Gridded rainfall data of 0.5×0.5° resolution (CRU TS 3.21) was analysed to study long term spatial and temporal trends on annual and seasonal scales in Wainganga river basin located in Central India during 1901–2012. After testing the presence of autocorrelation, Mann–Kendall (Modified Mann–Kendall) test was applied to non-auto correlated (auto correlated) series to detect the trends in rainfall data. Theil and Sen׳s slope estimator test was used for finding the magnitude of change over a time period.
Original Source [2]
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Links:
[1] http://admin.indiaenvironmentportal.org.in/feature-article/long-term-spatial-and-temporal-rainfall-trends-and-homogeneity-analysis-wainganga
[2] https://www.sciencedirect.com/science/article/pii/S2212094714000292
[3] http://admin.indiaenvironmentportal.org.in/category/author/arun-kumar-taxak
[4] http://admin.indiaenvironmentportal.org.in/category/author/r-murumkar
[5] http://admin.indiaenvironmentportal.org.in/category/author/d-s-arya-et-al
[6] http://admin.indiaenvironmentportal.org.in/category/journal/weather-and-climate-extremes
[7] http://admin.indiaenvironmentportal.org.in/category/thesaurus/rainfall-pattern
[8] http://admin.indiaenvironmentportal.org.in/category/thesaurus/river-basin
[9] http://admin.indiaenvironmentportal.org.in/category/thesaurus/india
[10] http://admin.indiaenvironmentportal.org.in/category/thesaurus/geographical-information-systems-gis
[11] http://admin.indiaenvironmentportal.org.in/category/thesaurus/monsoons
[12] http://admin.indiaenvironmentportal.org.in/category/thesaurus/wainganga
