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    Bias Correction of Climate Modeled Temperature and Precipitation Using Artificial Neural Networks 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 007:;page 1867
    Author(s): Moghim, Sanaz;Bras, Rafael L.
    Publisher: American Meteorological Society
    Abstract: AbstractClimate studies and effective environmental management require unbiased climate datasets. This study develops a new bias correction approach using a three-layer feedforward neural network to reduce the biases of ...
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    Retrieval of Hourly Records of Surface Hydrometeorological Variables Using Satellite Remote Sensing Data 

    Source: Journal of Hydrometeorology:;2014:;Volume( 016 ):;issue: 001:;page 147
    Author(s): Moghim, Sanaz; Bowen, Andrew Jay; Sarachi, Sepideh; Wang, Jingfeng
    Publisher: American Meteorological Society
    Abstract: new algorithm is formulated for retrieving hourly time series of surface hydrometeorological variables including net radiation, sensible heat flux, and near-surface air temperature aided by hourly visible images from the ...
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian