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

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 bu...

Full description

Bibliographic Details
Published in:Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Main Authors: Hewitt, Helene T., Ridley, Jeff K., Keen, Ann B., West, Alex E., Peterson, K. Andrew, Rae, Jamie G. L., Milton, Sean F., Bacon, Sheldon
Format: Article in Journal/Newspaper
Language:English
Published: The Royal Society 2015
Subjects:
Online Access:http://dx.doi.org/10.1098/rsta.2014.0161
https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0161
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2014.0161
id crroyalsociety:10.1098/rsta.2014.0161
record_format openpolar
spelling crroyalsociety:10.1098/rsta.2014.0161 2024-06-02T08:01:22+00:00 A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems Hewitt, Helene T. Ridley, Jeff K. Keen, Ann B. West, Alex E. Peterson, K. Andrew Rae, Jamie G. L. Milton, Sean F. Bacon, Sheldon 2015 http://dx.doi.org/10.1098/rsta.2014.0161 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0161 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2014.0161 en eng The Royal Society https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 373, issue 2045, page 20140161 ISSN 1364-503X 1471-2962 journal-article 2015 crroyalsociety https://doi.org/10.1098/rsta.2014.0161 2024-05-07T14:16:24Z 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. Article in Journal/Newspaper Arctic Sea ice The Royal Society Arctic Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373 2045 20140161
institution Open Polar
collection The Royal Society
op_collection_id crroyalsociety
language English
description 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.
format Article in Journal/Newspaper
author Hewitt, Helene T.
Ridley, Jeff K.
Keen, Ann B.
West, Alex E.
Peterson, K. Andrew
Rae, Jamie G. L.
Milton, Sean F.
Bacon, Sheldon
spellingShingle Hewitt, Helene T.
Ridley, Jeff K.
Keen, Ann B.
West, Alex E.
Peterson, K. Andrew
Rae, Jamie G. L.
Milton, Sean F.
Bacon, Sheldon
A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems
author_facet Hewitt, Helene T.
Ridley, Jeff K.
Keen, Ann B.
West, Alex E.
Peterson, K. Andrew
Rae, Jamie G. L.
Milton, Sean F.
Bacon, Sheldon
author_sort Hewitt, Helene T.
title A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems
title_short A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems
title_full A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems
title_fullStr A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems
title_full_unstemmed A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems
title_sort seamless approach to understanding and predicting arctic sea ice in met office modelling systems
publisher The Royal Society
publishDate 2015
url http://dx.doi.org/10.1098/rsta.2014.0161
https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0161
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2014.0161
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
volume 373, issue 2045, page 20140161
ISSN 1364-503X 1471-2962
op_rights https://royalsociety.org/journals/ethics-policies/data-sharing-mining/
op_doi https://doi.org/10.1098/rsta.2014.0161
container_title Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
container_volume 373
container_issue 2045
container_start_page 20140161
_version_ 1800745715942555648