T R A C K       P A P E R
ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Monsoon Rain Prediction for Jharkhand for the Year 2023

( Volume 10 Issue 2,February 2023 ) OPEN ACCESS
Author(s):

Anand M. Sharan

Keywords:

Monsoon rain prediction, annual rainfall, rainfall frequency spectrum, El Nino and La Nina influence on rainfall, drought and famine, crop failure

Abstract:

Monsoon rains account for 90% of the annual rain. The monsoon months are defined as June, July, August, and September. The rainfall estimates for each of these months are made using four methods. These methods are: (1) Artificial Neural Network (ANN) method, (2) the Fast Fourier Transform (FFT) method, (3) the Time Series method, and (4) the Root Mean Square (RMS) method using linear regression. The predicted rain value is the average of the four of these methods. This year, based on the calculations, it is predicted that it will be 16.7% less rain than the past 32 years average.

Paper Statistics:

Total View : 115 | Downloads : 106 | Page No: 21-26 |

Cite this Article:
Click here to get all Styles of Citation using DOI of the article.