Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter
Sea surface temperature (SST) data from the Copernicus Marine Environment Monitoring Service are assimilated into a pan-Arctic ice–ocean coupled model using the ensemble-based local singular evolutive interpolated Kalman (LSEIK) filter. This study found that the SST deviation between model hindcasts...
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AMER METEOROLOGICAL SOC
2017
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Online Access: | https://epic.awi.de/id/eprint/46133/ https://epic.awi.de/id/eprint/46133/1/Liang_etal_JTECH34_1985_2017.pdf http://journals.ametsoc.org/doi/10.1175/JTECH-D-16-0166.1 https://hdl.handle.net/10013/epic.31751e81-211c-40d1-90cd-0db3e075f4a3 https://hdl.handle.net/ |
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ftawi:oai:epic.awi.de:46133 2023-05-15T14:27:57+02:00 Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter Liang, Xi Yang, Qinghua Nerger, Lars Losa, Svetlana N. Zhao, Biao Zheng, Fei Zhang, Lin Wu, Lixin 2017-09-13 application/pdf https://epic.awi.de/id/eprint/46133/ https://epic.awi.de/id/eprint/46133/1/Liang_etal_JTECH34_1985_2017.pdf http://journals.ametsoc.org/doi/10.1175/JTECH-D-16-0166.1 https://hdl.handle.net/10013/epic.31751e81-211c-40d1-90cd-0db3e075f4a3 https://hdl.handle.net/ unknown AMER METEOROLOGICAL SOC https://epic.awi.de/id/eprint/46133/1/Liang_etal_JTECH34_1985_2017.pdf https://hdl.handle.net/ Liang, X. , Yang, Q. , Nerger, L. orcid:0000-0002-1908-1010 , Losa, S. N. orcid:0000-0003-2153-1954 , Zhao, B. , Zheng, F. , Zhang, L. and Wu, L. (2017) Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter , Journal of Atmospheric and Oceanic Technology, 34 (9), pp. 1985-1999 . doi:10.1175/JTECH-D-16-0166.1 <https://doi.org/10.1175/JTECH-D-16-0166.1> , hdl:10013/epic.31751e81-211c-40d1-90cd-0db3e075f4a3 EPIC3Journal of Atmospheric and Oceanic Technology, AMER METEOROLOGICAL SOC, 34(9), pp. 1985-1999, ISSN: 0739-0572 Article isiRev 2017 ftawi https://doi.org/10.1175/JTECH-D-16-0166.1 2021-12-24T15:43:31Z Sea surface temperature (SST) data from the Copernicus Marine Environment Monitoring Service are assimilated into a pan-Arctic ice–ocean coupled model using the ensemble-based local singular evolutive interpolated Kalman (LSEIK) filter. This study found that the SST deviation between model hindcasts and independent SST observations is reduced by the assimilation. Compared with model results without data assimilation, the deviation between the model hindcasts and independent SST observations has decreased by up to 0.28degC at the end of summer. The strongest SST improvements are located in the Greenland Sea, the Beaufort Sea, and the Canadian Arctic Archipelago. The SST assimilation also changes the sea ice concentration (SIC). Improvements of the ice concentrations are found in the Canadian Arctic Archipelago, the Beaufort Sea, and the central Arctic basin, while negative effects occur in the west area of the eastern Siberian Sea and the Laptev Sea. Also, sea ice thickness (SIT) benefits from ensemble SST assimilation.A comparison with upward-looking sonar observations reveals that hindcasts of SIT are improved in the Beaufort Sea by assimilating reliable SST observations into light ice areas. This study illustrates the advantages of assimilating SST observations into an ice–ocean coupled model system and suggests that SST assimilation can improve SIT hindcasts regionally during the melting season. Article in Journal/Newspaper Arctic Arctic Archipelago Arctic Basin Arctic Beaufort Sea Canadian Arctic Archipelago Greenland Greenland Sea laptev Laptev Sea Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Laptev Sea Canadian Arctic Archipelago Greenland Journal of Atmospheric and Oceanic Technology 34 9 1985 1999 |
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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 |
