Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models
Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models
Six AOMIP model simulations are compared with estimates of sea ice thickness derived from pan-arctic satellite freeboard measurements (2004-2008), airborne electromagnetic measurements (2001-2009), ice-draft data from moored instruments in Fram Strait, the Greenland Sea and the Beaufort Sea (1992- 2008) and from submarines (1975-2000), drill hole data from the Arctic basin, Laptev and East Siberian marginal seas (1982-1986) and coastal stations (1998-2009). Despite an assessment of six models that differ in numerical methods, resolution, domain, forcing, and boundary conditions, the models generally overestimate the thickness of measured ice thinner than ~2 m and underestimate the thickness of ice measured thicker than about ~2 m. In the regions of flat immobile land-fast ice (shallow Siberian Seas with depths less than 25-30 m), the models generally overestimate both the total observed sea ice thickness and rates of September and October ice growth from observations by more than four times and more than one standard deviation, respectively. The models do not reproduce conditions of fast-ice formation and growth. Instead, the modeled fast-ice is replaced with pack ice which drifts, generates ridges of increasing ice thickness, in addition to thermodynamic ice growth. Considering all observational data sets, the better correlations and smaller differences from observations are from the ECCO2 and UW models.
C00D13
Johnson, Mark Andrew
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Proshutinsky, Andrey Y.
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Aksenov, Yevgeny
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Nguyen, An T
485a1388-b5c4-482f-aa3e-ca1f31b64c61
Lindsay, Ron
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Haas, Christian
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Zhang, Jinlun
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Diansky, Nikolay
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Kwok, Ron
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Maslowski, Wieslaw
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Hakkinen, Sirpa
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Ashik, Igor
4a127631-d4ab-44dc-bb15-d232ee8151d7
de Cuevas, Beverly
01cc697c-2832-4de6-87bf-bf9f16c1f906
2012
Johnson, Mark Andrew
c7a2ef1a-f891-4b0a-aece-5db89791b105
Proshutinsky, Andrey Y.
504e7be0-1198-41a6-9dd7-6aa3e1f48b7c
Aksenov, Yevgeny
1d277047-06f6-4893-8bcf-c2817a9c848e
Nguyen, An T
485a1388-b5c4-482f-aa3e-ca1f31b64c61
Lindsay, Ron
fecaba7f-4811-4603-aaa2-f8dc94cac774
Haas, Christian
19f90109-9314-48fe-9cf5-857a712f5f22
Zhang, Jinlun
2fb9623a-24b6-4860-b909-86aac148d8ff
Diansky, Nikolay
e816efbe-2e71-4882-b791-a4173add3294
Kwok, Ron
eff3c6ce-32f2-42c9-998a-4ab18857f3a3
Maslowski, Wieslaw
f8b2588d-e021-485a-b74f-fc8e3fe38652
Hakkinen, Sirpa
1e59c973-20e4-4b72-b699-e67df8f46b11
Ashik, Igor
4a127631-d4ab-44dc-bb15-d232ee8151d7
de Cuevas, Beverly
01cc697c-2832-4de6-87bf-bf9f16c1f906
Johnson, Mark Andrew, Proshutinsky, Andrey Y., Aksenov, Yevgeny, Nguyen, An T, Lindsay, Ron, Haas, Christian, Zhang, Jinlun, Diansky, Nikolay, Kwok, Ron, Maslowski, Wieslaw, Hakkinen, Sirpa, Ashik, Igor and de Cuevas, Beverly
(2012)
Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models.
Journal of Geophysical Research, 117, .
(doi:10.1029/2011JC007257).
Abstract
Six AOMIP model simulations are compared with estimates of sea ice thickness derived from pan-arctic satellite freeboard measurements (2004-2008), airborne electromagnetic measurements (2001-2009), ice-draft data from moored instruments in Fram Strait, the Greenland Sea and the Beaufort Sea (1992- 2008) and from submarines (1975-2000), drill hole data from the Arctic basin, Laptev and East Siberian marginal seas (1982-1986) and coastal stations (1998-2009). Despite an assessment of six models that differ in numerical methods, resolution, domain, forcing, and boundary conditions, the models generally overestimate the thickness of measured ice thinner than ~2 m and underestimate the thickness of ice measured thicker than about ~2 m. In the regions of flat immobile land-fast ice (shallow Siberian Seas with depths less than 25-30 m), the models generally overestimate both the total observed sea ice thickness and rates of September and October ice growth from observations by more than four times and more than one standard deviation, respectively. The models do not reproduce conditions of fast-ice formation and growth. Instead, the modeled fast-ice is replaced with pack ice which drifts, generates ridges of increasing ice thickness, in addition to thermodynamic ice growth. Considering all observational data sets, the better correlations and smaller differences from observations are from the ECCO2 and UW models.
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Published date: 2012
Organisations:
Marine Systems Modelling
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Local EPrints ID: 208855
URI: http://eprints.soton.ac.uk/id/eprint/208855
ISSN: 0148-0227
PURE UUID: bcc14502-a733-4bf4-8708-26ca04cbaa2f
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Date deposited: 23 Jan 2012 17:15
Last modified: 14 Mar 2024 04:43
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Contributors
Author:
Mark Andrew Johnson
Author:
Andrey Y. Proshutinsky
Author:
Yevgeny Aksenov
Author:
An T Nguyen
Author:
Ron Lindsay
Author:
Christian Haas
Author:
Jinlun Zhang
Author:
Nikolay Diansky
Author:
Ron Kwok
Author:
Wieslaw Maslowski
Author:
Sirpa Hakkinen
Author:
Igor Ashik
Author:
Beverly de Cuevas
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