A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems

Hewitt, H.T.; Ridley, J.K.; Keen, A.B.; West, A.E.; Peterson, K.A.; Rae, J.G.L.; Milton, S.F.; Bacon, S. ORCID: https://orcid.org/0000-0002-2471-9373. 2015 A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373 (2045). 20140161. https://doi.org/10.1098/rsta.2014.0161

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Official URL: http://dx.doi.org/10.1098/rsta.2014.0161

Abstract/Summary

Recent CMIP5 models predict large losses of summer Arctic sea ice, with only mitigation scenarios showing sustainable summer ice. Sea ice is inherently part of the climate system, and heat fluxes affecting sea ice can be small residuals of much larger air–sea fluxes. We discuss analysis of energy budgets in the Met Office climate models which point to the importance of early summer processes (such as clouds and meltponds) in determining both the seasonal cycle and the trend in ice decline. We give examples from Met Office modelling systems to illustrate how the seamless use of models for forecasting on time scales from short range to decadal might help to unlock the drivers of high latitude biases in climate models.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1098/rsta.2014.0161
ISSN:	1364-503X
Date made live:	11 Jun 2015 14:51 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/511010

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1098/rsta.2014.0161

ISSN:

1364-503X

Date made live:

11 Jun 2015 14:51 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/511010