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    Spatial Coherence of Tropical Rainfall at the Regional Scale

    Source: Journal of Climate:;2007:;volume( 020 ):;issue: 021::page 5244
    Author:
    Moron, Vincent
    ,
    Robertson, Andrew W.
    ,
    Ward, M. Neil
    ,
    Camberlin, Pierre
    DOI: 10.1175/2007JCLI1623.1
    Publisher: American Meteorological Society
    Abstract: This study examines the spatial coherence characteristics of daily station observations of rainfall in five tropical regions during the principal rainfall season(s): the Brazilian Nordeste, Senegal, Kenya, northwestern India, and northern Queensland. The rainfall networks include between 9 and 81 stations, and 29?70 seasons of observations. Seasonal-mean rainfall totals are decomposed in terms of daily rainfall frequency (i.e., the number of wet days) and mean intensity (i.e., the mean rainfall amount on wet days). Despite the diverse spatiotemporal sampling, orography, and land cover between regions, three general results emerge. 1) Interannual anomalies of rainfall frequency are usually the most spatially coherent variable, generally followed closely by the seasonal amount, with the daily mean intensity in a distant third place. In some cases, such as northwestern India, which is characterized by large daily rainfall amounts, the frequency of occurrence is much more coherent than the seasonal amount. 2) On daily time scales, the interstation correlations between amounts on wet days always fall to insignificant values beyond a distance of about 100 km. The spatial scale of daily rainfall occurrence is larger and more variable among the networks. 3) The regional-scale signal of the seasonal amount is primarily related to a systematic spatially coherent modulation of the frequency of occurrence.
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      Spatial Coherence of Tropical Rainfall at the Regional Scale

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4206945
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    contributor authorMoron, Vincent
    contributor authorRobertson, Andrew W.
    contributor authorWard, M. Neil
    contributor authorCamberlin, Pierre
    date accessioned2017-06-09T16:19:15Z
    date available2017-06-09T16:19:15Z
    date copyright2007/11/01
    date issued2007
    identifier issn0894-8755
    identifier otherams-65692.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206945
    description abstractThis study examines the spatial coherence characteristics of daily station observations of rainfall in five tropical regions during the principal rainfall season(s): the Brazilian Nordeste, Senegal, Kenya, northwestern India, and northern Queensland. The rainfall networks include between 9 and 81 stations, and 29?70 seasons of observations. Seasonal-mean rainfall totals are decomposed in terms of daily rainfall frequency (i.e., the number of wet days) and mean intensity (i.e., the mean rainfall amount on wet days). Despite the diverse spatiotemporal sampling, orography, and land cover between regions, three general results emerge. 1) Interannual anomalies of rainfall frequency are usually the most spatially coherent variable, generally followed closely by the seasonal amount, with the daily mean intensity in a distant third place. In some cases, such as northwestern India, which is characterized by large daily rainfall amounts, the frequency of occurrence is much more coherent than the seasonal amount. 2) On daily time scales, the interstation correlations between amounts on wet days always fall to insignificant values beyond a distance of about 100 km. The spatial scale of daily rainfall occurrence is larger and more variable among the networks. 3) The regional-scale signal of the seasonal amount is primarily related to a systematic spatially coherent modulation of the frequency of occurrence.
    publisherAmerican Meteorological Society
    titleSpatial Coherence of Tropical Rainfall at the Regional Scale
    typeJournal Paper
    journal volume20
    journal issue21
    journal titleJournal of Climate
    identifier doi10.1175/2007JCLI1623.1
    journal fristpage5244
    journal lastpage5263
    treeJournal of Climate:;2007:;volume( 020 ):;issue: 021
    contenttypeFulltext
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