International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:3, March, 2021

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(3): 1433-1438

District Wise Usability Analysis of Rainfall Forecast in North Gujarat, India
Sevak Das, Sweta A. Patel* and Neha Chaudhary
Department of Agricultural Meteorology, C. P. College of Agriculture, S. D. Agricultural University, Sardarkrushinagar, Gujarat, India
*Corresponding author

District wise medium range weather forecast on rainfall issued from India Meteorological Department (IMD), New Delhi for Banaskantha, Gandhinagar, Mehsana, Patan and Sabarkantha district was compared with actual rainfall collected from Gujarat State Disaster Management Authority website during monsoon2015 to 2020 to assess its reliability and accuracy. Various criteria like usability, RMSE, H.K. Score and Ratio Score were used to verify the accuracy of rainfall forecast. The results revealed that the accuracy of rainfall forecast was good and satisfactory for all the districts during the year 2015, 2016, 2017 and 2018 while, the accuracy was poor in the year 2019 and 2020.However, the mean accuracy over six year period varied in between 63.10 to 70.01% in different districts. The mean value of RMSE ranged from 19.36 to 23.46 in different districts. Similarly, the mean values of H.K. Score and Ratio Score varied in between 0.38 to 0.47 and 68.27 to 74.07 respectively in different districts which indicated success of rainfall forecast.

Keywords: Rainfall, Usability, Ratio score, HK Score

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How to cite this article:

Sevak Das, Sweta A. Patel and Neha Chaudhary. 2021. District Wise Usability Analysis of Rainfall Forecast in North Gujarat, India.Int.J.Curr.Microbiol.App.Sci. 10(3): 1433-1438. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.