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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Error Estimation for Forecasting of Orographic Rainfall Using Regression Method
verfasst von : Pooja Verma, Swastika Chakraborty, Pragya Jaiswal
Erschienen in: Water Security and Sustainability
Verlag: Springer Singapore
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Abstract
Forecasting model of monthly orographic rainfall, which is fundamentally characterized by a long occurrence period within a year not having much of maximum rain rate values, has been developed using regression approach. The analysis has been done on the basis of historical data of rainfall of two hill stations of different altitude, Majitar and Ghum. Performance of the developed model is evaluated through exhaustive error calculation. Goodness of fit value shows that the performance of the developed model is acceptable for the two stations having different altitude. F-test shows the statistical reliability of the prediction of rainfall. Lower root mean square error (RMSE) value indicates good prediction of stochastic-deterministic events like orographic rainfall.