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Open AccessArticle

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

1
Korea Polar Research Institute, Incheon 21990, Korea
2
Division of Earth Environmental System, Pusan National University, Busan 46241, Korea
3
Division of Environmental Atmospheric Science, Pukyong National University, Busan 48513, Korea
4
Faculty of Science, Niigata University, Niigata 8050, Japan
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(7), 361; https://doi.org/10.3390/atmos10070361
Received: 28 April 2019 / Revised: 28 June 2019 / Accepted: 28 June 2019 / Published: 30 June 2019
(This article belongs to the Special Issue Atmospheric Processes Shaping Arctic Climate)
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. View Full-Text
Keywords: sea ice model; reanalysis; uncertainty; Arctic sea ice model; reanalysis; uncertainty; Arctic
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Lee, S.-B.; Kim, B.-M.; Ukita, J.; Ahn, J.-B. Uncertainties in Arctic Sea Ice Thickness Associated with Different Atmospheric Reanalysis Datasets Using the CICE5 Model. Atmosphere 2019, 10, 361.

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