Global atmospheric forcing data for Arctic ice-ocean modeling

We compare three forcing data sets, all variants of National Centers for Environmental Prediction (NCEP) forcing, in global ice-ocean simulations and evaluate them for use in Arctic model studies. The data sets include the standard Arctic Ocean Model Intercomparison Project (AOMIP) protocol, standar...

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Bibliographic Details
Published in:Journal of Geophysical Research
Other Authors: Hunke, Elizabeth (author), Holland, Marika (author)
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union 2007
Subjects:
Online Access:http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-004-263
https://doi.org/10.1029/2006JC003640
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spelling ftncar:oai:drupal-site.org:articles_6923 2023-10-01T03:52:56+02:00 Global atmospheric forcing data for Arctic ice-ocean modeling Hunke, Elizabeth (author) Holland, Marika (author) 2007-03-27 application/pdf http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-004-263 https://doi.org/10.1029/2006JC003640 en eng American Geophysical Union Journal of Geophysical Research-Oceans http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-004-263 doi:10.1029/2006JC003640 ark:/85065/d7wd40v2 Copyright 2007 American Geophysical Union. Sea ice model Atlantic water circulation Text article 2007 ftncar https://doi.org/10.1029/2006JC003640 2023-09-04T18:22:01Z We compare three forcing data sets, all variants of National Centers for Environmental Prediction (NCEP) forcing, in global ice-ocean simulations and evaluate them for use in Arctic model studies. The data sets include the standard Arctic Ocean Model Intercomparison Project (AOMIP) protocol, standard NCEP forcing fields, and the data set of Large and Yeager (2004). We explore their performance in Arctic simulations using a global, coupled, sea ice-ocean model, and find that while these forcing data sets have many similarities, the resulting simulations present significant differences, most notably in ice thickness and ocean circulation. This underscores the sensitivity of Arctic sea ice and ocean to slight changes in environmental forcing parameters. This study also highlights the difficulties faced by the model intercomparison community attempting to disentangle simulation differences due to model physics from those caused by small differences in forcing parameters. Assessing the simulation uncertainty due to inaccuracies in the forcing data provides context for the simulation uncertainty associated with model physics. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Arctic Arctic Ocean Journal of Geophysical Research 112 C4
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
topic Sea ice model
Atlantic water circulation
spellingShingle Sea ice model
Atlantic water circulation
Global atmospheric forcing data for Arctic ice-ocean modeling
topic_facet Sea ice model
Atlantic water circulation
description We compare three forcing data sets, all variants of National Centers for Environmental Prediction (NCEP) forcing, in global ice-ocean simulations and evaluate them for use in Arctic model studies. The data sets include the standard Arctic Ocean Model Intercomparison Project (AOMIP) protocol, standard NCEP forcing fields, and the data set of Large and Yeager (2004). We explore their performance in Arctic simulations using a global, coupled, sea ice-ocean model, and find that while these forcing data sets have many similarities, the resulting simulations present significant differences, most notably in ice thickness and ocean circulation. This underscores the sensitivity of Arctic sea ice and ocean to slight changes in environmental forcing parameters. This study also highlights the difficulties faced by the model intercomparison community attempting to disentangle simulation differences due to model physics from those caused by small differences in forcing parameters. Assessing the simulation uncertainty due to inaccuracies in the forcing data provides context for the simulation uncertainty associated with model physics.
author2 Hunke, Elizabeth (author)
Holland, Marika (author)
format Article in Journal/Newspaper
title Global atmospheric forcing data for Arctic ice-ocean modeling
title_short Global atmospheric forcing data for Arctic ice-ocean modeling
title_full Global atmospheric forcing data for Arctic ice-ocean modeling
title_fullStr Global atmospheric forcing data for Arctic ice-ocean modeling
title_full_unstemmed Global atmospheric forcing data for Arctic ice-ocean modeling
title_sort global atmospheric forcing data for arctic ice-ocean modeling
publisher American Geophysical Union
publishDate 2007
url http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-004-263
https://doi.org/10.1029/2006JC003640
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_relation Journal of Geophysical Research-Oceans
http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-004-263
doi:10.1029/2006JC003640
ark:/85065/d7wd40v2
op_rights Copyright 2007 American Geophysical Union.
op_doi https://doi.org/10.1029/2006JC003640
container_title Journal of Geophysical Research
container_volume 112
container_issue C4
_version_ 1778519193513099264