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    Drought and Pluvial Dipole Events within the Great Plains of the United States

    Source: Journal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 009::page 1886
    Author:
    Christian, Jordan
    ,
    Christian, Katarina
    ,
    Basara, Jeffrey B.
    DOI: 10.1175/JAMC-D-15-0002.1
    Publisher: American Meteorological Society
    Abstract: he purpose of this study was to quantify dipole events (a drought year followed by a pluvial year) for various spatial scales including the nine Oklahoma climate divisions and the author-defined regions of the U.S. Southern Great Plains (SGP), High Plains (HP), and Northern Great Plains (NGP). Analyses revealed that, on average, over twice as many standard deviation (STDEV) dipoles existed in the latter half of the dataset (1955?2013) relative to the first half (1896?1954), suggesting that dramatic increases in precipitation from one year to the next within the Oklahoma climate divisions are increasing with time. For the larger regions within the Great Plains of the United States, the percent chance of a significant pluvial year following a significant drought year was approximately 25% of the time for the SGP and NGP and approximately 16% of the time for the HP. The STDEV dipole analyses further revealed that the frequency of dipoles was consistent between the first and second half of the dataset for the NGP and HP but was increasing with time in the SGP. The temporal periods of anomalous precipitation during relative pluvial years within the STDEV dipole events were unique for each region whereby October occurred most frequently (70%) within the SGP, September occurred most frequently (60%) within the HP, and May occurred most frequently (62%) within the NGP.
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      Drought and Pluvial Dipole Events within the Great Plains of the United States

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    contributor authorChristian, Jordan
    contributor authorChristian, Katarina
    contributor authorBasara, Jeffrey B.
    date accessioned2017-06-09T16:50:43Z
    date available2017-06-09T16:50:43Z
    date copyright2015/09/01
    date issued2015
    identifier issn1558-8424
    identifier otherams-75170.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217476
    description abstracthe purpose of this study was to quantify dipole events (a drought year followed by a pluvial year) for various spatial scales including the nine Oklahoma climate divisions and the author-defined regions of the U.S. Southern Great Plains (SGP), High Plains (HP), and Northern Great Plains (NGP). Analyses revealed that, on average, over twice as many standard deviation (STDEV) dipoles existed in the latter half of the dataset (1955?2013) relative to the first half (1896?1954), suggesting that dramatic increases in precipitation from one year to the next within the Oklahoma climate divisions are increasing with time. For the larger regions within the Great Plains of the United States, the percent chance of a significant pluvial year following a significant drought year was approximately 25% of the time for the SGP and NGP and approximately 16% of the time for the HP. The STDEV dipole analyses further revealed that the frequency of dipoles was consistent between the first and second half of the dataset for the NGP and HP but was increasing with time in the SGP. The temporal periods of anomalous precipitation during relative pluvial years within the STDEV dipole events were unique for each region whereby October occurred most frequently (70%) within the SGP, September occurred most frequently (60%) within the HP, and May occurred most frequently (62%) within the NGP.
    publisherAmerican Meteorological Society
    titleDrought and Pluvial Dipole Events within the Great Plains of the United States
    typeJournal Paper
    journal volume54
    journal issue9
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-15-0002.1
    journal fristpage1886
    journal lastpage1898
    treeJournal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 009
    contenttypeFulltext
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