Sea surface temperature (SST) data from the Copernicus Marine Environment Monitoring Service are assimilated into a pan-Arctic ice–ocean coupled model using the ensemble-based local singular evolutive interpolated Kalman (LSEIK) filter. This study found that the SST deviation between model hindcasts and independent SST observations is reduced by the assimilation. Compared with model results without data assimilation, the deviation between the model hindcasts and independent SST observations has decreased by up to 0.28degC at the end of summer. The strongest SST improvements are located in the Greenland Sea, the Beaufort Sea, and the Canadian Arctic Archipelago. The SST assimilation also changes the sea ice concentration (SIC). Improvements of the ice concentrations are found in the Canadian Arctic Archipelago, the Beaufort Sea, and the central Arctic basin, while negative effects occur in the west area of the eastern Siberian Sea and the Laptev Sea. Also, sea ice thickness (SIT) benefits from ensemble SST assimilation.A comparison with upward-looking sonar observations reveals that hindcasts of SIT are improved in the Beaufort Sea by assimilating reliable SST observations into light ice areas. This study illustrates the advantages of assimilating SST observations into an ice–ocean coupled model system and suggests that SST assimilation can improve SIT hindcasts regionally during the melting season. |
format |
Article in Journal/Newspaper |
author |
Liang, Xi Yang, Qinghua Nerger, Lars Losa, Svetlana N. Zhao, Biao Zheng, Fei Zhang, Lin Wu, Lixin |
spellingShingle |
Liang, Xi Yang, Qinghua Nerger, Lars Losa, Svetlana N. Zhao, Biao Zheng, Fei Zhang, Lin Wu, Lixin Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter |
author_facet |
Liang, Xi Yang, Qinghua Nerger, Lars Losa, Svetlana N. Zhao, Biao Zheng, Fei Zhang, Lin Wu, Lixin |
author_sort |
Liang, Xi |
title |
Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter |
title_short |
Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter |
title_full |
Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter |
title_fullStr |
Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter |
title_full_unstemmed |
Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter |
title_sort |
assimilating copernicus sst data into a pan-arctic ice–ocean coupled model with a local seik filter |
publisher |
AMER METEOROLOGICAL SOC |
publishDate |
2017 |
url |
https://epic.awi.de/id/eprint/46133/ https://epic.awi.de/id/eprint/46133/1/Liang_etal_JTECH34_1985_2017.pdf http://journals.ametsoc.org/doi/10.1175/JTECH-D-16-0166.1 https://hdl.handle.net/10013/epic.31751e81-211c-40d1-90cd-0db3e075f4a3 https://hdl.handle.net/ |
geographic |
Arctic Laptev Sea Canadian Arctic Archipelago Greenland |
geographic_facet |
Arctic Laptev Sea Canadian Arctic Archipelago Greenland |
genre |
Arctic Arctic Archipelago Arctic Basin Arctic Beaufort Sea Canadian Arctic Archipelago Greenland Greenland Sea laptev Laptev Sea Sea ice |
genre_facet |
Arctic Arctic Archipelago Arctic Basin Arctic Beaufort Sea Canadian Arctic Archipelago Greenland Greenland Sea laptev Laptev Sea Sea ice |
op_source |
EPIC3Journal of Atmospheric and Oceanic Technology, AMER METEOROLOGICAL SOC, 34(9), pp. 1985-1999, ISSN: 0739-0572 |
op_relation |
https://epic.awi.de/id/eprint/46133/1/Liang_etal_JTECH34_1985_2017.pdf https://hdl.handle.net/ Liang, X. , Yang, Q. , Nerger, L. orcid:0000-0002-1908-1010 , Losa, S. N. orcid:0000-0003-2153-1954 , Zhao, B. , Zheng, F. , Zhang, L. and Wu, L. (2017) Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter , Journal of Atmospheric and Oceanic Technology, 34 (9), pp. 1985-1999 . doi:10.1175/JTECH-D-16-0166.1 <https://doi.org/10.1175/JTECH-D-16-0166.1> , hdl:10013/epic.31751e81-211c-40d1-90cd-0db3e075f4a3 |
op_doi |
https://doi.org/10.1175/JTECH-D-16-0166.1 |
container_title |
Journal of Atmospheric and Oceanic Technology |
container_volume |
34 |
container_issue |
9 |
container_start_page |
1985 |
op_container_end_page |
1999 |
_version_ |
1766302064604872704 |