Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model
Operational forecasting systems routinely assimilate daily means of sea ice concentration (SIC) from microwave radiometers in order to improve the accuracy of the forecasts. However, the temporal and spatial averaging of the individual satellite swaths into daily means of SIC entails two main drawba...
Published in: | The Cryosphere |
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Copernicus Publications
2024
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00072731 2024-05-12T08:00:29+00:00 Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model Durán Moro, Marina Sperrevik, Ann Kristin Lavergne, Thomas Bertino, Laurent Gusdal, Yvonne Iversen, Silje Christine Rusin, Jozef 2024-04 electronic https://doi.org/10.5194/tc-18-1597-2024 https://noa.gwlb.de/receive/cop_mods_00072731 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070927/tc-18-1597-2024.pdf https://tc.copernicus.org/articles/18/1597/2024/tc-18-1597-2024.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-18-1597-2024 https://noa.gwlb.de/receive/cop_mods_00072731 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070927/tc-18-1597-2024.pdf https://tc.copernicus.org/articles/18/1597/2024/tc-18-1597-2024.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2024 ftnonlinearchiv https://doi.org/10.5194/tc-18-1597-2024 2024-04-15T23:39:04Z Operational forecasting systems routinely assimilate daily means of sea ice concentration (SIC) from microwave radiometers in order to improve the accuracy of the forecasts. However, the temporal and spatial averaging of the individual satellite swaths into daily means of SIC entails two main drawbacks: (i) the spatial resolution of the original product is blurred (especially critical in periods with strong sub-daily sea ice movement), and (ii) the sub-daily frequency of passive microwave observations in the Arctic are not used, providing less temporal resolution in the data assimilation (DA) analysis and, therefore, in the forecast. Within the SIRANO (Sea Ice Retrievals and data Assimilation in NOrway) project, we investigate how challenges (i) and (ii) can be avoided by assimilating individual satellite swaths (level 3 uncollated) instead of daily means (level 3) of SIC. To do so, we use a regional configuration of the Barents Sea (2.5 km grid) based on the Regional Ocean Modeling System (ROMS) and the Los Alamos Sea Ice Model (CICE) together with the ensemble Kalman filter (EnKF) as the DA system. The assimilation of individual swaths significantly improves the EnKF analysis of SIC compared to the assimilation of daily means; the mean absolute difference (MAD) shows a 10 % improvement at the end of the assimilation period and a 7 % improvement at the end of the 7 d forecast period. This improvement is caused by better exploitation of the information provided by the SIC swath data, in terms of both spatial and temporal variance, compared to the case when the swaths are combined to form a daily mean before assimilation. Article in Journal/Newspaper Arctic Barents Sea Sea ice The Cryosphere Niedersächsisches Online-Archiv NOA Arctic Barents Sea Norway The Cryosphere 18 4 1597 1619 |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Durán Moro, Marina Sperrevik, Ann Kristin Lavergne, Thomas Bertino, Laurent Gusdal, Yvonne Iversen, Silje Christine Rusin, Jozef Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model |
topic_facet |
article Verlagsveröffentlichung |
description |
Operational forecasting systems routinely assimilate daily means of sea ice concentration (SIC) from microwave radiometers in order to improve the accuracy of the forecasts. However, the temporal and spatial averaging of the individual satellite swaths into daily means of SIC entails two main drawbacks: (i) the spatial resolution of the original product is blurred (especially critical in periods with strong sub-daily sea ice movement), and (ii) the sub-daily frequency of passive microwave observations in the Arctic are not used, providing less temporal resolution in the data assimilation (DA) analysis and, therefore, in the forecast. Within the SIRANO (Sea Ice Retrievals and data Assimilation in NOrway) project, we investigate how challenges (i) and (ii) can be avoided by assimilating individual satellite swaths (level 3 uncollated) instead of daily means (level 3) of SIC. To do so, we use a regional configuration of the Barents Sea (2.5 km grid) based on the Regional Ocean Modeling System (ROMS) and the Los Alamos Sea Ice Model (CICE) together with the ensemble Kalman filter (EnKF) as the DA system. The assimilation of individual swaths significantly improves the EnKF analysis of SIC compared to the assimilation of daily means; the mean absolute difference (MAD) shows a 10 % improvement at the end of the assimilation period and a 7 % improvement at the end of the 7 d forecast period. This improvement is caused by better exploitation of the information provided by the SIC swath data, in terms of both spatial and temporal variance, compared to the case when the swaths are combined to form a daily mean before assimilation. |
format |
Article in Journal/Newspaper |
author |
Durán Moro, Marina Sperrevik, Ann Kristin Lavergne, Thomas Bertino, Laurent Gusdal, Yvonne Iversen, Silje Christine Rusin, Jozef |
author_facet |
Durán Moro, Marina Sperrevik, Ann Kristin Lavergne, Thomas Bertino, Laurent Gusdal, Yvonne Iversen, Silje Christine Rusin, Jozef |
author_sort |
Durán Moro, Marina |
title |
Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model |
title_short |
Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model |
title_full |
Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model |
title_fullStr |
Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model |
title_full_unstemmed |
Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model |
title_sort |
assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model |
publisher |
Copernicus Publications |
publishDate |
2024 |
url |
https://doi.org/10.5194/tc-18-1597-2024 https://noa.gwlb.de/receive/cop_mods_00072731 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070927/tc-18-1597-2024.pdf https://tc.copernicus.org/articles/18/1597/2024/tc-18-1597-2024.pdf |
geographic |
Arctic Barents Sea Norway |
geographic_facet |
Arctic Barents Sea Norway |
genre |
Arctic Barents Sea Sea ice The Cryosphere |
genre_facet |
Arctic Barents Sea Sea ice The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-18-1597-2024 https://noa.gwlb.de/receive/cop_mods_00072731 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070927/tc-18-1597-2024.pdf https://tc.copernicus.org/articles/18/1597/2024/tc-18-1597-2024.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-18-1597-2024 |
container_title |
The Cryosphere |
container_volume |
18 |
container_issue |
4 |
container_start_page |
1597 |
op_container_end_page |
1619 |
_version_ |
1798842388414726144 |