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The study of rainfall variability is essential to the environmental researcher as it influences the agricultural-based economy like West Bengal. The primary aim of this research paper is to assess the inconsistent nature of the annual and seasonal rainfall of West Bengal. The 110 years data of 18 meteorological stations of West Bengal are used in this study. The nonparametric Mann-Kendall (MK), modified Mann-Kendall (mMK), and Sen's slope estimator (Q) are used to detect the trend and magnitude of the trend. Furthermore, the sub-trends of the data series are estimated using the innovative trend analysis (ITA) method. The percent bias (P BIAS ) method is also used to compare the second half with the first half of the data series. The results of the ITA showed Alipore (2.64) and Balurghat (Q = -2.17) had a maximum increasing and a decreasing trend in the annual rainfall. On the seasonal, summer (56%) and post-monsoon (100%) seasons are dominated by increasing trends, while decreasing trends dominate monsoon (61%) and winter (56%) seasons. The results of the MK/mMK and P BIAS, more or less similar to the ITA, confirm its reliability for trend detection. The findings of this study can

Author

Debapriya Poddar; Tapash Mandal; Jayanta Das

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031282508

Subjects

Agriculture, Science, Economics