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    An Optimized System for the Classification of Meteorological Drought Intensity with Applications in Drought Frequency Analysis

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 008::page 1943
    Author:
    Carrão, Hugo
    ,
    Singleton, Andrew
    ,
    Naumann, Gustavo
    ,
    Barbosa, Paulo
    ,
    Vogt, Jürgen V.
    DOI: 10.1175/JAMC-D-13-0167.1
    Publisher: American Meteorological Society
    Abstract: he adequacy of meteorological drought intensity threshold levels based on deviations of monthly precipitation totals from normal climatological conditions is reconsidered. The motivation for this study is the observation that reference classification systems are fixed for all climatological regions, and threshold levels have been proposed without regard for the statistical distribution of accumulated precipitation in space and time. This misrepresentation of precipitation variability may lead to erroneous estimates of meteorological drought onset in specific areas where natural breaks in the cumulative distribution of monthly precipitation do not fit the generalized classification systems. In this study, a new optimized classification system based on the nonparametric ?Fisher?Jenks? algorithm is proposed for the estimation of meteorological drought intensity threshold levels from monthly precipitation totals. The optimized classification system is compared using the tabular accuracy index (TAI) to three fixed classification systems that are proposed in the literature and widely applied in the operational setting. An assessment of drought intensity classifications with optimized and fixed threshold levels shows that 1) six optimized categories most accurately divide precipitation totals into the most appropriate drought intensities, 2) optimized thresholds always give considerably improved drought intensity category allocations over fixed thresholds with the same number of categories, and 3) fixed thresholds underestimate the drought onset. An analysis of monthly and long-term drought frequency for Latin America has been conducted for assessing the spatial link between meteorological drought intensity categories computed with the Fisher?Jenks algorithm and different climate classifications. The results show a systematic match between climate variability in the region and spatial patterns of meteorological drought intensity.
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      An Optimized System for the Classification of Meteorological Drought Intensity with Applications in Drought Frequency Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4217169
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    • Journal of Applied Meteorology and Climatology

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    contributor authorCarrão, Hugo
    contributor authorSingleton, Andrew
    contributor authorNaumann, Gustavo
    contributor authorBarbosa, Paulo
    contributor authorVogt, Jürgen V.
    date accessioned2017-06-09T16:49:49Z
    date available2017-06-09T16:49:49Z
    date copyright2014/08/01
    date issued2014
    identifier issn1558-8424
    identifier otherams-74894.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217169
    description abstracthe adequacy of meteorological drought intensity threshold levels based on deviations of monthly precipitation totals from normal climatological conditions is reconsidered. The motivation for this study is the observation that reference classification systems are fixed for all climatological regions, and threshold levels have been proposed without regard for the statistical distribution of accumulated precipitation in space and time. This misrepresentation of precipitation variability may lead to erroneous estimates of meteorological drought onset in specific areas where natural breaks in the cumulative distribution of monthly precipitation do not fit the generalized classification systems. In this study, a new optimized classification system based on the nonparametric ?Fisher?Jenks? algorithm is proposed for the estimation of meteorological drought intensity threshold levels from monthly precipitation totals. The optimized classification system is compared using the tabular accuracy index (TAI) to three fixed classification systems that are proposed in the literature and widely applied in the operational setting. An assessment of drought intensity classifications with optimized and fixed threshold levels shows that 1) six optimized categories most accurately divide precipitation totals into the most appropriate drought intensities, 2) optimized thresholds always give considerably improved drought intensity category allocations over fixed thresholds with the same number of categories, and 3) fixed thresholds underestimate the drought onset. An analysis of monthly and long-term drought frequency for Latin America has been conducted for assessing the spatial link between meteorological drought intensity categories computed with the Fisher?Jenks algorithm and different climate classifications. The results show a systematic match between climate variability in the region and spatial patterns of meteorological drought intensity.
    publisherAmerican Meteorological Society
    titleAn Optimized System for the Classification of Meteorological Drought Intensity with Applications in Drought Frequency Analysis
    typeJournal Paper
    journal volume53
    journal issue8
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-13-0167.1
    journal fristpage1943
    journal lastpage1960
    treeJournal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian