Abstract

  This research work is to come up with a rainfall model for monsoon rains in India. The goal is to forecast the rainfall amount about 7 months in advance. This advance forecasting is to help farmers in making decisions to plant crop based on the availability of water in the next season. This forecast is for helping hydro power generators and city water suppliers also. The methods selected are based on the past 32 year rainfall history where four methods are used to determine the rainfall amount. These methods are: The Time Series method, the Root Mean Square method, The Fast Fourier Transform method, and the Artificial Neural Network method. A forecasting model is considered valid if it falls within 19% of the actual rainfall amount. The number 19% is used by Indian Meteorological Department (IMD) to define a normal rainfall based on long term average.

Keywords: Monsoon Rain Prediction; Annual Rainfall; Rainfall Frequency Spectrum; Flood Control; Hydro-power Generation

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Citation

Citation: Anand M Sharan. “Modelling for Forecasting of Monsoon Rains in Areas Affected by Farmers Suicides". Acta Scientific Agriculture 5.1 (2020): 17-21.

Copyright

Copyright: © 2021 Anand M Sharan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.