Incremental Analysis Update implementation into a sequential ocean data assimilation system.
International audience This study deals with the enhancement of a sequential assimilation method applied to an ocean general circulation model (OGCM). A major drawback of sequential assimilation methods is the time discontinuity of the solution resulting from intermittent corrections of the model st...
Published in: | Journal of Atmospheric and Oceanic Technology |
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Main Authors: | , , , , |
Other Authors: | , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2006
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Subjects: | |
Online Access: | https://hal.science/hal-00724958 https://hal.science/hal-00724958/document https://hal.science/hal-00724958/file/%5B15200426%20-%20Journal%20of%20Atmospheric%20and%20Oceanic%20Technology%5D%20Incremental%20Analysis%20Update%20Implementation%20into%20a%20Sequential%20Ocean%20Data%20Assimilation%20System.pdf https://doi.org/10.1175/JTECH1947.1 |
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ftunivnantes:oai:HAL:hal-00724958v1 |
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Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
Data assimilation Algorithms General circulation model Ocean models Kalman filters [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
Data assimilation Algorithms General circulation model Ocean models Kalman filters [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Ourmieres, Yann Brankart, Jean-Michel Berline, L. Brasseur, Pierre Verron, Jacques Incremental Analysis Update implementation into a sequential ocean data assimilation system. |
topic_facet |
Data assimilation Algorithms General circulation model Ocean models Kalman filters [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience This study deals with the enhancement of a sequential assimilation method applied to an ocean general circulation model (OGCM). A major drawback of sequential assimilation methods is the time discontinuity of the solution resulting from intermittent corrections of the model state. The data analysis step can induce shocks in the model restart phase, causing spurious high-frequency oscillations and data rejection. A method called Incremental Analysis Update (IAU) is now recognized to efficiently tackle these problems. In the present work, an IAU-type method is implemented into an intermittent data assimilation system using a low-rank Kalman filter [Singular Evolutive Extended Kalman (SEEK)] in the case of an OGCM with a 1/3° North Atlantic grid. A 1-yr (1993) experiment has been conducted for different setups in order to evaluate the impact of the IAU scheme. Results from all of the different tests are compared with a specific interest in high-frequency output behaviors and solution consistency. The improvements brought up by the IAU implementation, such as the disappearance of spurious high-frequency oscillations and the time continuity of the solution, are shown. An overall assessment of the impact of this new approach on the assimilated runs is discussed. Advantages and drawbacks of the IAU method are pointed out. |
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) Modélisation des écoulements océaniques multiéchelles (MEOM) Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Laboratoire de sondages électromagnétiques de l'environnement terrestre (LSEET) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Ourmieres, Yann Brankart, Jean-Michel Berline, L. Brasseur, Pierre Verron, Jacques |
author_facet |
Ourmieres, Yann Brankart, Jean-Michel Berline, L. Brasseur, Pierre Verron, Jacques |
author_sort |
Ourmieres, Yann |
title |
Incremental Analysis Update implementation into a sequential ocean data assimilation system. |
title_short |
Incremental Analysis Update implementation into a sequential ocean data assimilation system. |
title_full |
Incremental Analysis Update implementation into a sequential ocean data assimilation system. |
title_fullStr |
Incremental Analysis Update implementation into a sequential ocean data assimilation system. |
title_full_unstemmed |
Incremental Analysis Update implementation into a sequential ocean data assimilation system. |
title_sort |
incremental analysis update implementation into a sequential ocean data assimilation system. |
publisher |
HAL CCSD |
publishDate |
2006 |
url |
