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    Topographic and Atmospheric Influences on Precipitation Variability over a Mountainous Watershed

    Source: Journal of Applied Meteorology:;1995:;volume( 034 ):;issue: 001::page 68
    Author:
    Johnson, Gregory L.
    ,
    Hanson, Clayton L.
    DOI: 10.1175/1520-0450-34.1.68
    Publisher: American Meteorological Society
    Abstract: Using rotated principal component analysis (PCA), unique, orthogonal spatial patterns of daily and monthlyprecipitation on a well-instrumented, mountainous watershed in Idaho are examined for their relationship totopography, geographic location, and atmospheric variability. Precipitation pattern and homogeneous precipitationregion differences between daily and monthly timescales and between winter and summer Seasons were identifiedusing the rotated PCA procedure. In general, monthly data produced regional boundaries more closely alignedwith topography, reflecting the integration of many storm events on monthly timescales. Spatial fields, derivedfrom mapping rotated component loadings at 46 precipitation stations on a 234-kmz watershed, were found tobe highly correlated with topography and geographic location. The eight-year time series of the components forspecific watershed regions were found to be moderately related to linear combinations of meteorological variablesderived from a single radiosonde station approximately 50 km from the waterhed. This would indicate thepotential usefulness of data from a single location, such as a general circulation model grid point, to provideclues about spatial pattern changes and regional precipitation fluctuations even on a small watershed, if sufficientinformation about local climate (i.e., topographic influences) is first established.
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      Topographic and Atmospheric Influences on Precipitation Variability over a Mountainous Watershed

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4148906
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    contributor authorJohnson, Gregory L.
    contributor authorHanson, Clayton L.
    date accessioned2017-06-09T14:09:24Z
    date available2017-06-09T14:09:24Z
    date copyright1995/01/01
    date issued1995
    identifier issn0894-8763
    identifier otherams-13454.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148906
    description abstractUsing rotated principal component analysis (PCA), unique, orthogonal spatial patterns of daily and monthlyprecipitation on a well-instrumented, mountainous watershed in Idaho are examined for their relationship totopography, geographic location, and atmospheric variability. Precipitation pattern and homogeneous precipitationregion differences between daily and monthly timescales and between winter and summer Seasons were identifiedusing the rotated PCA procedure. In general, monthly data produced regional boundaries more closely alignedwith topography, reflecting the integration of many storm events on monthly timescales. Spatial fields, derivedfrom mapping rotated component loadings at 46 precipitation stations on a 234-kmz watershed, were found tobe highly correlated with topography and geographic location. The eight-year time series of the components forspecific watershed regions were found to be moderately related to linear combinations of meteorological variablesderived from a single radiosonde station approximately 50 km from the waterhed. This would indicate thepotential usefulness of data from a single location, such as a general circulation model grid point, to provideclues about spatial pattern changes and regional precipitation fluctuations even on a small watershed, if sufficientinformation about local climate (i.e., topographic influences) is first established.
    publisherAmerican Meteorological Society
    titleTopographic and Atmospheric Influences on Precipitation Variability over a Mountainous Watershed
    typeJournal Paper
    journal volume34
    journal issue1
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450-34.1.68
    journal fristpage68
    journal lastpage87
    treeJournal of Applied Meteorology:;1995:;volume( 034 ):;issue: 001
    contenttypeFulltext
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