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Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model

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Title
Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model
Other Titles
CICE5를 활용한 다른 대기 재분석 자료에 의해 야기된 북극 해빙 두께의 불확실성연구
Authors
Lee, Su-Bong
Kim, Baek-Min
Ukita, Jinro
Ahn, Joong-Bae
Subject
Meteorology & Atmospheric Sciences
Keywords
Arctic; reanalysis; sea ice model; uncertainty
Issue Date
2019-07
Citation
Lee, Su-Bong, et al. 2019. "Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model". ATMOSPHERE, 10(7): 361-375.
Abstract
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.
URI
https://repository.kopri.re.kr/handle/201206/10990
DOI
http://dx.doi.org/10.3390/atmos10070361
Appears in Collections  
2019-2020, Korea-Arctic Ocean Observing System(K-AOOS) (19-20) / Kang, Sung-Ho (PM19040)
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