Better constraints on the sea-ice state using global sea-ice data assimilation
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 as...
Published in: | Geoscientific Model Development |
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Online Access: | https://doi.org/10.5194/gmd-5-1501-2012 https://gmd.copernicus.org/articles/5/1501/2012/ |
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ftcopernicus:oai:publications.copernicus.org:gmd15602 2023-05-15T13:54:27+02:00 Better constraints on the sea-ice state using global sea-ice data assimilation Mathiot, P. König Beatty, C. Fichefet, T. Goosse, H. Massonnet, F. Vancoppenolle, M. 2018-09-27 info:eu-repo/semantics/application/pdf https://doi.org/10.5194/gmd-5-1501-2012 https://gmd.copernicus.org/articles/5/1501/2012/ eng eng info:eu-repo/grantAgreement/EC/FP7/226520 doi:10.5194/gmd-5-1501-2012 https://gmd.copernicus.org/articles/5/1501/2012/ info:eu-repo/semantics/openAccess eISSN: 1991-9603 info:eu-repo/semantics/Text 2018 ftcopernicus https://doi.org/10.5194/gmd-5-1501-2012 2020-07-20T16:25:38Z 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. Other/Unknown Material Antarc* Antarctic Arctic Sea ice Copernicus Publications: E-Journals Antarctic Arctic Geoscientific Model Development 5 6 1501 1515 |
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Open Polar |
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Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
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. |
format |
Other/Unknown Material |
author |
Mathiot, P. König Beatty, C. Fichefet, T. Goosse, H. Massonnet, F. Vancoppenolle, M. |
spellingShingle |
Mathiot, P. König Beatty, C. Fichefet, T. Goosse, H. Massonnet, F. Vancoppenolle, M. Better constraints on the sea-ice state using global sea-ice data assimilation |
author_facet |
Mathiot, P. König Beatty, C. Fichefet, T. Goosse, H. Massonnet, F. Vancoppenolle, M. |
author_sort |
Mathiot, P. |
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 |
publishDate |
2018 |
url |
https://doi.org/10.5194/gmd-5-1501-2012 https://gmd.copernicus.org/articles/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 |
eISSN: 1991-9603 |
op_relation |
info:eu-repo/grantAgreement/EC/FP7/226520 doi:10.5194/gmd-5-1501-2012 https://gmd.copernicus.org/articles/5/1501/2012/ |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/gmd-5-1501-2012 |
container_title |
Geoscientific Model Development |
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5 |
container_issue |
6 |
container_start_page |
1501 |
op_container_end_page |
1515 |
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1766260385623572480 |