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Sea-ice thickness in the coastal northeastern Chukchi Sea from moored ice-profiling sonar
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Title: | Sea-ice thickness in the coastal northeastern Chukchi Sea from moored ice-profiling sonar |
Authors: | Fukamachi, Yasushi Browse this author →KAKEN DB | Simizu, Daisuke Browse this author | Ohshima, Kay I. Browse this author →KAKEN DB | Eicken, Hajo Browse this author | Mahoney, Andrew R. Browse this author | Iwamoto, Katsushi Browse this author | Moriya, Erika Browse this author | Nihashi, Sohey Browse this author |
Keywords: | sea ice | sea-ice geophysics | sea-ice growth and decay |
Issue Date: | 4-Oct-2017 |
Publisher: | Cambridge University Press |
Journal Title: | Journal of glaciology |
Volume: | 63 |
Issue: | 241 |
Start Page: | 888 |
End Page: | 898 |
Publisher DOI: | 10.1017/jog.2017.56 |
Abstract: | Time series ice-draft data were obtained from moored ice-profiling sonar (IPS), in the coastal northeastern Chukchi Sea during 2009/10. Time series data show seasonal growth of sea-ice draft, occasionally interrupted by coastal polynya. The sea-ice draft distribution indicates a slightly lower abundance of thick, deformed ice compared with the eastern Beaufort Sea. In January, a rapid increase in the abundance of thick ice coincided with a period of minimal drift indicating compaction again the coast and dynamical thickening. The overall mean draft and corresponding derived thickness are 1.27 and 1.38 m, respectively. The evolution of modal ice thickness observed can be explained mostly by thermodynamic growth. The derived ice thicknesses are used to estimate heat losses based on ERA-interim data. Heat losses from the raw, 1 s IPS data are ∼50 and 100% greater than those calculated using IPS data averaged over spatial scales of ∼20 and 100 km, respectively. This finding demonstrates the importance of subgrid-scale ice-thickness distribution for heat-loss calculation. The heat-loss estimate based on thin ice data derived from AMSR-E data corresponds well with that from the 1 s observed ice-thickness data, validating heat-loss estimates from the AMSR-E thin ice-thickness algorithm. |
Rights: | http://creativecommons.org/licenses/by/4.0/ |
Type: | article |
URI: | http://hdl.handle.net/2115/68262 |
Appears in Collections: | 国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 深町 康
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