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    An Artificial Neural Network Model to Reduce False Alarms in Satellite Precipitation Products Using MODIS and CloudSat Observations 

    Source: Journal of Hydrometeorology:;2013:;Volume( 014 ):;issue: 006:;page 1872
    Author(s): Nasrollahi, Nasrin; Hsu, Kuolin; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: he Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard the NASA Earth Observing System (EOS) Aqua and Terra platform with 36 spectral bands provides valuable information about cloud microphysical ...
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    Geometrical Characterization of Precipitation Patterns 

    Source: Journal of Hydrometeorology:;2010:;Volume( 012 ):;issue: 002:;page 274
    Author(s): AghaKouchak, Amir; Nasrollahi, Nasrin; Li, Jingjing; Imam, Bisher; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: Satellite estimates and weather forecast models have made it possible to observe and predict precipitation over large spatial scales. Despite substantial progress in observing patterns of precipitation, characterization ...
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    Assessing the Impacts of Different WRF Precipitation Physics in Hurricane Simulations 

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 004:;page 1003
    Author(s): Nasrollahi, Nasrin; AghaKouchak, Amir; Li, Jialun; Gao, Xiaogang; Hsu, Kuolin; Sorooshian, Soroosh
    Publisher: American Meteorological Society
    Abstract: umerical weather prediction models play a major role in weather forecasting, especially in cases of extreme events. The Weather Research and Forecasting Model (WRF), among others, is extensively used for both research and ...
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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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