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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ftmdpi:oai:mdpi.com:/2073-4433/10/7/361/ 2023-08-20T04:03:43+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 agris 2019-06-30 application/pdf https://doi.org/10.3390/atmos10070361 EN eng Multidisciplinary Digital Publishing Institute Climatology https://dx.doi.org/10.3390/atmos10070361 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 10; Issue 7; Pages: 361 sea ice model reanalysis uncertainty Arctic Text 2019 ftmdpi https://doi.org/10.3390/atmos10070361 2023-07-31T22:23:58Z 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. Text Arctic Sea ice MDPI Open Access Publishing Arctic Atmosphere 10 7 361 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
sea ice model reanalysis uncertainty Arctic |
spellingShingle |
sea ice model reanalysis uncertainty Arctic 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 |
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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/atmos10070361 |
op_coverage |
agris |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Atmosphere; Volume 10; Issue 7; Pages: 361 |
op_relation |
Climatology https://dx.doi.org/10.3390/atmos10070361 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
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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1774714161936203776 |