A Singular Evolutive Extended Kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the North Atlantic ocean

Within the European DIADEM project, a data assimilation system for coupled ocean circulation and marine ecosystem models has been implemented for the North Atlantic and the Nordic Seas. One objective of this project is to demonstrate the relevance of sophisticated methods to assimilate satellite dat...

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Published in:Ocean Modelling
Main Authors: Carmillet, Valérie, Brankart, Jean-Michel, Brasseur, Pierre, Drange, Helge, Evensen, Geir, Verron, Jacques
Other Authors: Laboratoire des Écoulements Géophysiques et Industriels Grenoble (LEGI), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Nansen Environmental and Remote Sensing Center Bergen (NERSC)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2001
Subjects:
Online Access:https://hal.science/hal-00211988
https://doi.org/10.1016/S1463-5003(01)00007-5
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spelling ftunigrenoble:oai:HAL:hal-00211988v1 2024-05-19T07:36:53+00:00 A Singular Evolutive Extended Kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the North Atlantic ocean Carmillet, Valérie Brankart, Jean-Michel Brasseur, Pierre Drange, Helge Evensen, Geir Verron, Jacques Laboratoire des Écoulements Géophysiques et Industriels Grenoble (LEGI) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) Nansen Environmental and Remote Sensing Center Bergen (NERSC) 2001 https://hal.science/hal-00211988 https://doi.org/10.1016/S1463-5003(01)00007-5 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/S1463-5003(01)00007-5 hal-00211988 https://hal.science/hal-00211988 doi:10.1016/S1463-5003(01)00007-5 ISSN: 1463-5003 Ocean Modelling https://hal.science/hal-00211988 Ocean Modelling, 2001, 3, pp.167-192. ⟨10.1016/S1463-5003(01)00007-5⟩ Coupled models Kalman filter Ocean color North Atlantic [PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph] [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] info:eu-repo/semantics/article Journal articles 2001 ftunigrenoble https://doi.org/10.1016/S1463-5003(01)00007-5 2024-05-02T00:35:41Z Within the European DIADEM project, a data assimilation system for coupled ocean circulation and marine ecosystem models has been implemented for the North Atlantic and the Nordic Seas. One objective of this project is to demonstrate the relevance of sophisticated methods to assimilate satellite data such as altimetry, surface temperature and ocean color, into realistic ocean models. In this paper, the singular evolutive extended Kalman (SEEK) filter, which is an advanced assimilation scheme where three-dimensional, multivariate error statistics are taken into account, is used to assimilate ocean color data into the biological component of the coupled system. The marine ecosystem model, derived from the FDM model [J. Mar. Res. 48 (1990) 591], includes 11 nitrogen and carbon compartments and describes the synthesis of organic matter in the euphotic zone, its consumption by animals of upper trophic levels, and the recycling of detritic material in the deep ocean. The circulation model coupled to the ecosystem is the Miami isopycnic coordinate ocean model (MICOM), which covers the Atlantic and the Arctic Oceans with an enhanced resolution in the North Atlantic basin. The model is forced with realistic ECMWF ocean/atmosphere fluxes, which permits to resolve the seasonal variability of the circulation and mixed layer properties. In the twin assimimation experiments reported here, the predictions of the coupled model are corrected every 10 days using pseudo-measurements of surface phytoplankton as a substitute to chlorophyll concentrations measured from space. The diagnostics of these experiments indicate that the assimilation is feasible with a reduced-order Kalman filter of small rank (of order 10) as long as a sufficiently good identification of the error structure is available. In addition, the control of non-observed quantities such as zooplankton and nitrate concentrations is made possible, owing to the multivariate nature of the analysis scheme. However, a too severe truncation of the error sub-space downgrades ... Article in Journal/Newspaper Arctic Nordic Seas North Atlantic Phytoplankton Zooplankton Université Grenoble Alpes: HAL Ocean Modelling 3 3-4 167 192
institution Open Polar
collection Université Grenoble Alpes: HAL
op_collection_id ftunigrenoble
language English
topic Coupled models
Kalman filter
Ocean color
North Atlantic
[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]
[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
