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

Johnson, Mark Andrew; Proshutinsky, Andrey Y.; Aksenov, Yevgeny ORCID: https://orcid.org/0000-0001-6132-3434; Nguyen, An T.; Lindsay, Ron; Haas, Christian; Zhang, Jinlun; Diansky, Nikolay; Kwok, Ron; Maslowski, Wieslaw; Hakkinen, Sirpa; Ashik, Igor; de Cuevas, Beverly. 2012 Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models. Journal of Geophysical Research, 117. C00D13. 10.1029/2011JC007257

Full text not available from this repository. (Request a copy)

Abstract/Summary

Six AOMIP 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), 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 land-fast 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 four 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, generates 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 ECCO2 and UW models.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1029/2011JC007257
Programmes:	NOC Programmes
ISSN:	01480227
Date made live:	23 Jan 2012 17:15 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/308855

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1029/2011JC007257

Programmes:

NOC Programmes

ISSN:

01480227

Date made live:

23 Jan 2012 17:15 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/308855