Pierre Tandeo
Présentation
Publications
Publications
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Combining analog method and ensemble data assimilation: application to the Lorenz-63 chaotic systemMachine 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⟩ |
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MODÉLISATION SPATIO-TEMPORELLE D'UNE VARIABLE QUANTITATIVE À PARTIR DE DONNÉES MULTI-SOURCES APPLICATION À LA TEMPÉRATURE DE SURFACE DES OCÉANSMathématiques [math]. Agrocampus - Ecole nationale supérieure d'agronomie de rennes, 2010. Français. ⟨NNT : ⟩ |
Discovering latent variables in incomplete dynamical systems2025 - 65th ISI World Statistics Congress, Oct 2025, The Hague, Netherlands |
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Object-oriented mesoscale eddy predictionEGU 2025 - General Assembly of the European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-4043⟩ |
Quantifying uncertainty in climate reanalysesRT-UQ 2025 - Workshop on Uncertainty Quantification for Climate Science, RT UQ; Institut des Mathématiques pour la Planète Terre; GdR Défis theoriques pour les sciences du climat., Nov 2025, Paris, France |
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Reconstructing historical salinity fields over the 20th century using a data-driven method and Argo dataEGU 2025 - General Assembly of the European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-10637⟩ |
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Equation discovery for climate impact: symbolic regression to emulate climate impact indicators for unseen scenariosEGU 2025 - European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-3836⟩ |
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Estimation of the time-varying probability density function from ensemble simulations and observations using AnalogsEGU 2025 - General Assembly of the European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-6284⟩ |
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RIKEN’s activities to integrate data assimilation and AI/MLEGU 2025 - General Assembly of the European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-4099⟩ |
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Arctic regional changes revealed by clustering of sea-ice observationsEGU 2025 - General Assembly of the European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-4117⟩ |
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A multi-disciplinary approach to teaching climate change and data scienceEGU 2025 - General Assembly of the European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-12914⟩ |
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Data-driven identification and reconstruction of partially observed dynamical systemsISDA 2024: 10th International Symposium on Data Assimilation, RIKEN, Oct 2024, Kobe, Japan |
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Narrowing Uncertainties of Climate Projections using Data-driven Methods: the AMOC Case StudyNHM 2023: 6th International Workshop on Nonhydrostatic Models, Aug 2023, Sapporo, Japan. pp.1-13 |
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Caracterización topológica de la Circulación de retorno meridional del Atlántico108 Reunión Anual de Física 2023, https://rafa2023.fisica.org.ar/comite-organizador, Sep 2023, Bahía Blanca, Argentina |
Data-driven reconstruction of partially observed dynamical systemsRIKEN 2023: 14th workshop on Data Assimilation, Aug 2023, Kobe, Japan |
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Dynamical Properties of Weather Regime TransitionsSTUOD 2021: Stochastic Transport in Upper Ocean Dynamics Annual Workshop, Sep 2021, London, United Kingdom. pp.223-236, ⟨10.1007/978-3-031-18988-3_14⟩ |
Estimating Dynamical Models using Machine Learning and Data AssimilationIMT Atlantique & Kyoto University & RIKEN joint Data Assimilation workshop, Aug 2023, Kobe, Japan |
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Data-driven reconstruction of partially observed dynamical systemsICIAM 2023 - 10th International Congress on Industrial and Applied Mathematics, Aug 2023, Tokyo, Japan |
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End-to-End Kalman Filter in a High Dimensional Linear Embedding of the ObservationsSTUOD 2021 - Stochastic Transport in Upper Ocean Dynamics Annual Workshop, Sep 2021, Londres, United Kingdom. pp.211-221, ⟨10.1007/978-3-031-18988-3_13⟩ |
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Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 DatasetIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. pp.307-309, ⟨10.1109/IGARSS46834.2022.9884881⟩ |