spellingShingle Coupled models
Kalman filter
Ocean color
North Atlantic
[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]
[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
Carmillet, Valérie
Brankart, Jean-Michel
Brasseur, Pierre
Drange, Helge
Evensen, Geir
Verron, Jacques
A Singular Evolutive Extended Kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the North Atlantic ocean
topic_facet Coupled models
Kalman filter
Ocean color
North Atlantic
[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]
[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
description Within the European DIADEM project, a data assimilation system for coupled ocean circulation and marine ecosystem models has been implemented for the North Atlantic and the Nordic Seas. One objective of this project is to demonstrate the relevance of sophisticated methods to assimilate satellite data such as altimetry, surface temperature and ocean color, into realistic ocean models. In this paper, the singular evolutive extended Kalman (SEEK) filter, which is an advanced assimilation scheme where three-dimensional, multivariate error statistics are taken into account, is used to assimilate ocean color data into the biological component of the coupled system. The marine ecosystem model, derived from the FDM model [J. Mar. Res. 48 (1990) 591], includes 11 nitrogen and carbon compartments and describes the synthesis of organic matter in the euphotic zone, its consumption by animals of upper trophic levels, and the recycling of detritic material in the deep ocean. The circulation model coupled to the ecosystem is the Miami isopycnic coordinate ocean model (MICOM), which covers the Atlantic and the Arctic Oceans with an enhanced resolution in the North Atlantic basin. The model is forced with realistic ECMWF ocean/atmosphere fluxes, which permits to resolve the seasonal variability of the circulation and mixed layer properties. In the twin assimimation experiments reported here, the predictions of the coupled model are corrected every 10 days using pseudo-measurements of surface phytoplankton as a substitute to chlorophyll concentrations measured from space. The diagnostics of these experiments indicate that the assimilation is feasible with a reduced-order Kalman filter of small rank (of order 10) as long as a sufficiently good identification of the error structure is available. In addition, the control of non-observed quantities such as zooplankton and nitrate concentrations is made possible, owing to the multivariate nature of the analysis scheme. However, a too severe truncation of the error sub-space downgrades ...
author2 Laboratoire des Écoulements Géophysiques et Industriels Grenoble (LEGI)
Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)
Nansen Environmental and Remote Sensing Center Bergen (NERSC)
format Article in Journal/Newspaper
author Carmillet, Valérie
Brankart, Jean-Michel
Brasseur, Pierre
Drange, Helge
Evensen, Geir
Verron, Jacques
author_facet Carmillet, Valérie
Brankart, Jean-Michel
Brasseur, Pierre
Drange, Helge
Evensen, Geir
Verron, Jacques
author_sort Carmillet, Valérie
title A Singular Evolutive Extended Kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the North Atlantic ocean
title_short A Singular Evolutive Extended Kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the North Atlantic ocean
title_full A Singular Evolutive Extended Kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the North Atlantic ocean
title_fullStr A Singular Evolutive Extended Kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the North Atlantic ocean
title_full_unstemmed A Singular Evolutive Extended Kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the North Atlantic ocean
title_sort singular evolutive extended kalman filter to assimilate ocean colour data in a coupled physical-biochemical model of the north atlantic ocean
publisher HAL CCSD
publishDate 2001
url https://hal.science/hal-00211988
https://doi.org/10.1016/S1463-5003(01)00007-5
genre Arctic
Nordic Seas
North Atlantic
Phytoplankton
Zooplankton
genre_facet Arctic
Nordic Seas
North Atlantic
Phytoplankton
Zooplankton
op_source ISSN: 1463-5003
Ocean Modelling
https://hal.science/hal-00211988
Ocean Modelling, 2001, 3, pp.167-192. ⟨10.1016/S1463-5003(01)00007-5⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/S1463-5003(01)00007-5
hal-00211988
https://hal.science/hal-00211988
doi:10.1016/S1463-5003(01)00007-5
op_doi https://doi.org/10.1016/S1463-5003(01)00007-5
container_title Ocean Modelling
container_volume 3
container_issue 3-4
container_start_page 167
op_container_end_page 192
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