• Login
    About WHOAS
    View Item 
    •   WHOAS Home
    • Woods Hole Oceanographic Institution
    • Physical Oceanography (PO)
    • View Item
    •   WHOAS Home
    • Woods Hole Oceanographic Institution
    • Physical Oceanography (PO)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of WHOASCommunities & CollectionsBy Issue DateAuthorsTitlesKeywordsThis CollectionBy Issue DateAuthorsTitlesKeywords

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Sea level variability in the Arctic Ocean from AOMIP models

    Thumbnail
    View/Open
    2006JC003916.pdf (1.705Mb)
    Date
    2007-04-26
    Author
    Proshutinsky, Andrey  Concept link
    Ashik, Igor M.  Concept link
    Hakkinen, Sirpa M. A.  Concept link
    Hunke, Elizabeth C.  Concept link
    Krishfield, Richard A.  Concept link
    Maltrud, Mathew E.  Concept link
    Maslowski, Wieslaw  Concept link
    Zhang, Jinlun  Concept link
    Metadata
    Show full item record
    Citable URI
    https://hdl.handle.net/1912/3673
    As published
    https://doi.org/10.1029/2006JC003916
    DOI
    10.1029/2006JC003916
    Keyword
     Arctic Ocean models; Model validation; Sea level variability 
    Abstract
    Monthly sea levels from five Arctic Ocean Model Intercomparison Project (AOMIP) models are analyzed and validated against observations in the Arctic Ocean. The AOMIP models are able to simulate variability of sea level reasonably well, but several improvements are needed to reduce model errors. It is suggested that the models will improve if their domains have a minimum depth less than 10 m. It is also recommended to take into account forcing associated with atmospheric loading, fast ice, and volume water fluxes representing Bering Strait inflow and river runoff. Several aspects of sea level variability in the Arctic Ocean are investigated based on updated observed sea level time series. The observed rate of sea level rise corrected for the glacial isostatic adjustment at 9 stations in the Kara, Laptev, and East Siberian seas for 1954–2006 is estimated as 0.250 cm/yr. There is a well pronounced decadal variability in the observed sea level time series. The 5-year running mean sea level signal correlates well with the annual Arctic Oscillation (AO) index and the sea level atmospheric pressure (SLP) at coastal stations and the North Pole. For 1954–2000 all model results reflect this correlation very well, indicating that the long-term model forcing and model reaction to the forcing are correct. Consistent with the influences of AO-driven processes, the sea level in the Arctic Ocean dropped significantly after 1990 and increased after the circulation regime changed from cyclonic to anticyclonic in 1997. In contrast, from 2000 to 2006 the sea level rose despite the stabilization of the AO index at its lowest values after 2000.
    Description
    Author Posting. © American Geophysical Union, 2007. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 112 (2007): C04S08, doi:10.1029/2006JC003916.
    Collections
    • Physical Oceanography (PO)
    Suggested Citation
    Journal of Geophysical Research 112 (2007): C04S08
     

    Related items

    Showing items related by title, author, creator and subject.

    • Thumbnail

      Arctic decadal variability from an idealized atmosphere-ice-ocean model: 1. Model description, calibration, and validation 

      Dukhovskoy, Dmitry S.; Johnson, Mark A.; Proshutinsky, Andrey (American Geophysical Union, 2006-06-20)
      This paper describes a simple “multibox” model of the Arctic atmosphere-ice-ocean system. The model consists of two major modules (an Arctic module and a Greenland Sea module) and several sub-modules. The Arctic module ...
    • Thumbnail

      Arctic decadal variability from an idealized atmosphere-ice-ocean model : 2. Simulation of decadal oscillations 

      Dukhovskoy, Dmitry S.; Johnson, Mark A.; Proshutinsky, Andrey (2006-06-20)
      A simple model of the Arctic Ocean and Greenland Sea, coupled to a thermodynamic sea ice model and an atmospheric model, has been used to study decadal variability of the Arctic ice-ocean-atmosphere climate system. The ...
    • Thumbnail

      Recent advances in Arctic ocean studies employing models from the Arctic Ocean Model Intercomparison Project 

      Proshutinsky, Andrey; Aksenov, Yevgeny; Kinney, Jaclyn Clement; Gerdes, Rudiger; Golubeva, Elena; Holland, David; Holloway, Greg; Jahn, Alexandra; Johnson, Mark; Popova, Ekaterina E.; Steele, Michael; Watanabe, Eiji (Oceanography Society, 2011-09)
      Observational data show that the Arctic Ocean has significantly and rapidly changed over the last few decades, which is unprecedented in the observational record. Air and water temperatures have increased, sea ice volume ...
    All Items in WHOAS are protected by original copyright, with all rights reserved, unless otherwise indicated. WHOAS also supports the use of the Creative Commons licenses for original content.
    A service of the MBLWHOI Library | About WHOAS
    Contact Us | Send Feedback | Privacy Policy
    Core Trust Logo