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    Classification of Australian Thunderstorms using Multivariate Analyses of Large-Scale Atmospheric Variables 

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 007:;page 1921
    Author(s): BATES, BRYSON C.; DOWDY, ANDREW J.; CHANDLER, RICHARD E.
    Publisher: American Meteorological Society
    Abstract: ightning accompanied by inconsequential rainfall (i.e. ?dry? lightning) is the primary natural ignition source for wildfires globally. This paper presents a machine-learning and statistical-classification analysis of ?dry? ...
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    Lightning Prediction for Australia Using Multivariate Analyses of Large-Scale Atmospheric Variables 

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume 057:;issue 003:;page 525
    Author(s): Bates, Bryson C.; Dowdy, Andrew J.; Chandler, Richard E.
    Publisher: American Meteorological Society
    Abstract: AbstractLightning is a natural hazard that can lead to the ignition of wildfires, disruption and damage to power and telecommunication infrastructures, human and livestock injuries and fatalities, and disruption to airport ...
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    Characterizing and Modeling Temporal and Spatial Trends in Rainfall Extremes 

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 001:;page 241
    Author(s): Aryal, Santosh K.; Bates, Bryson C.; Campbell, Edward P.; Li, Yun; Palmer, Mark J.; Viney, Neil R.
    Publisher: American Meteorological Society
    Abstract: A hierarchical spatial model for daily rainfall extremes that characterizes their temporal variation due to interannual climatic forcing as well as their spatial pattern is proposed. The model treats the parameters of ...
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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
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