Now casting and forecasting computational model for rainfall prediction



Abstract Automated Forecasting System has been shown to be highly effective in providing a wide range of integrated capabilities for time series analysis and forecasting, econometrics and systems modeling and financial analysis and reporting. We have presented a platform for the practical development and design of a Rainfall Prediction System for the Kano City Metropolitan Area. The system automatically makes future forecasts of rainfall using the rainfall forecasting model derived from the inputted rainfall time series data.  The system when fully implemented will ensure accurate analysis and forecasting processes that take place over time in Kano. The language of implementation is Visual Basic. NET.

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