Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle

A fine-resolution (1/10°) ocean/sea ice model configured in the Community Earth System Model framework is compared with observations and studied to determine the basin-scale and local balances controlling the variability of sea ice anomalies from the mean seasonal cycle in the Bering Sea for the tim...

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Published in:Ocean Dynamics
Main Authors: Li, Linghan, Miller, Arthur J, McClean, Julie L, Eisenman, Ian, Hendershott, Myrl C
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2014
Subjects:
Online Access:https://escholarship.org/uc/item/0hf728tg
https://escholarship.org/content/qt0hf728tg/qt0hf728tg.pdf
https://doi.org/10.1007/s10236-014-0769-7
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spelling ftcdlib:oai:escholarship.org:ark:/13030/qt0hf728tg 2024-09-15T17:59:25+00:00 Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle Li, Linghan Miller, Arthur J McClean, Julie L Eisenman, Ian Hendershott, Myrl C 1693 - 1717 2014-12-01 application/pdf https://escholarship.org/uc/item/0hf728tg https://escholarship.org/content/qt0hf728tg/qt0hf728tg.pdf https://doi.org/10.1007/s10236-014-0769-7 unknown eScholarship, University of California qt0hf728tg https://escholarship.org/uc/item/0hf728tg https://escholarship.org/content/qt0hf728tg/qt0hf728tg.pdf doi:10.1007/s10236-014-0769-7 public Ocean Dynamics, vol 64, iss 12 Climate Action Life Below Water Bering Sea Climate dynamics Ice growth/melt Interannual variability Sea ice Sea ice motion Geology Oceanography article 2014 ftcdlib https://doi.org/10.1007/s10236-014-0769-7 2024-06-28T06:28:20Z A fine-resolution (1/10°) ocean/sea ice model configured in the Community Earth System Model framework is compared with observations and studied to determine the basin-scale and local balances controlling the variability of sea ice anomalies from the mean seasonal cycle in the Bering Sea for the time period 1980–1989. The model produces variations in total Bering Sea ice area anomalies that are highly correlated with observations. Surface air temperature, which is specified from reanalysis atmospheric forcing, strongly controls the ice volume variability in this simulation. The thermodynamic ice volume change is dominated by surface energy flux via atmosphere-ice sensible heat flux, except near the southern ice edge where it is largely controlled by ocean-ice heat flux. While thermodynamic processes dominate the variations in ice volume in the Bering Sea on the large scale, dynamic processes are important on the local scale near ice margins (both oceanic and land), where dynamic and thermodynamic ice volume changes have opposite signs and nearly cancel each other. Ice motion is generally consistent with winds driving the flow, except near certain straits in the north where ice motion largely follows ocean currents. Two key climate events, strong ice growth with cold air temperature and northerly wind anomaliesin February 1984 and weak ice growth with warm air temperature and southerly wind anomaliesin February 1989, are studied here in detail. While the processes controlling the ice changes are generally similar to those in other years, these large events help reveal the characteristic spatial patterns of ice growth/melt and transport anomalies. Article in Journal/Newspaper Bering Sea Sea ice University of California: eScholarship Ocean Dynamics 64 12 1693 1717
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language unknown
topic Climate Action
Life Below Water
Bering Sea
Climate dynamics
Ice growth/melt
Interannual variability
Sea ice
Sea ice motion
Geology
Oceanography
spellingShingle Climate Action
Life Below Water
Bering Sea
Climate dynamics
Ice growth/melt
Interannual variability
Sea ice
Sea ice motion
Geology
Oceanography
Li, Linghan
Miller, Arthur J
McClean, Julie L
Eisenman, Ian
Hendershott, Myrl C
Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle
topic_facet Climate Action
Life Below Water
Bering Sea
Climate dynamics
Ice growth/melt
Interannual variability
Sea ice
Sea ice motion
Geology
Oceanography
description A fine-resolution (1/10°) ocean/sea ice model configured in the Community Earth System Model framework is compared with observations and studied to determine the basin-scale and local balances controlling the variability of sea ice anomalies from the mean seasonal cycle in the Bering Sea for the time period 1980–1989. The model produces variations in total Bering Sea ice area anomalies that are highly correlated with observations. Surface air temperature, which is specified from reanalysis atmospheric forcing, strongly controls the ice volume variability in this simulation. The thermodynamic ice volume change is dominated by surface energy flux via atmosphere-ice sensible heat flux, except near the southern ice edge where it is largely controlled by ocean-ice heat flux. While thermodynamic processes dominate the variations in ice volume in the Bering Sea on the large scale, dynamic processes are important on the local scale near ice margins (both oceanic and land), where dynamic and thermodynamic ice volume changes have opposite signs and nearly cancel each other. Ice motion is generally consistent with winds driving the flow, except near certain straits in the north where ice motion largely follows ocean currents. Two key climate events, strong ice growth with cold air temperature and northerly wind anomaliesin February 1984 and weak ice growth with warm air temperature and southerly wind anomaliesin February 1989, are studied here in detail. While the processes controlling the ice changes are generally similar to those in other years, these large events help reveal the characteristic spatial patterns of ice growth/melt and transport anomalies.
format Article in Journal/Newspaper
author Li, Linghan
Miller, Arthur J
McClean, Julie L
Eisenman, Ian
Hendershott, Myrl C
author_facet Li, Linghan
Miller, Arthur J
McClean, Julie L
Eisenman, Ian
Hendershott, Myrl C
author_sort Li, Linghan
title Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle
title_short Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle
title_full Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle
title_fullStr Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle
title_full_unstemmed Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle
title_sort processes driving sea ice variability in the bering sea in an eddying ocean/sea ice model: anomalies from the mean seasonal cycle
publisher eScholarship, University of California
publishDate 2014
url https://escholarship.org/uc/item/0hf728tg
https://escholarship.org/content/qt0hf728tg/qt0hf728tg.pdf
https://doi.org/10.1007/s10236-014-0769-7
op_coverage 1693 - 1717
genre Bering Sea
Sea ice
genre_facet Bering Sea
Sea ice
op_source Ocean Dynamics, vol 64, iss 12
op_relation qt0hf728tg
https://escholarship.org/uc/item/0hf728tg
https://escholarship.org/content/qt0hf728tg/qt0hf728tg.pdf
doi:10.1007/s10236-014-0769-7
op_rights public
op_doi https://doi.org/10.1007/s10236-014-0769-7
container_title Ocean Dynamics
container_volume 64
container_issue 12
container_start_page 1693
op_container_end_page 1717
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