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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
Authors
Lee, Su-Bong
Kim, Baek-Min
Ukita, Jinro
Ahn, Joong-Bae
Issue Date
2019
Citation
Lee, Su-Bong, et al. 2019. Uncertainties in Arctic sea ice thickness associated with different atmospheric reanalysis datasets using the CICE5 model. 2019 Korean Meteorological Society fall academic conference. Gyeongju Hwabaek International Convention Center (HICO). 2019.10.30~2019.11.01.
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. Dierences in sea-ice concentration and thickness were primarily caused by dierences 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. Dierences in precipitation aected the sea ice volume by causing changes in the insulation eect 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/201206/12261
Conference Name
2019 Korean Meteorological Society fall academic conference
Conference Place
Gyeongju Hwabaek International Convention Center (HICO)
Conference Date
2019.10.30~2019.11.01
Appears in Collections  
2019-2020, Korea-Arctic Ocean Observing System(K-AOOS) (19-20) / Kang, Sung-Ho (PM19040)
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