Modelling and Verification of Rain Amount for the Drought Prone Areas of India for the Year 2024
Anand M Sharan*
Professor, Mechanical Engineering Department, Faculty of Engineering, Memorial University of Newfoundland, ST. John’s, Newfoundland, Canada
*Corresponding Author: Anand M Sharan, Professor, Mechanical Engineering Department, Faculty of Engineering, Memorial University of Newfoundland, ST. John’s, Newfoundland, Canada.
Published: November 06, 2024
Abstract
In this research work four methods are used to calculate the total amount of rainfall for the year 2024. These methods are: The Root Mean Square (RMS) method, The Fast Fourier Transform (FFT) method. The predicted rain amount for the coming year is the average of the four methods.
The prediction of this research work is compared with the average value of the last 32 years of rainfall history. The reason for this average value comparison is that the distribution of the rainfall has been earlier found to have a normal distribution where the most probable value is the mean value for this kind of distribution [5].
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