Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model
Reanalysis data are known to have relatively large uncertainties in the polar region than at lower latitudes. In this study, we used a single sea-ice model (Los Alamos’ CICE5) and three sets of reanalysis data to quantify the sensitivities of simulated Arctic sea ice area and volume to perturbed atm...
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Online Access: | https://doi.org/10.3390/atmos10070361 https://doaj.org/article/1907bf8087c243328aeb91ce957dad53 |
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ftdoajarticles:oai:doaj.org/article:1907bf8087c243328aeb91ce957dad53 2023-05-15T14:44:33+02:00 Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model Su-Bong Lee Baek-Min Kim Jinro Ukita Joong-Bae Ahn 2019-06-01T00:00:00Z https://doi.org/10.3390/atmos10070361 https://doaj.org/article/1907bf8087c243328aeb91ce957dad53 EN eng MDPI AG https://www.mdpi.com/2073-4433/10/7/361 https://doaj.org/toc/2073-4433 2073-4433 doi:10.3390/atmos10070361 https://doaj.org/article/1907bf8087c243328aeb91ce957dad53 Atmosphere, Vol 10, Iss 7, p 361 (2019) sea ice model reanalysis uncertainty Arctic Meteorology. Climatology QC851-999 article 2019 ftdoajarticles https://doi.org/10.3390/atmos10070361 2022-12-30T21:17:24Z Reanalysis data are known to have relatively large uncertainties in the polar region than at lower latitudes. In this study, we used a single sea-ice model (Los Alamos’ CICE5) and three sets of reanalysis data to quantify the sensitivities of simulated Arctic sea ice area and volume to perturbed atmospheric forcings. The simulated sea ice area and thickness thus volume were clearly sensitive to the selection of atmospheric reanalysis data. Among the forcing variables, changes in radiative and sensible/latent heat fluxes caused significant amounts of sensitivities. Differences in sea-ice concentration and thickness were primarily caused by differences in downward shortwave and longwave radiations. 2-m air temperature also has a significant influence on year-to-year variability of the sea ice volume. Differences in precipitation affected the sea ice volume by causing changes in the insulation effect of snow-cover on sea ice. The diversity of sea ice extent and thickness responses due to uncertainties in atmospheric variables highlights the need to carefully evaluate reanalysis data over the Arctic region. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Atmosphere 10 7 361 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
sea ice model reanalysis uncertainty Arctic Meteorology. Climatology QC851-999 |
spellingShingle |
sea ice model reanalysis uncertainty Arctic Meteorology. Climatology QC851-999 Su-Bong Lee Baek-Min Kim Jinro Ukita Joong-Bae Ahn Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model |
topic_facet |
sea ice model reanalysis uncertainty Arctic Meteorology. Climatology QC851-999 |
description |
Reanalysis data are known to have relatively large uncertainties in the polar region than at lower latitudes. In this study, we used a single sea-ice model (Los Alamos’ CICE5) and three sets of reanalysis data to quantify the sensitivities of simulated Arctic sea ice area and volume to perturbed atmospheric forcings. The simulated sea ice area and thickness thus volume were clearly sensitive to the selection of atmospheric reanalysis data. Among the forcing variables, changes in radiative and sensible/latent heat fluxes caused significant amounts of sensitivities. Differences in sea-ice concentration and thickness were primarily caused by differences in downward shortwave and longwave radiations. 2-m air temperature also has a significant influence on year-to-year variability of the sea ice volume. Differences in precipitation affected the sea ice volume by causing changes in the insulation effect of snow-cover on sea ice. The diversity of sea ice extent and thickness responses due to uncertainties in atmospheric variables highlights the need to carefully evaluate reanalysis data over the Arctic region. |
format |
Article in Journal/Newspaper |
author |
Su-Bong Lee Baek-Min Kim Jinro Ukita Joong-Bae Ahn |
author_facet |
Su-Bong Lee Baek-Min Kim Jinro Ukita Joong-Bae Ahn |
author_sort |
Su-Bong Lee |
title |
Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model |
title_short |
Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model |
title_full |
Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model |
title_fullStr |
Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model |
title_full_unstemmed |
Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model |
title_sort |
uncertainties in arctic sea ice thickness associated with different atmospheric reanalysis datasets using the cice5 model |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/atmos10070361 https://doaj.org/article/1907bf8087c243328aeb91ce957dad53 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Atmosphere, Vol 10, Iss 7, p 361 (2019) |
op_relation |
https://www.mdpi.com/2073-4433/10/7/361 https://doaj.org/toc/2073-4433 2073-4433 doi:10.3390/atmos10070361 https://doaj.org/article/1907bf8087c243328aeb91ce957dad53 |
op_doi |
https://doi.org/10.3390/atmos10070361 |
container_title |
Atmosphere |
container_volume |
10 |
container_issue |
7 |
container_start_page |
361 |
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1766316045463715840 |