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    Characterizing synoptic and cloud variability in the Northern Atlantic using self-organizing maps

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    Fish_ku_0099M_13606_DATA_1.pdf (3.352Mb)
    Issue Date
    2014-08-31
    Author
    Fish, Carly Sue
    Publisher
    University of Kansas
    Format
    66 pages
    Type
    Thesis
    Degree Level
    M.S.
    Discipline
    Geography
    Rights
    This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
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    Abstract
    Low − level clouds have a significant influence on the Earth's radiation budget and it is thus imperative to understand their behavior within the marine boundary layer (MBL). The cloud properties in the Northeast Atlantic region are highly variable in space and time and are a research focus for many atmospheric scientists. Characterizing the synoptic patterns in the region through the implementation of self-organizing maps (SOMs) enables a climatological grasp of cloud and atmospheric fields. ERA – Interim and MODIS provide the platform to explore the variability in the Northeast Atlantic for over 30 years of data. Station data comes from CAP – MBL on Graciosa Island in the Azores, which lies in a strong gradient of cloud and other atmospheric fields, offer an opportunity to incorporate an observational aspect for the years of 2009 and 2010.
    URI
    http://hdl.handle.net/1808/16862
    Collections
    • Geography & Atmospheric Science Dissertations and Theses [184]
    • Theses [3827]

    Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.


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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
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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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