Time series analysis and statistical significance of trends in rainfall data was carried out using standard Mann-Kendall test statistics. The non-parametric Mann-Kendall (M-K) statistical rank test, which is widely used in climate research, was employed in this study to find out fluctuations and presence of trend in time series data of rainfall at a single station, as well as regional averages.
Original Source [2]
Links:
[1] http://admin.indiaenvironmentportal.org.in/feature-article/rainfall-variability-analysis-uttar-pradesh-crop-planning-and-management
[2] http://metnet.imd.gov.in/mausamdocs/569113.pdf
[3] http://admin.indiaenvironmentportal.org.in/category/author/arvind-kumar
[4] http://admin.indiaenvironmentportal.org.in/category/author/p-tripathi
[5] http://admin.indiaenvironmentportal.org.in/category/author/akhilesh-gupta-et-al
[6] http://admin.indiaenvironmentportal.org.in/category/journal/mausam
[7] http://admin.indiaenvironmentportal.org.in/category/thesaurus/agriculture
[8] http://admin.indiaenvironmentportal.org.in/category/thesaurus/rainfall-pattern
[9] http://admin.indiaenvironmentportal.org.in/category/thesaurus/uttar-pradesh
[10] http://admin.indiaenvironmentportal.org.in/category/thesaurus/monsoons
[11] http://admin.indiaenvironmentportal.org.in/category/thesaurus/weather-predictions