Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models

We compare results from six AOMIP model simulations with estimates of sea ice thickness obtained from ICESat, moored and submarine-based upward looking sensors, airborne electromagnetic measurements and drill holes. Our goal is to find patterns of model performance to guide model improvement. The sa...

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Main Authors: Aksenov, Yevgeny, Haas, Christian, Kwok, Ron, Proshutinsky, Andrey, Hakkinen, Sirpa, Zhang, Jinlun, Diansky, Nimolay, Ashik, Igor, Lindsay, Ron, Maslowski, Wieslaw, Johnson, Mark, Nguyen, An T., de Cuevas, Beverly
Format: Other/Unknown Material
Language:unknown
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/2060/20110012877
id ftnasantrs:oai:casi.ntrs.nasa.gov:20110012877
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20110012877 2023-05-15T14:57:21+02:00 Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models Aksenov, Yevgeny Haas, Christian Kwok, Ron Proshutinsky, Andrey Hakkinen, Sirpa Zhang, Jinlun Diansky, Nimolay Ashik, Igor Lindsay, Ron Maslowski, Wieslaw Johnson, Mark Nguyen, An T. de Cuevas, Beverly Unclassified, Unlimited, Publicly available [2011] application/pdf http://hdl.handle.net/2060/20110012877 unknown Document ID: 20110012877 http://hdl.handle.net/2060/20110012877 Copyright, Distribution as joint owner in the copyright CASI Oceanography GSFC.JA.4385.2011 2011 ftnasantrs 2019-07-21T06:29:03Z We compare results from six AOMIP model simulations with estimates of sea ice thickness obtained from ICESat, moored and submarine-based upward looking sensors, airborne electromagnetic measurements and drill holes. Our goal is to find patterns of model performance to guide model improvement. The satellite data is pan-arctic from 2004-2008, ice-draft data is from moored instruments in Fram Strait, the Greenland Sea and the Beaufort Sea from 1992-2008 and from submarines from 1975-2000. The drill hole data are from the Laptev and East Siberian marginal seas from 1982-1986 and from coastal stations from 1998-2009. While there are important caveats when comparing modeled results with measurements from different platforms and time periods such as these, the models agree well with moored ULS data. In general, the AOMIP models underestimate the thickness of measured ice thicker than about 2 m and overestimate thickness of ice thinner than 2 m. The simulated results are poor over the fast ice and marginal seas of the Siberian shelves. Averaging over all observational data sets, the better correlations and smaller differences from observed thickness are from the ECCO2 and UW models. Other/Unknown Material Arctic Beaufort Sea Fram Strait Greenland Greenland Sea laptev Sea ice NASA Technical Reports Server (NTRS) Arctic Greenland
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Oceanography
spellingShingle Oceanography
Aksenov, Yevgeny
Haas, Christian
Kwok, Ron
Proshutinsky, Andrey
Hakkinen, Sirpa
Zhang, Jinlun
Diansky, Nimolay
Ashik, Igor
Lindsay, Ron
Maslowski, Wieslaw
Johnson, Mark
Nguyen, An T.
de Cuevas, Beverly
Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models
topic_facet Oceanography
description We compare results from six AOMIP model simulations with estimates of sea ice thickness obtained from ICESat, moored and submarine-based upward looking sensors, airborne electromagnetic measurements and drill holes. Our goal is to find patterns of model performance to guide model improvement. The satellite data is pan-arctic from 2004-2008, ice-draft data is from moored instruments in Fram Strait, the Greenland Sea and the Beaufort Sea from 1992-2008 and from submarines from 1975-2000. The drill hole data are from the Laptev and East Siberian marginal seas from 1982-1986 and from coastal stations from 1998-2009. While there are important caveats when comparing modeled results with measurements from different platforms and time periods such as these, the models agree well with moored ULS data. In general, the AOMIP models underestimate the thickness of measured ice thicker than about 2 m and overestimate thickness of ice thinner than 2 m. The simulated results are poor over the fast ice and marginal seas of the Siberian shelves. Averaging over all observational data sets, the better correlations and smaller differences from observed thickness are from the ECCO2 and UW models.
format Other/Unknown Material
author Aksenov, Yevgeny
Haas, Christian
Kwok, Ron
Proshutinsky, Andrey
Hakkinen, Sirpa
Zhang, Jinlun
Diansky, Nimolay
Ashik, Igor
Lindsay, Ron
Maslowski, Wieslaw
Johnson, Mark
Nguyen, An T.
de Cuevas, Beverly
author_facet Aksenov, Yevgeny
Haas, Christian
Kwok, Ron
Proshutinsky, Andrey
Hakkinen, Sirpa
Zhang, Jinlun
Diansky, Nimolay
Ashik, Igor
Lindsay, Ron
Maslowski, Wieslaw
Johnson, Mark
Nguyen, An T.
de Cuevas, Beverly
author_sort Aksenov, Yevgeny
title Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models
title_short Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models
title_full Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models
title_fullStr Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models
title_full_unstemmed Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models
title_sort evaluation of arctic sea ice thickness simulated by aomip models
publishDate 2011
url http://hdl.handle.net/2060/20110012877
op_coverage Unclassified, Unlimited, Publicly available
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre Arctic
Beaufort Sea
Fram Strait
Greenland
Greenland Sea
laptev
Sea ice
genre_facet Arctic
Beaufort Sea
Fram Strait
Greenland
Greenland Sea
laptev
Sea ice
op_source CASI
op_relation Document ID: 20110012877
http://hdl.handle.net/2060/20110012877
op_rights Copyright, Distribution as joint owner in the copyright
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