Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics
International audience Understanding local currents in the North Atlantic region of the ocean is a key part of modelling heat transfer and global climate patterns. Satellites provide a surface signature of the temperature of the ocean with a high horizontal resolution while in situ autonomous probes...
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ftunivnantes:oai:HAL:hal-02928416v1 2023-05-15T17:29:28+02:00 Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics Cosne, Gautier Maze, Guillaume Tandeo, Pierre Montreal Institute for Learning Algorithms Montréal (MILA) Centre de Recherches Mathématiques Montréal (CRM) Université de Montréal (UdeM)-Université de Montréal (UdeM) Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Lab-STICC_IMTA_CID_TOMS Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT) Département Signal et Communications (IMT Atlantique - SC) IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT) Vancouver, Canada 2019-12-08 https://imt-atlantique.hal.science/hal-02928416 https://imt-atlantique.hal.science/hal-02928416/document https://imt-atlantique.hal.science/hal-02928416/file/1910.08573.pdf en eng HAL CCSD hal-02928416 https://imt-atlantique.hal.science/hal-02928416 https://imt-atlantique.hal.science/hal-02928416/document https://imt-atlantique.hal.science/hal-02928416/file/1910.08573.pdf info:eu-repo/semantics/OpenAccess NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems https://imt-atlantique.hal.science/hal-02928416 NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [STAT.ML]Statistics [stat]/Machine Learning [stat.ML] info:eu-repo/semantics/conferenceObject Conference papers 2019 ftunivnantes 2023-03-01T03:03:03Z International audience Understanding local currents in the North Atlantic region of the ocean is a key part of modelling heat transfer and global climate patterns. Satellites provide a surface signature of the temperature of the ocean with a high horizontal resolution while in situ autonomous probes supply high vertical resolution , but horizontally sparse, knowledge of the ocean interior thermal structure. The objective of this paper is to develop a methodology to combine these complementary ocean observing systems measurements to obtain a three-dimensional time series of ocean temperatures with high horizontal and vertical resolution. Within an observation-driven framework, we investigate the extent to which mesoscale ocean dynamics in the North Atlantic region may be decomposed into a mixture of dynamical modes, characterized by different local regressions between Sea Surface Temperature (SST), Sea Level Anomalies (SLA) and Vertical Temperature fields. Ultimately we propose a Latent-class regression method to improve prediction of vertical ocean temperature. Conference Object North Atlantic Université de Nantes: HAL-UNIV-NANTES Canada |
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Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [STAT.ML]Statistics [stat]/Machine Learning [stat.ML] |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [STAT.ML]Statistics [stat]/Machine Learning [stat.ML] Cosne, Gautier Maze, Guillaume Tandeo, Pierre Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [STAT.ML]Statistics [stat]/Machine Learning [stat.ML] |
description |
International audience Understanding local currents in the North Atlantic region of the ocean is a key part of modelling heat transfer and global climate patterns. Satellites provide a surface signature of the temperature of the ocean with a high horizontal resolution while in situ autonomous probes supply high vertical resolution , but horizontally sparse, knowledge of the ocean interior thermal structure. The objective of this paper is to develop a methodology to combine these complementary ocean observing systems measurements to obtain a three-dimensional time series of ocean temperatures with high horizontal and vertical resolution. Within an observation-driven framework, we investigate the extent to which mesoscale ocean dynamics in the North Atlantic region may be decomposed into a mixture of dynamical modes, characterized by different local regressions between Sea Surface Temperature (SST), Sea Level Anomalies (SLA) and Vertical Temperature fields. Ultimately we propose a Latent-class regression method to improve prediction of vertical ocean temperature. |
author2 |
Montreal Institute for Learning Algorithms Montréal (MILA) Centre de Recherches Mathématiques Montréal (CRM) Université de Montréal (UdeM)-Université de Montréal (UdeM) Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Lab-STICC_IMTA_CID_TOMS Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT) Département Signal et Communications (IMT Atlantique - SC) IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT) |
format |
Conference Object |
author |
Cosne, Gautier Maze, Guillaume Tandeo, Pierre |
author_facet |
Cosne, Gautier Maze, Guillaume Tandeo, Pierre |
author_sort |
Cosne, Gautier |
title |
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics |
title_short |
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics |
title_full |
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics |
title_fullStr |
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics |
title_full_unstemmed |
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics |
title_sort |
coupling oceanic observation systems to study mesoscale ocean dynamics |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://imt-atlantique.hal.science/hal-02928416 https://imt-atlantique.hal.science/hal-02928416/document https://imt-atlantique.hal.science/hal-02928416/file/1910.08573.pdf |
op_coverage |
Vancouver, Canada |
geographic |
Canada |
geographic_facet |
Canada |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems https://imt-atlantique.hal.science/hal-02928416 NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada |
op_relation |
hal-02928416 https://imt-atlantique.hal.science/hal-02928416 https://imt-atlantique.hal.science/hal-02928416/document https://imt-atlantique.hal.science/hal-02928416/file/1910.08573.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766123587984424960 |