Narrowing uncertainties in climate projections using data science tools3rd joint RIKEN & IMT-Atlantique workshop on Statistical Modeling and Machine Learning in Meteorology and Oceanography, Apr 2021, Brest, France |
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Machine learning-based uncertainty quantification for data assimilation: a simple model experimentEuropean Geosciences Union, Apr 2021, Vienne, Austria. ⟨10.5194/egusphere-egu21-9254⟩ |
Identify the dynamics of climate models using data assimilation and analog predictionsDataLearning Working Group, May 2021, Londres, United Kingdom |
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Narrowing uncertainties of climate projections using data science tools?AI4Climate, Mar 2021, Paris, France |
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Selection of dynamical model using analog data assimilationClimate Informatics 2020, Sep 2020, Oxford, United Kingdom |
An adaptive optimal interpolation based on analog forecasting: application to SSH in the Gulf of MexicoEGU General Assembly, May 2020, En ligne, Austria |
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Weak supervision learning for semantic segmentation of metoceanic processesClimate Informatics 2020, Sep 2020, Oxford, United Kingdom |
Selection of dynamic model using analog data assimilationStatistical Modeling and Machine Learning in Meteorology and Oceanography, Feb 2020, Brest, France |
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Quantification of forecast uncertainty using neural networksClimate Informatics 2020, Sep 2020, Oxford, United Kingdom |
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CHARACTERISTICS OF MARINE ATMOSPHERIC BOUNDARY LAYER ROLL VORTICES FROM SENTINEL-1 SAR WAVE MODEIGARSS 2019 : International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨10.1109/IGARSS.2019.8900287⟩ |
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Coupling Oceanic Observation Systems to Study Mesoscale Ocean DynamicsNeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada |
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Predicting Analog Forecasting Errors using Dynamical SystemsCI 2019 : 9th International Workshop on Climate Informatics, Oct 2019, Paris, France |
Model error in geophysical data assimilation - Some ideasISDA2019 : 7th International Symposium on Data Assimilation, Jan 2019, Kobe, Japan |
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High-resolution currents from the synergy between Infrared SST and altimetryLPS 2019 : Living Planet Symposium, May 2019, Milan, Italy |
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EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic EddiesInternational Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valence, Spain. pp.1764-1767, ⟨10.1109/IGARSS.2018.8518411⟩ |
Automated Geophysical Classification of Sentinel-1 Wave Mode SAR Images Through Deep-LearningIGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valence, Spain. ⟨10.1109/IGARSS.2018.8518354⟩ |
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Estimation of error covariance matrices in data assimilationRIKEN International Workshop on Uncertainty Quantification (UQWS), Feb 2018, Kobe, Japan |
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Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a ReviewColloque national d'assimilation de données, Sep 2018, Rennes, France |
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Analog assimilation for high-dimensional geophysical dynamicsDSE 2017 : Workshop on Data Science and Environment, Jul 2017, Brest, France |
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Analog nowcasting of solar irradiance from geostationary satellite imagesClimate Informatics, Sep 2017, Boulder, United States |
Toward data-driven methods in geophysics: the Analog Data AssimilationEGU 2017 : 19th EGU General Assembly, Apr 2017, Vienne, Austria |
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Combining 15 years of microwave SST and along-track SSH to estimate ocean surface currentsCI 2016 : 6th International Workshop on Climate Informatics, Sep 2016, Boulder, États-Unis. pp.1 - 4, ⟨10.5065/D6K072N6⟩ |
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An Exemplar-based Hidden Markov Model framework for nonlinear state-space modelsEUSIPCO 2016 : European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1 - 5, ⟨10.1109/EUSIPCO.2016.7760667⟩ |
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Non-negative decomposition of linear relationships: application to multi-source ocean remote sensing data41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.4179-4183, ⟨10.1109/ICASSP.2016.7472464⟩ |
Ocean Heat Content Structure Revealed by Un-Supervised Classification of Hydrographic ProfilesOSD 2016 : Ocean Sciences Meeting , Feb 2016, New Orleans, États-Unis |
