Bienvenue dans la collection HAL - Lab-STICC_OSE

L'archive ouverte HAL - Lab-STICC permet de consulter en libre accès, les publications scientifiques et travaux de recherche de l'équipe OSE du Lab-STICC. Attention, la page ci-dessous affiche les dépôts en accès libre. La liste des notices bibliographiques est disponible sur la page Notices de la collection Lab-STICC_OSE.

Dernières publications Erwan Oulhen, Nicolas Kolodziejczyk, Pierre Tandeo, Bruno Blanke, Florian Sévellec. Reconstructing the Ocean State Using Argo Data and a Data-Driven Method. Journal of Atmospheric and Oceanic Technology, In press, pp.1-30. ⟨10.1175/JTECH-D-23-0157.1⟩. ⟨hal-04759542⟩ Pierre Tandeo. Data-driven identification and reconstruction of partially observed dynamical systems. ISDA 2024 - 10th International Symposium on Data Assimilation, RIKEN, Oct 2024, Kobe, Japan. ⟨hal-04764759⟩ Paul Platzer, Pierre Ailliot, Bertrand Chapron, Pierre Tandeo. Could old tide gauges help estimate past atmospheric variability?. Climate of the Past, 2024, 20 (1-20), pp.2267-2286. ⟨10.5194/cp-20-2267-2024⟩. ⟨hal-04732501⟩ Théo Picard, Jonathan Gula, Ronan Fablet, Jeremy Collin, Laurent Mémery. Predicting particle catchment areas of deep-ocean sediment traps using machine learning. Ocean Science, 2024, 20 (5), pp.1149-1165. ⟨10.5194/os-20-1149-2024⟩. ⟨hal-04711533⟩ Ewen Frogé, Carlos Granero-Belinchon, Stéphane G. Roux, Nicolas B. Garnier, Thierry Chonavel. A predictability-based characterization of intermittency in turbulence. EFDC1 2024 - 1st European Fluid Dynamics Conference, Sep 2024, Aachen, Germany. pp.1-1. ⟨hal-04694770⟩ Héloïse Muller, Etienne Auclair, Aubin Woehrel, Florian Ganthy, Pierre Tandeo, et al.. Site-level and spatially-explicit modelling provides some insights on key factors driving seasonal dynamics of an intertidal seagrass. Ecological Modelling, 2024, 495, pp.110802. ⟨10.1016/j.ecolmodel.2024.110802⟩. ⟨hal-04659360⟩ Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aissa El Bey. Koopman Ensembles for Probabilistic Time Series Forecasting. EUSIPCO 2024 - 32nd European Signal Processing Conference, EURASIP, Aug 2024, Lyon, France. ⟨hal-04499908v2⟩ Etienne Pauthenet, Elodie Martinez, Thomas Gorgues, Joana Roussillon, Lucas Drumetz, et al.. Contrasted Trends in Chlorophyll‐ a Satellite Products. Geophysical Research Letters, 2024, 51 (14), pp.1-10. ⟨10.1029/2024GL108916⟩. ⟨hal-04672609⟩ Robin Marcille, Pierre Tandeo, Maxime Thiébaut, Pierre Pinson, Ronan Fablet. Convolutional encoding and normalizing flows: a deep learning approach for offshore wind speed probabilistic forecasting in the Mediterranean Sea. Artificial Intelligence for the Earth Systems, 2024, pp.1-41. ⟨10.1175/aies-d-23-0112.1⟩. ⟨hal-04645705⟩ Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet. Training Neural Mapping Schemes for Satellite Altimetry With Simulation Data. Journal of Advances in Modeling Earth Systems, 2024, 16 (7), pp.1-13. ⟨10.1029/2023MS003959⟩. ⟨hal-04672619⟩

Recherche Chiffres clés 142 Publications avec texte intégral Répartition par type de documents Politique éditoriale Journal title or ISSN   Publisher