Literature DB >> 24842027

Influence of stochastic sea ice parametrization on climate and the role of atmosphere-sea ice-ocean interaction.

Stephan Juricke1, Thomas Jung2.   

Abstract

The influence of a stochastic sea ice strength parametrization on the mean climate is investigated in a coupled atmosphere-sea ice-ocean model. The results are compared with an uncoupled simulation with a prescribed atmosphere. It is found that the stochastic sea ice parametrization causes an effective weakening of the sea ice. In the uncoupled model this leads to an Arctic sea ice volume increase of about 10-20% after an accumulation period of approximately 20-30 years. In the coupled model, no such increase is found. Rather, the stochastic perturbations lead to a spatial redistribution of the Arctic sea ice thickness field. A mechanism involving a slightly negative atmospheric feedback is proposed that can explain the different responses in the coupled and uncoupled system. Changes in integrated Antarctic sea ice quantities caused by the stochastic parametrization are generally small, as memory is lost during the melting season because of an almost complete loss of sea ice. However, stochastic sea ice perturbations affect regional sea ice characteristics in the Southern Hemisphere, both in the uncoupled and coupled model. Remote impacts of the stochastic sea ice parametrization on the mean climate of non-polar regions were found to be small.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  atmospheric feedbacks; model uncertainty; sea ice models; sea ice strength; stochastic parametrizations

Year:  2014        PMID: 24842027      PMCID: PMC4024236          DOI: 10.1098/rsta.2013.0283

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  High interannual variability of sea ice thickness in the Arctic region.

Authors:  Seymour Laxon; Neil Peacock; Doug Smith
Journal:  Nature       Date:  2003-10-30       Impact factor: 49.962

2.  Stochastic parametrizations and model uncertainty in the Lorenz '96 system.

Authors:  H M Arnold; I M Moroz; T N Palmer
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2013-04-15       Impact factor: 4.226

  2 in total

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