Literature DB >> 26032315

Arctic sea ice trends, variability and implications for seasonal ice forecasting.

Mark C Serreze1, Julienne Stroeve2.   

Abstract

September Arctic sea ice extent over the period of satellite observations has a strong downward trend, accompanied by pronounced interannual variability with a detrended 1 year lag autocorrelation of essentially zero. We argue that through a combination of thinning and associated processes related to a warming climate (a stronger albedo feedback, a longer melt season, the lack of especially cold winters) the downward trend itself is steepening. The lack of autocorrelation manifests both the inherent large variability in summer atmospheric circulation patterns and that oceanic heat loss in winter acts as a negative (stabilizing) feedback, albeit insufficient to counter the steepening trend. These findings have implications for seasonal ice forecasting. In particular, while advances in observing sea ice thickness and assimilating thickness into coupled forecast systems have improved forecast skill, there remains an inherent limit to predictability owing to the largely chaotic nature of atmospheric variability.
© 2015 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  atmospheric variability; feedbacks; prediction; sea ice; trends

Year:  2015        PMID: 26032315      PMCID: PMC4455712          DOI: 10.1098/rsta.2014.0159

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


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