Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard
An operational ocean and sea ice forecast model, Barents-2.5, is implemented for short-term forecasting at the coast off northern Norway, the Barents Sea, and the waters around Svalbard. Primary forecast parameters are sea ice concentration (SIC), sea surface temperature (SST), and ocean currents. T...
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Language: | English |
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Copernicus Publications
2023
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00068958 2023-10-09T21:49:04+02:00 Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard Röhrs, Johannes Gusdal, Yvonne Rikardsen, Edel S. U. Durán Moro, Marina Brændshøi, Jostein Kristensen, Nils Melsom Fritzner, Sindre Wang, Keguang Sperrevik, Ann Kristin Idžanović, Martina Lavergne, Thomas Debernard, Jens Boldingh Christensen, Kai H. 2023-09 electronic https://doi.org/10.5194/gmd-16-5401-2023 https://noa.gwlb.de/receive/cop_mods_00068958 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067363/gmd-16-5401-2023.pdf https://gmd.copernicus.org/articles/16/5401/2023/gmd-16-5401-2023.pdf eng eng Copernicus Publications Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-16-5401-2023 https://noa.gwlb.de/receive/cop_mods_00068958 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067363/gmd-16-5401-2023.pdf https://gmd.copernicus.org/articles/16/5401/2023/gmd-16-5401-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/gmd-16-5401-2023 2023-09-24T23:21:37Z An operational ocean and sea ice forecast model, Barents-2.5, is implemented for short-term forecasting at the coast off northern Norway, the Barents Sea, and the waters around Svalbard. Primary forecast parameters are sea ice concentration (SIC), sea surface temperature (SST), and ocean currents. The model also provides input data for drift modeling of pollutants, icebergs, and search-and-rescue applications in the Arctic domain. Barents-2.5 has recently been upgraded to include an ensemble prediction system with 24 daily realizations of the model state. SIC, SST, and in situ hydrography are constrained through the ensemble Kalman filter (EnKF) data assimilation scheme executed in daily forecast cycles with a lead time up to 66 h. Here, we present the model setup and validation in terms of SIC, SST, in situ hydrography, and ocean and ice velocities. In addition to the model's forecast capabilities for SIC and SST, the performance of the ensemble in representing the model's uncertainty and the performance of the EnKF in constraining the model state are discussed. Article in Journal/Newspaper Arctic Barents Sea Iceberg* Northern Norway Sea ice Svalbard Niedersächsisches Online-Archiv NOA Arctic Barents Sea Norway Svalbard Geoscientific Model Development 16 18 5401 5426 |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Röhrs, Johannes Gusdal, Yvonne Rikardsen, Edel S. U. Durán Moro, Marina Brændshøi, Jostein Kristensen, Nils Melsom Fritzner, Sindre Wang, Keguang Sperrevik, Ann Kristin Idžanović, Martina Lavergne, Thomas Debernard, Jens Boldingh Christensen, Kai H. Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard |
topic_facet |
article Verlagsveröffentlichung |
description |
An operational ocean and sea ice forecast model, Barents-2.5, is implemented for short-term forecasting at the coast off northern Norway, the Barents Sea, and the waters around Svalbard. Primary forecast parameters are sea ice concentration (SIC), sea surface temperature (SST), and ocean currents. The model also provides input data for drift modeling of pollutants, icebergs, and search-and-rescue applications in the Arctic domain. Barents-2.5 has recently been upgraded to include an ensemble prediction system with 24 daily realizations of the model state. SIC, SST, and in situ hydrography are constrained through the ensemble Kalman filter (EnKF) data assimilation scheme executed in daily forecast cycles with a lead time up to 66 h. Here, we present the model setup and validation in terms of SIC, SST, in situ hydrography, and ocean and ice velocities. In addition to the model's forecast capabilities for SIC and SST, the performance of the ensemble in representing the model's uncertainty and the performance of the EnKF in constraining the model state are discussed. |
format |
Article in Journal/Newspaper |
author |
Röhrs, Johannes Gusdal, Yvonne Rikardsen, Edel S. U. Durán Moro, Marina Brændshøi, Jostein Kristensen, Nils Melsom Fritzner, Sindre Wang, Keguang Sperrevik, Ann Kristin Idžanović, Martina Lavergne, Thomas Debernard, Jens Boldingh Christensen, Kai H. |
author_facet |
Röhrs, Johannes Gusdal, Yvonne Rikardsen, Edel S. U. Durán Moro, Marina Brændshøi, Jostein Kristensen, Nils Melsom Fritzner, Sindre Wang, Keguang Sperrevik, Ann Kristin Idžanović, Martina Lavergne, Thomas Debernard, Jens Boldingh Christensen, Kai H. |
author_sort |
Röhrs, Johannes |
title |
Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard |
title_short |
Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard |
title_full |
Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard |
title_fullStr |
Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard |
title_full_unstemmed |
Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard |
title_sort |
barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the barents sea and svalbard |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/gmd-16-5401-2023 https://noa.gwlb.de/receive/cop_mods_00068958 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067363/gmd-16-5401-2023.pdf https://gmd.copernicus.org/articles/16/5401/2023/gmd-16-5401-2023.pdf |
geographic |
Arctic Barents Sea Norway Svalbard |
geographic_facet |
Arctic Barents Sea Norway Svalbard |
genre |
Arctic Barents Sea Iceberg* Northern Norway Sea ice Svalbard |
genre_facet |
Arctic Barents Sea Iceberg* Northern Norway Sea ice Svalbard |
op_relation |
Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-16-5401-2023 https://noa.gwlb.de/receive/cop_mods_00068958 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067363/gmd-16-5401-2023.pdf https://gmd.copernicus.org/articles/16/5401/2023/gmd-16-5401-2023.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/gmd-16-5401-2023 |
container_title |
Geoscientific Model Development |
container_volume |
16 |
container_issue |
18 |
container_start_page |
5401 |
op_container_end_page |
5426 |
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1779312101110579200 |