Better constraints on the sea-ice state using global sea-ice data assimilation
International audience Short-term and decadal sea-ice prediction systems need a realistic initial state, generally obtained using ice-ocean model simulations with data assimilation. However, only sea-ice concentration and velocity data are currently assimilated. In this work, an ensemble Kalman filt...
Published in: | Geoscientific Model Development |
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Main Authors: | , , , , , |
Other Authors: | , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2012
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Online Access: | https://hal.science/hal-00912626 https://hal.science/hal-00912626/document https://hal.science/hal-00912626/file/gmd-5-1501-2012.pdf https://doi.org/10.5194/GMD-5-1501-2012 |
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Université de Nantes: HAL-UNIV-NANTES |
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English |
topic |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
spellingShingle |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] Mathiot, Pierre König Beatty, Christof Fichefet, Thierry Goosse, Hugues Massonnet, François Vancoppenolle, Martin Better constraints on the sea-ice state using global sea-ice data assimilation |
topic_facet |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
description |
International audience Short-term and decadal sea-ice prediction systems need a realistic initial state, generally obtained using ice-ocean model simulations with data assimilation. However, only sea-ice concentration and velocity data are currently assimilated. In this work, an ensemble Kalman filter system is used to assimilate observed ice concentration and freeboard (i.e. thickness of emerged) data into a global coupled ocean-sea-ice model. The impact and effectiveness of our data assimilation system is assessed in two steps: firstly, through the use of synthetic data (i.e. model-generated data), and secondly, through the assimilation of real satellite data. While ice concentrations are available daily, freeboard data used in this study are only available during six one-month periods spread over 2005-2007. Our results show that the simulated Arctic and Antarctic sea-ice extents are improved by the assimilation of synthetic ice concentration data. Assimilation of synthetic ice freeboard data improves the simulated sea-ice thickness field. Using real ice concentration data enhances the model realism in both hemispheres. Assimilation of ice concentration data significantly improves the total hemispheric sea-ice extent all year long, especially in summer. Combining the assimilation of ice freeboard and concentration data leads to better ice thickness, but does not further improve the ice extent. Moreover, the improvements in sea-ice thickness due to the assimilation of ice freeboard remain visible well beyond the assimilation periods. |
author2 |
British Antarctic Survey (BAS) Natural Environment Research Council (NERC) Centre Georges Lemaître for Earth and Climate Research Louvain (TECLIM) Earth and Life Institute Louvain-La-Neuve (ELI) Université Catholique de Louvain = Catholic University of Louvain (UCL)-Université Catholique de Louvain = Catholic University of Louvain (UCL) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Mathiot, Pierre König Beatty, Christof Fichefet, Thierry Goosse, Hugues Massonnet, François Vancoppenolle, Martin |
author_facet |
Mathiot, Pierre König Beatty, Christof Fichefet, Thierry Goosse, Hugues Massonnet, François Vancoppenolle, Martin |
author_sort |
Mathiot, Pierre |
title |
Better constraints on the sea-ice state using global sea-ice data assimilation |
title_short |
Better constraints on the sea-ice state using global sea-ice data assimilation |
title_full |
Better constraints on the sea-ice state using global sea-ice data assimilation |
title_fullStr |
Better constraints on the sea-ice state using global sea-ice data assimilation |
title_full_unstemmed |
Better constraints on the sea-ice state using global sea-ice data assimilation |
title_sort |
better constraints on the sea-ice state using global sea-ice data assimilation |
publisher |
HAL CCSD |
publishDate |
2012 |
url |
https://hal.science/hal-00912626 https://hal.science/hal-00912626/document https://hal.science/hal-00912626/file/gmd-5-1501-2012.pdf https://doi.org/10.5194/GMD-5-1501-2012 |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_source |
ISSN: 1991-9603 EISSN: 1991-959X Geoscientific Model Development https://hal.science/hal-00912626 Geoscientific Model Development, 2012, 5, pp.1501-1515. ⟨10.5194/GMD-5-1501-2012⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/GMD-5-1501-2012 hal-00912626 https://hal.science/hal-00912626 https://hal.science/hal-00912626/document https://hal.science/hal-00912626/file/gmd-5-1501-2012.pdf BIBCODE: 2012GMD.5.1501M doi:10.5194/GMD-5-1501-2012 WOS: 000312696000011 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/GMD-5-1501-2012 |
container_title |
Geoscientific Model Development |
container_volume |
5 |
container_issue |
6 |
container_start_page |
1501 |
op_container_end_page |
1515 |
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1766028442438991872 |
spelling |
ftunivnantes:oai:HAL:hal-00912626v1 2023-05-15T13:32:34+02:00 Better constraints on the sea-ice state using global sea-ice data assimilation Mathiot, Pierre König Beatty, Christof Fichefet, Thierry Goosse, Hugues Massonnet, François Vancoppenolle, Martin British Antarctic Survey (BAS) Natural Environment Research Council (NERC) Centre Georges Lemaître for Earth and Climate Research Louvain (TECLIM) Earth and Life Institute Louvain-La-Neuve (ELI) Université Catholique de Louvain = Catholic University of Louvain (UCL)-Université Catholique de Louvain = Catholic University of Louvain (UCL) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) 2012-12 https://hal.science/hal-00912626 https://hal.science/hal-00912626/document https://hal.science/hal-00912626/file/gmd-5-1501-2012.pdf https://doi.org/10.5194/GMD-5-1501-2012 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/GMD-5-1501-2012 hal-00912626 https://hal.science/hal-00912626 https://hal.science/hal-00912626/document https://hal.science/hal-00912626/file/gmd-5-1501-2012.pdf BIBCODE: 2012GMD.5.1501M doi:10.5194/GMD-5-1501-2012 WOS: 000312696000011 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1991-9603 EISSN: 1991-959X Geoscientific Model Development https://hal.science/hal-00912626 Geoscientific Model Development, 2012, 5, pp.1501-1515. ⟨10.5194/GMD-5-1501-2012⟩ [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] info:eu-repo/semantics/article Journal articles 2012 ftunivnantes https://doi.org/10.5194/GMD-5-1501-2012 2023-01-18T00:35:29Z International audience Short-term and decadal sea-ice prediction systems need a realistic initial state, generally obtained using ice-ocean model simulations with data assimilation. However, only sea-ice concentration and velocity data are currently assimilated. In this work, an ensemble Kalman filter system is used to assimilate observed ice concentration and freeboard (i.e. thickness of emerged) data into a global coupled ocean-sea-ice model. The impact and effectiveness of our data assimilation system is assessed in two steps: firstly, through the use of synthetic data (i.e. model-generated data), and secondly, through the assimilation of real satellite data. While ice concentrations are available daily, freeboard data used in this study are only available during six one-month periods spread over 2005-2007. Our results show that the simulated Arctic and Antarctic sea-ice extents are improved by the assimilation of synthetic ice concentration data. Assimilation of synthetic ice freeboard data improves the simulated sea-ice thickness field. Using real ice concentration data enhances the model realism in both hemispheres. Assimilation of ice concentration data significantly improves the total hemispheric sea-ice extent all year long, especially in summer. Combining the assimilation of ice freeboard and concentration data leads to better ice thickness, but does not further improve the ice extent. Moreover, the improvements in sea-ice thickness due to the assimilation of ice freeboard remain visible well beyond the assimilation periods. Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice Université de Nantes: HAL-UNIV-NANTES Antarctic Arctic Geoscientific Model Development 5 6 1501 1515 |