on Statistical Modeling and Machine Learning in Meteorology and Oceanography, Apr 2021, Brest, France. ⟨hal-03279029⟩
  • Juan Ruiz, Maximiliano Sacco, Yicun Zhen, Pierre Tandeo, Manuel Pulido. Machine learning-based uncertainty quantification for data assimilation: a simple model experiment. European Geosciences Union, Apr 2021, Vienne, Austria. ⟨10.5194/egusphere-egu21-9254⟩. ⟨hal-03279041⟩
  • Pierre Ailliot, Thi Tuyet Trang Chau, Valérie Monbet, Philippe Naveau, Juan Ruiz, et al.. Selection of dynamic model using analog data assimilation. Statistical Modeling and Machine Learning in Meteorology and Oceanography, Feb 2020, Brest, France. ⟨hal-02921295⟩
  • Maximiliano Sacco, Yicun Zhen, Pierre Tandeo, Juan Ruiz, Manuel Pulido. Quantification of forecast uncertainty using neural networks. Climate Informatics 2020, Sep 2020, Oxford, United Kingdom. ⟨hal-02942802⟩
  • Aurélien Colin, Nicolas Longépé, Ronan Fablet, Pierre Tandeo, Samir Saoudi. Weak supervision learning for semantic segmentation of metoceanic processes. Climate Informatics 2020, Sep 2020, Oxford, United Kingdom. ⟨hal-02927335⟩
  • Yicun Zhen, Pierre Tandeo, Stephanie Leroux, Sammy Metref, Thierry Penduff, et al.. An adaptive optimal interpolation based on analog forecasting: application to SSH in the Gulf of Mexico. EGU General Assembly, May 2020, En ligne, Austria. ⟨hal-03000989⟩
  • Juan Ruiz, Pierre Ailliot, Thi Tuyet Trang Chau, Valérie Monbet, Pierre Tandeo. Selection of dynamical model using analog data assimilation. Climate Informatics 2020, Sep 2020, Oxford, United Kingdom. ⟨hal-02927329⟩
  • Paul Platzer, Pascal Yiou, Pierre Tandeo, Philippe Naveau, Jean-François Filipot. Predicting Analog Forecasting Errors using Dynamical Systems. CI 2019 : 9th International Workshop on Climate Informatics, Oct 2019, Paris, France. ⟨hal-02276974⟩
  • Alberto Carrassi, Pierre Tandeo. Model error in geophysical data assimilation - Some ideas. ISDA2019 : 7th International Symposium on Data Assimilation, Jan 2019, Kobe, Japan. ⟨hal-02156742⟩
  • Chen Wang, Alexis Mouche, Ralph Foster, Douglas Vandemark, Justin Stopa, et al.. CHARACTERISTICS OF MARINE ATMOSPHERIC BOUNDARY LAYER ROLL VORTICES FROM SENTINEL-1 SAR WAVE MODE. IGARSS 2019 : International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨10.1109/IGARSS.2019.8900287⟩. ⟨hal-02276981⟩
  • Cristina Gonzalez-Haro, Jordi Isern-Fontanet, Pierre Tandeo, Emmanuelle Autret. High-resolution currents from the synergy between Infrared SST and altimetry. LPS 2019 : Living Planet Symposium, May 2019, Milan, Italy. ⟨hal-02156729⟩
  • Gautier Cosne, Guillaume Maze, Pierre Tandeo. Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics. NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02928416⟩
  • Pierre Tandeo. Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a Review. Colloque national d'assimilation de données, Sep 2018, Rennes, France. ⟨hal-01885562⟩
  • Chen Wang, Alexis Mouche, Pierre Tandeo, Justin Stopa, Bertrand Chapron, et al.. Automated Geophysical Classification of Sentinel-1 Wave Mode SAR Images Through Deep-Learning. IGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valence, Spain. ⟨10.1109/IGARSS.2018.8518354⟩. ⟨hal-01929536⟩
  • Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, et al.. EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valence, Spain. pp.1764-1767, ⟨10.1109/IGARSS.2018.8518411⟩. ⟨hal-01929509⟩
  • Pierre Tandeo, Pierre Ailliot, Marc Bocquet, Alberto Carrassi, Ibrahim Hoteit, et al.. Estimation of error covariance matrices in data assimilation. RIKEN International Workshop on Uncertainty Quantification (UQWS), Feb 2018, Kobe, Japan. ⟨hal-01824227⟩
