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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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    Simulation of Crop Yields Using ERA-40: Limits to Skill and Nonstationarity in Weather–Yield Relationships 

    Source: Journal of Applied Meteorology:;2005:;volume( 044 ):;issue: 004:;page 516
    Author(s): Challinor, A. J.; Wheeler, T. R.; Slingo, J. M.; Craufurd, P. Q.; Grimes, D. I. F.
    Publisher: American Meteorological Society
    Abstract: Reanalysis data provide an excellent test bed for impacts prediction systems, because they represent an upper limit on the skill of climate models. Indian groundnut (Arachis hypogaea L.) yields have been simulated using ...
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    Toward a Combined Seasonal Weather and Crop Productivity Forecasting System: Determination of the Working Spatial Scale 

    Source: Journal of Applied Meteorology:;2003:;volume( 042 ):;issue: 002:;page 175
    Author(s): Challinor, A. J.; Slingo, J. M.; Wheeler, T. R.; Craufurd, P. Q.; Grimes, D. I. F.
    Publisher: American Meteorological Society
    Abstract: A methodology is presented for the development of a combined seasonal weather and crop productivity forecasting system. The first stage of the methodology is the determination of the spatial scale(s) on which the system ...
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