Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter
The decrease in summer sea-ice extent in the Arctic Ocean opens shipping routes and creates potential for many marine operations. For these activities accurate predictions of sea-ice conditions are required to maintain marine safety. In an attempt at Arctic sea-ice prediction, the summer of 2010 is...
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ftawi:oai:epic.awi.de:35967 2023-05-15T13:29:48+02:00 Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter Yang, Qinghua Loza, Svetlana N. Losch, Martin Liu, Jiping Zhang, Zhanghai Nerger, Lars Yang, Hu 2015 application/pdf https://epic.awi.de/id/eprint/35967/ https://epic.awi.de/id/eprint/35967/1/a69A740.pdf http://www.igsoc.org/annals/56/69/a69A740.html https://hdl.handle.net/10013/epic.43865 https://hdl.handle.net/10013/epic.43865.d001 unknown INT GLACIOL SOC https://epic.awi.de/id/eprint/35967/1/a69A740.pdf https://hdl.handle.net/10013/epic.43865.d001 Yang, Q. , Loza, S. N. orcid:0000-0003-2153-1954 , Losch, M. orcid:0000-0002-3824-5244 , Liu, J. , Zhang, Z. , Nerger, L. orcid:0000-0002-1908-1010 and Yang, H. orcid:0000-0003-2054-2256 (2015) Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter , Annals of Glaciology, 56 (69), pp. 38-44 . doi:10.3189/2015AoG69A740 <https://doi.org/10.3189/2015AoG69A740> , hdl:10013/epic.43865 EPIC3Annals of Glaciology, INT GLACIOL SOC, 56(69), pp. 38-44, ISSN: 0260-3055 Article isiRev 2015 ftawi https://doi.org/10.3189/2015AoG69A740 2021-12-24T15:39:43Z The decrease in summer sea-ice extent in the Arctic Ocean opens shipping routes and creates potential for many marine operations. For these activities accurate predictions of sea-ice conditions are required to maintain marine safety. In an attempt at Arctic sea-ice prediction, the summer of 2010 is selected to implement an Arctic sea-ice data assimilation (DA) study. The DA system is based on a regional Arctic configuration of the Massachusetts Institute of Technology general circulation model (MITgcm) and a local singular evolutive interpolated Kalman (LSEIK) filter to assimilate Special Sensor Microwave Imager/Sounder (SSMIS) sea-ice concentration operational products from the US National Snow and Ice Data Center (NSIDC). Based on comparisons with both the assimilated NSIDC SSMIS concentration and concentration data from the Ocean and Sea Ice Satellite Application Facility, the forecasted sea-ice edge and concentration improve upon simulations without data assimilation. By the nature of the assimilation algorithm with multivariate covariance between ice concentration and thickness, sea-ice thickness fields are also updated, and the evaluation with in situ observation shows some improvement compared to the forecast without data assimilation. Article in Journal/Newspaper Annals of Glaciology Arctic Arctic Ocean National Snow and Ice Data Center Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Arctic Ocean Annals of Glaciology 56 69 38 44 |
institution |
Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
The decrease in summer sea-ice extent in the Arctic Ocean opens shipping routes and creates potential for many marine operations. For these activities accurate predictions of sea-ice conditions are required to maintain marine safety. In an attempt at Arctic sea-ice prediction, the summer of 2010 is selected to implement an Arctic sea-ice data assimilation (DA) study. The DA system is based on a regional Arctic configuration of the Massachusetts Institute of Technology general circulation model (MITgcm) and a local singular evolutive interpolated Kalman (LSEIK) filter to assimilate Special Sensor Microwave Imager/Sounder (SSMIS) sea-ice concentration operational products from the US National Snow and Ice Data Center (NSIDC). Based on comparisons with both the assimilated NSIDC SSMIS concentration and concentration data from the Ocean and Sea Ice Satellite Application Facility, the forecasted sea-ice edge and concentration improve upon simulations without data assimilation. By the nature of the assimilation algorithm with multivariate covariance between ice concentration and thickness, sea-ice thickness fields are also updated, and the evaluation with in situ observation shows some improvement compared to the forecast without data assimilation. |
format |
Article in Journal/Newspaper |
author |
Yang, Qinghua Loza, Svetlana N. Losch, Martin Liu, Jiping Zhang, Zhanghai Nerger, Lars Yang, Hu |
spellingShingle |
Yang, Qinghua Loza, Svetlana N. Losch, Martin Liu, Jiping Zhang, Zhanghai Nerger, Lars Yang, Hu Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter |
author_facet |
Yang, Qinghua Loza, Svetlana N. Losch, Martin Liu, Jiping Zhang, Zhanghai Nerger, Lars Yang, Hu |
author_sort |
Yang, Qinghua |
title |
Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter |
title_short |
Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter |
title_full |
Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter |
title_fullStr |
Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter |
title_full_unstemmed |
Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter |
title_sort |
assimilating summer sea-ice concentration into a coupled ice–ocean model using a lseik filter |
publisher |
INT GLACIOL SOC |
publishDate |
2015 |
url |
https://epic.awi.de/id/eprint/35967/ https://epic.awi.de/id/eprint/35967/1/a69A740.pdf http://www.igsoc.org/annals/56/69/a69A740.html https://hdl.handle.net/10013/epic.43865 https://hdl.handle.net/10013/epic.43865.d001 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Annals of Glaciology Arctic Arctic Ocean National Snow and Ice Data Center Sea ice |
genre_facet |
Annals of Glaciology Arctic Arctic Ocean National Snow and Ice Data Center Sea ice |
op_source |
EPIC3Annals of Glaciology, INT GLACIOL SOC, 56(69), pp. 38-44, ISSN: 0260-3055 |
op_relation |
https://epic.awi.de/id/eprint/35967/1/a69A740.pdf https://hdl.handle.net/10013/epic.43865.d001 Yang, Q. , Loza, S. N. orcid:0000-0003-2153-1954 , Losch, M. orcid:0000-0002-3824-5244 , Liu, J. , Zhang, Z. , Nerger, L. orcid:0000-0002-1908-1010 and Yang, H. orcid:0000-0003-2054-2256 (2015) Assimilating summer sea-ice concentration into a coupled ice–ocean model using a LSEIK filter , Annals of Glaciology, 56 (69), pp. 38-44 . doi:10.3189/2015AoG69A740 <https://doi.org/10.3189/2015AoG69A740> , hdl:10013/epic.43865 |
op_doi |
https://doi.org/10.3189/2015AoG69A740 |
container_title |
Annals of Glaciology |
container_volume |
56 |
container_issue |
69 |
container_start_page |
38 |
op_container_end_page |
44 |
_version_ |
1766003267013181440 |