  • Redouane Lguensat, Pierre Tandeo, Pierre Ailliot, Manuel Pulido, Ronan Fablet. Toward data-driven methods in geophysics: the Analog Data Assimilation. EGU 2017 : 19th EGU General Assembly, Apr 2017, Vienne, Austria. ⟨hal-01609890⟩
  • Alex Ayet, Pierre Tandeo. Analog nowcasting of solar irradiance from geostationary satellite images. Climate Informatics, Sep 2017, Boulder, United States. ⟨hal-01799807⟩
  • Ronan Fablet, Redouane Lguensat, Phi Huynh Viet, Pierre Ailliot, Bertrand Chapron, et al.. Analog assimilation for high-dimensional geophysical dynamics. DSE 2017 : Workshop on Data Science and Environment, Jul 2017, Brest, France. ⟨hal-01586349⟩
  • Cristina Gonzalez Haro, Emmanuelle Autret, Jordi Isern-Fontanet, Pierre Tandeo, René Garello. Ocean Surface Current Reconstruction: On the Transfer Function between Infrared SST and along-track altimeter observations. OCEANS 2016 - Monterey : MTS/IEEE international conference, Sep 2016, Monterey, United States. pp.1 - 5, ⟨10.1109/OCEANS.2016.7761383⟩. ⟨hal-01444276⟩
  • Pierre Tandeo, Aitor Atencia, Cristina Gonzalez Haro. Combining 15 years of microwave SST and along-track SSH to estimate ocean surface currents. CI 2016 : 6th International Workshop on Climate Informatics, Sep 2016, Boulder, États-Unis. pp.1 - 4, ⟨10.5065/D6K072N6⟩. ⟨hal-01444302⟩
  • Manuel Lopez Radcenco, Abdeldjalil Aissa El Bey, Pierre Ailliot, Pierre Tandeo, Ronan Fablet. Non-negative decomposition of linear relationships: application to multi-source ocean remote sensing data. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.4179-4183, ⟨10.1109/ICASSP.2016.7472464⟩. ⟨hal-01298201⟩
  • Redouane Lguensat, Ronan Fablet, Pierre Ailliot, Pierre Tandeo. An Exemplar-based Hidden Markov Model framework for nonlinear state-space models. EUSIPCO 2016 : European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1 - 5, ⟨10.1109/EUSIPCO.2016.7760667⟩. ⟨hal-01444213⟩
  • Guillaume Maze, Herlé Mercier, Ronan Fablet, Philippe Lenca, Manuel Lopez Radcenco, et al.. Ocean Heat Content Structure Revealed by Un-Supervised Classification of Hydrographic Profiles. OSD 2016 : Ocean Sciences Meeting , Feb 2016, New Orleans, États-Unis. ⟨hal-01345101⟩
  • Pierre Tandeo, Pierre Ailliot, Bertrand Chapron, Redouane Lguensat, Ronan Fablet. The analog data assimilation: application to 20 years of altimetric data. CI 2015 : 5th International Workshop on Climate Informatics, Sep 2015, Boulder, United States. pp.1 - 2, ⟨10.13140/RG.2.1.4030.5681⟩. ⟨hal-01356222⟩
  • Redouane Lguensat, Pierre Tandeo, Ronan Fablet, Pierre Ailliot. Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. ICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec City, Canada. pp.2488-2492, ⟨10.1109/ICIP.2015.7351615⟩. ⟨hal-01271173⟩
  • Redouane Lguensat, Pierre Tandeo, Ronan Fablet, René Garello. Spatio-temporal interpolation of Sea Surface Temperature using high resolution remote sensing data. OCEANS 2014 - St John's : MTS/IEEE international conference, Sep 2014, St. John'S, Canada. pp.1 - 4, ⟨10.1109/OCEANS.2014.7002988⟩. ⟨hal-01188863⟩
  • Pierre Tandeo, Ronan Fablet, Pierre Ailliot. Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SST. IGARSS 20104 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2014, Quebec, Canada. pp.5123 - 5125, ⟨10.1109/IGARSS.2014.6947650⟩. ⟨hal-01188830⟩
  • Pierre Tandeo, Ronan Fablet, Pierre Ailliot. Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model. ICIP 2014 : 21st IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.2968 - 2972, ⟨10.1109/ICIP.2014.7025600⟩. ⟨hal-01188818⟩
  • Pierre Tandeo, Pierre Ailliot, Ronan Fablet, Juan Ruiz, François Rousseau, et al.. The Analog Ensemble Kalman Filter and Smoother. CI 2014 : 4th International Workshop on Climate Informatics, Sep 2014, Boulder, United States. ⟨hal-01188825⟩
