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    Validation of Improved TAMANN Neural Network for Operational Satellite-Derived Rainfall Estimation in Africa 

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 011:;page 1557
    Author(s): Coppola, E.; Grimes, D. I. F.; Verdecchia, M.; Visconti, G.
    Publisher: American Meteorological Society
    Abstract: Real-time rainfall monitoring in Africa is of great practical importance for operational applications in hydrology and agriculture. Satellite data have been used in this context for many years because of the lack of surface ...
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    A Neural Network Approach to Real-Time Rainfall Estimation for Africa Using Satellite Data 

    Source: Journal of Hydrometeorology:;2003:;Volume( 004 ):;issue: 006:;page 1119
    Author(s): Grimes, D. I. F.; Coppola, E.; Verdecchia, M.; Visconti, G.
    Publisher: American Meteorological Society
    Abstract: Operational, real-time rainfall estimation on a daily timescale is potentially of great benefit for hydrological forecasting in African river basins. Sparseness of ground-based observations often means that only methodologies ...
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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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