Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models

dc.contributor.author Johnson, Mark
dc.contributor.author Proshutinsky, Andrey
dc.contributor.author Aksenov, Yevgeny
dc.contributor.author Nguyen, An T.
dc.contributor.author Lindsay, Ron
dc.contributor.author Haas, Christian
dc.contributor.author Zhang, Jinlun
dc.contributor.author Diansky, Nikolay
dc.contributor.author Kwok, Ron
dc.contributor.author Maslowski, Wieslaw
dc.contributor.author Hakkinen, Sirpa M. A.
dc.contributor.author Ashik, Igor M.
dc.contributor.author de Cuevas, Beverly
dc.date.accessioned 2012-04-10T14:22:04Z
dc.date.available 2014-10-22T08:57:25Z
dc.date.issued 2012-03-15
dc.description Author Posting. © American Geophysical Union, 2012. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 117 (2012): C00D13, doi:10.1029/2011JC007257. en_US
dc.description.abstract Six Arctic Ocean Model Intercomparison Project model simulations are compared with estimates of sea ice thickness derived from pan-Arctic satellite freeboard measurements (2004–2008); airborne electromagnetic measurements (2001–2009); ice draft data from moored instruments in Fram Strait, the Greenland Sea, and the Beaufort Sea (1992–2008) and from submarines (1975–2000); and drill hole data from the Arctic basin, Laptev, and East Siberian marginal seas (1982–1986) and coastal stations (1998–2009). Despite an assessment of six models that differ in numerical methods, resolution, domain, forcing, and boundary conditions, the models generally overestimate the thickness of measured ice thinner than ∼2 m and underestimate the thickness of ice measured thicker than about ∼2 m. In the regions of flat immobile landfast ice (shallow Siberian Seas with depths less than 25–30 m), the models generally overestimate both the total observed sea ice thickness and rates of September and October ice growth from observations by more than 4 times and more than one standard deviation, respectively. The models do not reproduce conditions of fast ice formation and growth. Instead, the modeled fast ice is replaced with pack ice which drifts, generating ridges of increasing ice thickness, in addition to thermodynamic ice growth. Considering all observational data sets, the better correlations and smaller differences from observations are from the Estimating the Circulation and Climate of the Ocean, Phase II and Pan-Arctic Ice Ocean Modeling and Assimilation System models. en_US
dc.description.embargo 2012-09-15
dc.description.sponsorship This research is supported by the National Science Foundation Office of Polar Programs covering awards of AOMIP collaborative research projects: ARC-0804180 (M.J.), ARC-0804010 (A.P.), ARC-0805141 (W.M.), ARC080789, and ARC0908769 (J.Z.). This research is also supported by the Russian Foundation of Basic Research, projects 09-05-00266 and 09-05-01231. At the National Oceanography Centre Southampton, this study was funded by the UK Natural Environment Research Council as a contribution to the Marine Centres’ Strategic Research Programme Oceans 2025. en_US
dc.format.mimetype application/pdf
dc.identifier.citation Journal of Geophysical Research 117 (2012): C00D13 en_US
dc.identifier.doi 10.1029/2011JC007257
dc.identifier.uri https://hdl.handle.net/1912/5122
dc.language.iso en_US en_US
dc.publisher American Geophysical Union en_US
dc.relation.uri https://doi.org/10.1029/2011JC007257
dc.subject AOMIP en_US
dc.subject ICESat en_US
dc.subject Ice thickness en_US
dc.subject Sea ice en_US
dc.title Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models en_US
dc.type Article en_US
dspace.entity.type Publication
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