Objectives: To identify the trend and variability of precipitation in the Indian subcontinent. Methods: To identify the trend component the non-parametric test statistic Mann -Kendall and Statistical Process Control (SPC) methodologies are used to conduct a statistical study. Findings: Precipitation of India has shown decreasing trend throughout the winter, monsoon, and on an annual basis, and an increasing tendency was observed during the rest of the seasons. During the winter season, there was more variation in precipitation with Coefficient of Variance (CV) is 33.7919%. Novelty: The long period (120 years) average data from 1901 -2020 is used to know the long run trend and distribution pattern variation of precipitation in India with the proposed statistical methods. Applications: This mechanism is suitable to change the crop pattern and manage the adverse effects in associated sectors.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.