Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration
Abstract The impact of assimilating satellite-retrieved Arctic sea ice thickness (SIT) on simulating sea ice concentration (SIC) climatology in CICE5 is examined using a data assimilation (DA) system based on the ensemble optimal interpolation. The DA of the SIT satellite data of CryoSat-2 and SMOS...
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ftdoajarticles:oai:doaj.org/article:6e42475880c04271b512ea4c38301e64 2023-07-23T04:13:03+02:00 Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration Jeong-Gil Lee Yoo-Geun Ham 2023-06-01T00:00:00Z https://doi.org/10.1038/s41612-023-00402-6 https://doaj.org/article/6e42475880c04271b512ea4c38301e64 EN eng Nature Portfolio https://doi.org/10.1038/s41612-023-00402-6 https://doaj.org/toc/2397-3722 doi:10.1038/s41612-023-00402-6 2397-3722 https://doaj.org/article/6e42475880c04271b512ea4c38301e64 npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-12 (2023) Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2023 ftdoajarticles https://doi.org/10.1038/s41612-023-00402-6 2023-07-02T00:41:02Z Abstract The impact of assimilating satellite-retrieved Arctic sea ice thickness (SIT) on simulating sea ice concentration (SIC) climatology in CICE5 is examined using a data assimilation (DA) system based on the ensemble optimal interpolation. The DA of the SIT satellite data of CryoSat-2 and SMOS during 2011–2019 significantly reduces the climatological bias of SIC and SIT in both sea ice melting and growing seasons. Moreover, the response of SIC to SIT change is strongly dependent on the seasons and latitudinal locations. The SIT in the inner ice zone thickens due to the SIT DA during the boreal winter wherein the SIT observation is available; the ice melting throughout the subsequent seasons is attenuated to increase SIC during the boreal summer to reduce the simultaneous SIC bias. In marginal ice zones, the positive SIT bias depicted in the control simulation is significantly reduced by SIT DA, which reduces the positive SIC bias. The idealized experiments of reducing the SIT show that the enhanced ice bottom melting process plays a crucial role in reducing the SIC; the prescribed SIT thinning increases the ice bulk salinity due to the weak gravity drainage of brine and increases the ice bulk temperature due to the decrease of the sea ice albedo. The augmentation of the ice salinity and temperature contributes to the shrinkage of the ice enthalpy, boosting the bottom melting process, which leads to SIC decrease. Article in Journal/Newspaper albedo Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic npj Climate and Atmospheric Science 6 1 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Jeong-Gil Lee Yoo-Geun Ham Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration |
topic_facet |
Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
Abstract The impact of assimilating satellite-retrieved Arctic sea ice thickness (SIT) on simulating sea ice concentration (SIC) climatology in CICE5 is examined using a data assimilation (DA) system based on the ensemble optimal interpolation. The DA of the SIT satellite data of CryoSat-2 and SMOS during 2011–2019 significantly reduces the climatological bias of SIC and SIT in both sea ice melting and growing seasons. Moreover, the response of SIC to SIT change is strongly dependent on the seasons and latitudinal locations. The SIT in the inner ice zone thickens due to the SIT DA during the boreal winter wherein the SIT observation is available; the ice melting throughout the subsequent seasons is attenuated to increase SIC during the boreal summer to reduce the simultaneous SIC bias. In marginal ice zones, the positive SIT bias depicted in the control simulation is significantly reduced by SIT DA, which reduces the positive SIC bias. The idealized experiments of reducing the SIT show that the enhanced ice bottom melting process plays a crucial role in reducing the SIC; the prescribed SIT thinning increases the ice bulk salinity due to the weak gravity drainage of brine and increases the ice bulk temperature due to the decrease of the sea ice albedo. The augmentation of the ice salinity and temperature contributes to the shrinkage of the ice enthalpy, boosting the bottom melting process, which leads to SIC decrease. |
format |
Article in Journal/Newspaper |
author |
Jeong-Gil Lee Yoo-Geun Ham |
author_facet |
Jeong-Gil Lee Yoo-Geun Ham |
author_sort |
Jeong-Gil Lee |
title |
Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration |
title_short |
Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration |
title_full |
Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration |
title_fullStr |
Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration |
title_full_unstemmed |
Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration |
title_sort |
impact of satellite thickness data assimilation on bias reduction in arctic sea ice concentration |
publisher |
Nature Portfolio |
publishDate |
2023 |
url |
https://doi.org/10.1038/s41612-023-00402-6 https://doaj.org/article/6e42475880c04271b512ea4c38301e64 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Sea ice |
genre_facet |
albedo Arctic Sea ice |
op_source |
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-12 (2023) |
op_relation |
https://doi.org/10.1038/s41612-023-00402-6 https://doaj.org/toc/2397-3722 doi:10.1038/s41612-023-00402-6 2397-3722 https://doaj.org/article/6e42475880c04271b512ea4c38301e64 |
op_doi |
https://doi.org/10.1038/s41612-023-00402-6 |
container_title |
npj Climate and Atmospheric Science |
container_volume |
6 |
container_issue |
1 |
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1772176354777759744 |