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    Trend surface analysis of Greenland precipitation

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    VanderveenC_JGR_106(D24)33909.pdf (1.196Mb)
    Issue Date
    2001-12-27
    Author
    van der Veen, Cornelis J.
    Vromwich, D. H.
    Csatho, Bea M.
    Kim, C.
    Publisher
    American Geophysical Union
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Metadata
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    Abstract
    Multivariate regression methods are applied to measurements of accumulation covering much of the interior of the Greenland ice sheet to evaluate the important factors that describe the current distribution of accumulation. Predictor variables considered in the regressions are geographical coordinates and three independent factors describing the geometry of the ice sheet. The results indicate that most of the variance in the data is explained by the combined effect of large-scale atmospheric circulation and ice sheet topography. This finding implies that climate change scenarios in which changes in accumulation are mostly associated with changes in temperature or some other parameter may only be correct if the pattern of atmospheric circulation remains unaltered. Comparison with values predicted with a precipitation retrieval model is favorable, suggesting that the model captures the most important features of Greenland precipitation.
    Description
    This is the published version, also available here: http://dx.doi.org/10.1029/2001JD900156.
    URI
    http://hdl.handle.net/1808/17328
    DOI
    https://doi.org/10.1029/2001JD900156
    Collections
    • Geography & Atmospheric Science Scholarly Works [199]
    Citation
    Van Der Veen, C. J., Bromwich, D. H., Csatho, B. M., Kim, C. "Trend surface analysis of Greenland accumulation." Journal of Geophysical Research. (2001) Volume 106, Issue D24. Pages 33909–33918. http://dx.doi.org/10.1029/2001JD900156.

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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