Journal Article

Innovative trend analysis of spatio-temporal variations of rainfall in India during 1901–2019

Sah Sonam, Potekar Sunil, Pathak, H, Singh, R N, Chaudhary Amresh, Das Bappa

2021

Overview

Spatio-temporal trends of rainfall during the last 119 years (1901 to 2019) in different meteorological sub-divisions of India were analyzed using gridded rainfall data. Innovative trend analysis (ITA) was performed for detecting the trends in seasonal and annual rainfall. The results of long-term trends and their magnitudes obtained from the ITA method were compared with traditional Mann-Kendall (M-K), modified Mann-Kendall (mM-K), and linear regression analysis (LRA) methods. Significant trends in seasonal and annual rainfall were detected in almost all the sub-divisions of India. The monsoon and annual rainfall showed increasing trends in most sub-divisions of the peninsular and northwest India, whereas decreasing trends were observed in the central northeast part of the country. Winter rainfall showed decreasing trends in most of the sub-divisions of the country. Results of M-K/mM-K and LRA concurred with the trends detected by ITA. However, the ITA is more sensitive in detecting hidden trends missed out by the traditional M-K/mM-K and LRA tests. This study will provide scientific reference for assessment and proactive mitigation of climate change impacts on water resources to manage the risk of climate variability.

• Publisher: Springer Nature B.V
• Subject: Annual rainfall / Climate change / Climate change mitigation / Climate science / Climate variability / Environmental impact / Environmental risk / Hydrologic data / Mitigation / Monsoon rainfall / Rain / Rainfall / Rainfall data / Regression analysis / Risk management / Temporal variations / Trend analysis / Trends / Water resources / Water resources management