Abstract
Application of non-parametric tests for long-term trend analysis of rainfall over northeastern region of India
Highlights
Where, a Negative significant at the level of 5% and b Positive significant at the level of 5%
The lowest value (Sikkim) for the slope of rainfall (-1.805 mm/year) trend line was found in August, and the highest value (Meghalaya) for the slope of rainfall (2.408 mm/year) trend line was found in July
In annual and seasonal time steps, the lowest value (Sikkim) for the slope of rainfall (- 4.764 mm/year) trend line was found in the monsoon season, and the highest value (Meghalaya) for the slope of rainfall (9.241 mm/year) trend line was found in the annual time scale
Summary
Several studies have been carried out to understand the rainfall variability in of its probability distribute and trend (Chandniha and Kausal 2016, Chandniha et al 2017) using long term rainfall data. Have applied MannKendall test to study rainfall variability in Odisha Prabhakar et al, (2017). Climate variability has been assessed in terms of trend and its magnitude using the non-parametric Mann-Kendall, Modified Mann-Kendall and Sen's slope estimators. Thereafter, maximum climatic variability or climate change point have been detected for all states using the two well-known approaches viz. Standard normal homogeneity test (SNHT) and Mann-Whitney-Pettitt (MWP) test at 5% level of significance (Alexandersson and Moberg, 1997). It was noticed that, annual, monsoon and winter rainfall showed decreasing trend whereas pre-monsoon rainfall showed increasing trends for all northeastern states
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