  • Pierre Tandeo, Martin Saraceno, Ronan Fablet, Juan Ruiz. A synergy study between SST, Chl-a and altimeters to improve surface geostrophic currents. COSPAR 2014 : the 40th COmmittee on SPAce Research scientific assembly, Aug 2014, Moscou, Russia. ⟨hal-01172737⟩
  • Pierre Tandeo, Ronan Fablet, René Garello. Spatio-temporal segmentation of mesoscale ocean surface dynamics using satellite data. OCEANS 2013 : proceedings of the MTS/IEEE Bergen, Jun 2013, Bergen, Norway. pp.1 - 5, ⟨10.1109/OCEANS-Bergen.2013.6608171⟩. ⟨hal-00947670⟩
  • Pierre Tandeo, René Garello, Ronan Fablet, Romain Husson, Fabrice Collard, et al.. Interpolated swell fields from SAR measurements. OCEANS 2013 : proceedings of the MTS/IEEE San Diego Conference, Sep 2013, San Diego, United States. pp.1-4. ⟨hal-00958440⟩
  • Pierre Tandeo, Sileye Ba, Ronan Fablet, Bertrand Chapron, Emmanuelle Autret. Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields. ICIP 2013 : 20 th IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.2344 - 2348, ⟨10.1109/CIP.2013.6738483⟩. ⟨hal-00946865⟩

Poster communications6 documents

  • Shigenori Otsuka, Yasumitsu Maejima, Pierre Tandeo, Takemasa Miyoshi. Toward an integrated NWP-DA-AI system for 30-second-update precipitation prediction. ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction, Oct 2020, Virtual Conference, United Kingdom. ⟨hal-02967547⟩
  • Yicun Zhen, Pierre Tandeo, Stéphanie Leroux, Julien Le Sommer, Sammy Metref, et al.. 3DA: Data-Driven Data Assimilation Applications to the Lorenz system and simulated sea surface heights. EGU 2019 : European Geosciences Union, Apr 2019, Vienna, Austria. pp.1. ⟨hal-02108347⟩
  • Nicolas Longépé, Romain Husson, Chen Wang, Alexis Mouche, Pierre Tandeo. On the detection and segmentation of metocean features on SAR images using Deep Learning: perspectives for SWOT. SWOT Science Team Meeting, Jun 2019, Talence, France. ⟨hal-02156712⟩
  • Yicun Zhen, Pierre Tandeo, Stéphanie Leroux, Julien Le Sommer, Pierre Ailliot, et al.. Analog forecasting (AnDA) and large-ensemble ocean simulations to improve satellite-derived gridded products. OceanPredict '19 - GODAE OceanView Symposium, May 2019, Halifax, Canada. pp.1. ⟨hal-02156704⟩
  • Redouane Lguensat, Pierre Tandeo, Pierre Ailliot, Ronan Fablet, Bertrand Chapron. Using archived datasets for missing data interpolation in ocean remote sensing observation series. OCEANS 2016 - Shangai : MTS/IEEE international conference, Apr 2016, Shanghai, China. IEEE/MTS, pp.1 - 6, ⟨10.1109/OCEANSAP.2016.7485433⟩. ⟨hal-01355266⟩
  • Manuel Lopez Radcenco, Abdeldjalil Aissa El Bey, Pierre Ailliot, Pierre Tandeo, Ronan Fablet. Non-negative Decomposition of Sea Surface Dynamics from Multi-source Ocean Remote Sensing Data. ACO 2016 : A connected ocean: new approaches, new technologies, new challenges for knowledge of ocean processes, Oct 2016, Brest, France. 52, 2016. ⟨hal-01611018⟩

Preprints, Working Papers, ...4 documents

  • Robin Marcille, Maxime Thiébaut, Jean-François Filipot, Pierre Tandeo. Gaussian Mixture Models for the Optimal Sparse Sampling of Offshore Wind Resource. 2022. ⟨hal-03685543⟩
  • Le Goff Clément, Boussidi Brahim, Mironov Alexei, Guichoux Yann, Zhen Yicun, et al.. Monitoring the Greater Agulhas Current with AIS Data Information. 2021. ⟨hal-03178056⟩
  • Thi Tuyet Trang Chau, Pierre Ailliot, Valérie Monbet, Pierre Tandeo. An efficient particle-based method for maximum likelihood estimation in nonlinear state-space models. 2018. ⟨hal-01708631v3⟩
  • Pierre Tandeo, Pierre Ailliot, Marc Bocquet, Alberto Carrassi, Takemasa Miyoshi, et al.. Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a Review. 2018. ⟨hal-01867958⟩