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Ocean Surface Current Reconstruction: On the Transfer Function between Infrared SST and along-track altimeter observationsOCEANS 2016 - Monterey : MTS/IEEE international conference, Sep 2016, Monterey, United States. pp.1 - 5, ⟨10.1109/OCEANS.2016.7761383⟩ |
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Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic texturesICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec City, Canada. pp.2488-2492, ⟨10.1109/ICIP.2015.7351615⟩ |
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The analog data assimilation: application to 20 years of altimetric dataCI 2015 : 5th International Workshop on Climate Informatics, Sep 2015, Boulder, United States. pp.1 - 2, ⟨10.13140/RG.2.1.4030.5681⟩ |
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Spatio-temporal interpolation of Sea Surface Temperature using high resolution remote sensing dataOCEANS 2014 - St John's : MTS/IEEE international conference, Sep 2014, St. John'S, Canada. pp.1 - 4, ⟨10.1109/OCEANS.2014.7002988⟩ |
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Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime modelICIP 2014 : 21st IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.2968 - 2972, ⟨10.1109/ICIP.2014.7025600⟩ |
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The Analog Ensemble Kalman Filter and SmootherCI 2014 : 4th International Workshop on Climate Informatics, Sep 2014, Boulder, United States |
A synergy study between SST, Chl-a and altimeters to improve surface geostrophic currentsCOSPAR 2014 : the 40th COmmittee on SPAce Research scientific assembly, Aug 2014, Moscou, Russia |
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Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SSTIGARSS 20104 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2014, Quebec, Canada. pp.5123 - 5125, ⟨10.1109/IGARSS.2014.6947650⟩ |
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Interpolated swell fields from SAR measurementsOCEANS 2013 : proceedings of the MTS/IEEE San Diego Conference, Sep 2013, San Diego, United States. pp.1-4 |
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Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fieldsICIP 2013 : 20 th IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.2344 - 2348, ⟨10.1109/CIP.2013.6738483⟩ |
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Spatio-temporal segmentation of mesoscale ocean surface dynamics using satellite dataOCEANS 2013 : proceedings of the MTS/IEEE Bergen, Jun 2013, Bergen, Norway. pp.1 - 5, ⟨10.1109/OCEANS-Bergen.2013.6608171⟩ |
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Neural SPDE solver for uncertainty quantification in high-dimensional ocean dynamics2024 - 55th International Liege Colloquium on Ocean Dynamics, May 2024, Liège (B), Belgium. pp.1-1, 2024 |
Decreasing the rain-induced wind speed overestimation on SAR observations.CI'2022: 11th International Conference on Climate Informatics, May 2022, Asheville (North carolina), United States |
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Toward an integrated NWP-DA-AI system for 30-second-update precipitation predictionECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction, Oct 2020, Virtual Conference, United Kingdom |
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On the detection and segmentation of metocean features on SAR images using Deep Learning: perspectives for SWOTSWOT Science Team Meeting, Jun 2019, Talence, France |
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Analog forecasting (AnDA) and large-ensemble ocean simulations to improve satellite-derived gridded productsOceanPredict '19 - GODAE OceanView Symposium, May 2019, Halifax, Canada. pp.1 |
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3DA: Data-Driven Data Assimilation Applications to the Lorenz system and simulated sea surface heightsEGU 2019 : European Geosciences Union, Apr 2019, Vienna, Austria. pp.1 |
Using archived datasets for missing data interpolation in ocean remote sensing observation seriesOCEANS 2016 - Shangai : MTS/IEEE international conference, Apr 2016, Shanghai, China. IEEE/MTS, pp.1 - 6, ⟨10.1109/OCEANSAP.2016.7485433⟩ |
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Non-negative Decomposition of Sea Surface Dynamics from Multi-source Ocean Remote Sensing DataACO 2016 : A connected ocean: new approaches, new technologies, new challenges for knowledge of ocean processes, Oct 2016, Brest, France. 52, 2016 |
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Algorithmie et méthodes d'apprentissage automatique pour les sciences environnementalesOcéan, Atmosphère. Université de Bretagne Occidentale, 2023 |