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    Geographical Patterning of Interannual Rainfall Variability in the Tropics and Near Tropics: An L-Moments Approach

    Source: Journal of Climate:;1999:;volume( 012 ):;issue: 012::page 3457
    Author:
    Dewar, Robert E.
    ,
    Wallis, James R.
    DOI: 10.1175/1520-0442(1999)012<3457:GPOIRV>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Interannual rainfall variability has important effects for the evolution of biotic and human communities. Historical records of monthly rainfall totals for 1492 stations within 30° of the equator were analyzed using the method of L-moments. The 0.1 quantile (QU10), or the proportion of mean annual rainfall expected in the driest year in 10, was selected as the measure of variability. A nonlinear regression was fit to the relationship between QU10 and mean annual rainfall, and regions were categorized into three classes on the basis of the residuals: the 25% with the most negative, the 25% with the most positive, and the middle 50%. Maps of the global and regional patterns of rainfall variability show marked geographical patterning of variability and identify areas where rainfall variability may be a particularly important environmental feature.
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      Geographical Patterning of Interannual Rainfall Variability in the Tropics and Near Tropics: An L-Moments Approach

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4193323
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    contributor authorDewar, Robert E.
    contributor authorWallis, James R.
    date accessioned2017-06-09T15:47:10Z
    date available2017-06-09T15:47:10Z
    date copyright1999/12/01
    date issued1999
    identifier issn0894-8755
    identifier otherams-5343.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4193323
    description abstractInterannual rainfall variability has important effects for the evolution of biotic and human communities. Historical records of monthly rainfall totals for 1492 stations within 30° of the equator were analyzed using the method of L-moments. The 0.1 quantile (QU10), or the proportion of mean annual rainfall expected in the driest year in 10, was selected as the measure of variability. A nonlinear regression was fit to the relationship between QU10 and mean annual rainfall, and regions were categorized into three classes on the basis of the residuals: the 25% with the most negative, the 25% with the most positive, and the middle 50%. Maps of the global and regional patterns of rainfall variability show marked geographical patterning of variability and identify areas where rainfall variability may be a particularly important environmental feature.
    publisherAmerican Meteorological Society
    titleGeographical Patterning of Interannual Rainfall Variability in the Tropics and Near Tropics: An L-Moments Approach
    typeJournal Paper
    journal volume12
    journal issue12
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(1999)012<3457:GPOIRV>2.0.CO;2
    journal fristpage3457
    journal lastpage3466
    treeJournal of Climate:;1999:;volume( 012 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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