Innovative trend analysis of long-term rainfall variation over West Bengal, India

Authors

  • Gaurav Patel AICTE Doctoral Fellow, School of Water Resources Engineering, Jadavpur University, Kolkata 700032, India
  • Rajib Das Assistant Professor, School of Water Resources Engineering, Jadavpur University, Kolkata 700032, India
  • Subhasish Das Associate Professor, School of Water Resources Engineering, Jadavpur University, Kolkata 700032, India
  • Indranil Mukherjee Associate Professor, Department of Civil Engineering, Aliah University, Kolkata 700156, India

DOI:

https://doi.org/10.54302/mausam.v76i2.6136

Keywords:

Innovative trend analysis, Gridded meteorological data, Significance, Climate change

Abstract

This study uses 115 years’ gridded rainfall data from 121 gauge stations to observe long-term changes in annual and seasonal rainfall in the entire West Bengal, India. The significance and amplitude of these changes and overall trends are assessed with the use of such gridded data for the period from 1901 to 2015 collected from the India Meteorological Department, by applying innovative trend analysis. According to the findings of the study, rainfall in the study area decreases significantly during the winter season and pre-monsoon season, while increases significantly during the monsoon season and post-monsoon season. The monsoon rainfall experiences the largest increase at 4.68 mm/year and the smallest decrease at 2.95 mm/year. The overall trends of seasonal rainfalls are found to be statistically significant at the 5% significance level except for a few districts for pre-monsoon, monsoon, and post-monsoon rainfalls. This work aims to provide scientific support to recognize and strategically mitigate the impact of climatic changes on water management in West Bengal and thereby reduce the risk of climate change.

Downloads

Published

01-04-2025

How to Cite

[1]
G. Patel, R. . Das, S. Das, and I. Mukherjee, “Innovative trend analysis of long-term rainfall variation over West Bengal, India”, MAUSAM, vol. 76, no. 2, pp. 373–386, Apr. 2025.

Issue

Vol. 76 No. 2 (2025): MAUSAM

Section

Research Papers

License

Copyright (c) 2025 MAUSAM

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.

Anyone is free:

  • To Share - to copy, distribute and transmit the work
  • To Remix - to adapt the work.

Under the following conditions:

  • Share - copy and redistribute the material in any medium or format
  • Adapt - remix, transform, and build upon the material for any purpose, even
    commercially.