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DOI	10.2166/wcc.2017.141
	Trend analysis of time series rainfall data using robust statistics
	Paul A.; Bhowmik R.; Chowdary V.M.; Dutta D.; Sreedhar U.; Ravi Sankar H.
发表日期	2017
ISSN	20402244
起始页码	691
结束页码	700
卷号	8 期号:4
英文摘要	A temporal rainfall analysis was carried out for the study area, Rajahmundry city located in lower Godavari basin, India, during the period 1960–2013. Both the parametric and non-parametric approaches were envisaged for identifying the trends at different temporal scales. Linear and robust regression analysis revealed a negative trend at weekly scale during monsoon months, but failed to signify the slope at 95% confidence level. The magnitude of Sen’s slope was observed to be negative during the months of April–September. Results of the Mann–Kendall test ascertained the negative rainfall trends during the monsoon months of June and July with a significant trend at 95% confidence interval. Application of robust statistics for long-term rainfall analysis helped to address the outlier’s problem in the dataset. The Mann–Kendall test rejected the null hypothesis for all months except February–May and August after exclusion of outliers. Overall, a negative trend during monsoon season and a positive trend during post-monsoon season were observed using a robust non-parametric approach. Further, good correlation was found between the total rainfall and rainy days during the study period. On average, 21.25% days of a year is considered as rainy, while heavy and extreme rainfall in this region together occupies nearly 15% of the rainy days. © IWA Publishing 2017.
英文关键词	Rainfall; Rainy day; Robust; Significance; Trend
语种	英语
scopus关键词	Atmospheric thermodynamics; Rain; Regression analysis; Statistical tests; Statistics; Time series; Confidence interval; Nonparametric approaches; Parametric and non-parametric approaches; Rainy day; Robust; Robust statistics; Significance; Trend; Time series analysis; climate change; confidence interval; correlation; data set; extreme event; monsoon; precipitation assessment; precipitation intensity; rainfall; temporal variation; time series; trend analysis; Andhra Pradesh; India; Rajahmundry
来源期刊	Journal of Water and Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/148090
作者单位	Regional Remote Sensing Centre – East, NRSC, ISRO, Kolkata, India; Department of Computer Application, Narula Institute of Technology, Kolkata, India; Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh, India
推荐引用方式 GB/T 7714	Paul A.,Bhowmik R.,Chowdary V.M.,et al. Trend analysis of time series rainfall data using robust statistics[J],2017,8(4).
APA	Paul A.,Bhowmik R.,Chowdary V.M.,Dutta D.,Sreedhar U.,&Ravi Sankar H..(2017).Trend analysis of time series rainfall data using robust statistics.Journal of Water and Climate Change,8(4).
MLA	Paul A.,et al."Trend analysis of time series rainfall data using robust statistics".Journal of Water and Climate Change 8.4(2017).