https://hal.science/hal-00724958 https://hal.science/hal-00724958/document https://hal.science/hal-00724958/file/%5B15200426%20-%20Journal%20of%20Atmospheric%20and%20Oceanic%20Technology%5D%20Incremental%20Analysis%20Update%20Implementation%20into%20a%20Sequential%20Ocean%20Data%20Assimilation%20System.pdf https://doi.org/10.1175/JTECH1947.1 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ISSN: 0739-0572 EISSN: 1520-0426 Journal of Atmospheric and Oceanic Technology https://hal.science/hal-00724958 Journal of Atmospheric and Oceanic Technology, 2006, 23, pp.1. ⟨10.1175/JTECH1947.1⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1175/JTECH1947.1 hal-00724958 https://hal.science/hal-00724958 https://hal.science/hal-00724958/document https://hal.science/hal-00724958/file/%5B15200426%20-%20Journal%20of%20Atmospheric%20and%20Oceanic%20Technology%5D%20Incremental%20Analysis%20Update%20Implementation%20into%20a%20Sequential%20Ocean%20Data%20Assimilation%20System.pdf doi:10.1175/JTECH1947.1 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1175/JTECH1947.1 |
container_title |
Journal of Atmospheric and Oceanic Technology |
container_volume |
23 |
container_issue |
12 |
container_start_page |
1729 |
op_container_end_page |
1744 |
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1766132691936215040 |
spelling |
ftunivnantes:oai:HAL:hal-00724958v1 2023-05-15T17:34:00+02:00 Incremental Analysis Update implementation into a sequential ocean data assimilation system. Ourmieres, Yann Brankart, Jean-Michel Berline, L. Brasseur, Pierre 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) Modélisation des écoulements océaniques multiéchelles (MEOM) Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Laboratoire de sondages électromagnétiques de l'environnement terrestre (LSEET) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) 2006-12-05 https://hal.science/hal-00724958 https://hal.science/hal-00724958/document https://hal.science/hal-00724958/file/%5B15200426%20-%20Journal%20of%20Atmospheric%20and%20Oceanic%20Technology%5D%20Incremental%20Analysis%20Update%20Implementation%20into%20a%20Sequential%20Ocean%20Data%20Assimilation%20System.pdf https://doi.org/10.1175/JTECH1947.1 en eng HAL CCSD American Meteorological Society info:eu-repo/semantics/altIdentifier/doi/10.1175/JTECH1947.1 hal-00724958 https://hal.science/hal-00724958 https://hal.science/hal-00724958/document https://hal.science/hal-00724958/file/%5B15200426%20-%20Journal%20of%20Atmospheric%20and%20Oceanic%20Technology%5D%20Incremental%20Analysis%20Update%20Implementation%20into%20a%20Sequential%20Ocean%20Data%20Assimilation%20System.pdf doi:10.1175/JTECH1947.1 info:eu-repo/semantics/OpenAccess ISSN: 0739-0572 EISSN: 1520-0426 Journal of Atmospheric and Oceanic Technology https://hal.science/hal-00724958 Journal of Atmospheric and Oceanic Technology, 2006, 23, pp.1. ⟨10.1175/JTECH1947.1⟩ Data assimilation Algorithms General circulation model Ocean models Kalman filters [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2006 ftunivnantes https://doi.org/10.1175/JTECH1947.1 2023-03-01T02:36:30Z International audience This study deals with the enhancement of a sequential assimilation method applied to an ocean general circulation model (OGCM). A major drawback of sequential assimilation methods is the time discontinuity of the solution resulting from intermittent corrections of the model state. The data analysis step can induce shocks in the model restart phase, causing spurious high-frequency oscillations and data rejection. A method called Incremental Analysis Update (IAU) is now recognized to efficiently tackle these problems. In the present work, an IAU-type method is implemented into an intermittent data assimilation system using a low-rank Kalman filter [Singular Evolutive Extended Kalman (SEEK)] in the case of an OGCM with a 1/3° North Atlantic grid. A 1-yr (1993) experiment has been conducted for different setups in order to evaluate the impact of the IAU scheme. Results from all of the different tests are compared with a specific interest in high-frequency output behaviors and solution consistency. The improvements brought up by the IAU implementation, such as the disappearance of spurious high-frequency oscillations and the time continuity of the solution, are shown. An overall assessment of the impact of this new approach on the assimilated runs is discussed. Advantages and drawbacks of the IAU method are pointed out. Article in Journal/Newspaper North Atlantic Université de Nantes: HAL-UNIV-NANTES Journal of Atmospheric and Oceanic Technology 23 12 1729 1744 |