Innovative trend analysis of monsoon season rainfall of Kerala state

Abstract

Administrators also benefit from understanding rainfall patterns as it facilitates informed decisions on water resource allocation, while it is helpful to farmers in strategic crop planning. Various statistical methods, viz., Mann-Kendall (MK) method, Sen slope (SS) method (Shankar and Sharma, 2025) Spearman's rank correlation method, modified Mann-Kendall method (MMK) (Ghanim et al., 2023), sequential Mann-Kendall method (SQMK), discrete wavelet transform (DWT) method, innovative trend analysis (ITA) method (Al-Lami et al., 2024), have been used to detect the trends in rainfall. The Innovative Trend Analysis (ITA) is a graphical method for detecting trends in the data which can be applied to the data regardless of its distribution, data size, and serial correlation. For August, the MK, SS, and MMK could not detect the trend that the ITA method successfully did. [...]the ITA method outperforms over MK, SS, and MMK methods.