An ice-free arctic? Opportunities for computational science

L. Bruno Tremblay, Marika M. Holland, Irina V. Gorodetskaya, Gavin A. Schmidt

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The role of 3D general circulation models (GCM) in understanding the ice-ocean system, as well as its importance in predicting the future state of Arctic sea ice and many more models associated with it is discussed. One such model operating at high latitudes is the cloud-albedo feedback. When the sea-ice retreats, more ocean water is exposed to the atmosphere, leading to more evaporation. Douglas Martinson and Richard Iannuzzi have developed a simple bulk model based on the upper ocean's temperature and salinity profile. Another possible mechanism for the rapid decline in Arctic sea-ice cover is linked with ice-ocean-albedo feedback. A simple stand-alone viscous plastic sea-ice model coupled to a slab ocean and atmospheric energy balance model, which include thicker ice north of the Canadian Arctic Archipelago and thinner ice along the Eurasian Basin. Several institutions, including national research centers and universities are working on the development, numerical implementation, and coupling of new and improved climate models.

Original languageEnglish
Article number4160261
Pages (from-to)65-74
Number of pages10
JournalComputing in Science and Engineering
Volume9
Issue number3
DOIs
StatePublished - May 2007

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