干旱区生态环境知识资源中心(Arid): Regional scale analysis of trends in rainfall using nonparametric methods and wavelet transforms over a semi-arid region in India

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DOI	10.1002/joc.5985
	Regional scale analysis of trends in rainfall using nonparametric methods and wavelet transforms over a semi-arid region in India
	Pal, Lalit 1; Ojha, Chandra Shekhar P.1; Chandniha, Surendra K.2; Kumar, Amit 3
通讯作者	Pal, Lalit
来源期刊	INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN	0899-8418
EISSN	1097-0088
出版年	2019
卷号	39 期号:5 页码:2737-2764
英文摘要	Space-time variability of rainfall at local scale is affected by several regional factors such as aerosol concentration, greenhouse gases, land cover changes, etc., along with large scale atmospheric circulations. Predictive ability of regional circulation models can be significantly improved and efficient management of water resources can be assured by identifying dominant variables controlling spatiotemporal variations in rainfall among aforementioned factors. The present study aims to investigate dominant climate system(s) controlling trends in rainfall over Chhattisgarh state (a semi-arid region) in India over the period of 115years (1901-2015). Discrete wavelet transform in conjunction with Mann-Kendall test is applied to the rainfall data series at different time scales (monthly, seasonal, annual, pre-monsoon, monsoon, post-monsoon and winter) in order to identify the long term trends and dominant periodic components influencing the trend. In the results, negative trends are found to exist in all rainfall time series at majority of districts (except for annual and monsoon rainfall at Bijapur and Sukma district). In addition, analysis of trend in actual evapotranspiration and soil moisture in the region does not exhibits the effect of anthropogenic variables (such as land cover change, irrigation projects, etc.) on the rainfall as significant negative trend are also observed in soil moisture for majority of districts. Overall, 2-year and 4-year periodic components have been detected to be dominating the trends in most of the rainfall time series (annual, monsoon, post-monsoon and winter). On comparing the identified dominating components with the existing climate systems (Atlantic multidecadal oscillations, Indian ocean dipole, Madden-Julian oscillations, Inter-Tropical Convergence Zone, etc.), El Nino-Southern Oscillations has been recognized as predominant climate circulation influencing the rainfall trends over the study region. The study outcomes are expected to improve the regional precipitation forecasts and should be useful in various hydro-meteorological analyses and decision making at regional scale.
英文关键词	Chhattisgarh state discrete wavelet transform modified Mann-Kendall test rainfall trend analysis
类型	Article
语种	英语
国家	India ; England
收录类别	SCI-E
WOS记录号	WOS:000467048900017
WOS关键词	SUMMER MONSOON RAINFALL ; BLACK CARBON AEROSOLS ; DOMINANT PERIODICITIES ; TEMPERATURE TRENDS ; MANN-KENDALL ; PRECIPITATION ; OSCILLATION ; IMPACTS ; TESTS ; PREDICTABILITY
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216380
作者单位	1.Indian Inst Technol Roorkee, Dept Civil Engn, Roorkee 247667, Uttarakhand, India; 2.Indira Gandhi Krishi Vishwavidyalaya, Dept Soil & Water Engn, Raipur, Madhya Pradesh, India; 3.Univ Nottingham, Sch Geog, Nottingham, England
推荐引用方式 GB/T 7714	Pal, Lalit,Ojha, Chandra Shekhar P.,Chandniha, Surendra K.,et al. Regional scale analysis of trends in rainfall using nonparametric methods and wavelet transforms over a semi-arid region in India[J],2019,39(5):2737-2764.
APA	Pal, Lalit,Ojha, Chandra Shekhar P.,Chandniha, Surendra K.,&Kumar, Amit.(2019).Regional scale analysis of trends in rainfall using nonparametric methods and wavelet transforms over a semi-arid region in India.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(5),2737-2764.
MLA	Pal, Lalit,et al."Regional scale analysis of trends in rainfall using nonparametric methods and wavelet transforms over a semi-arid region in India".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.5(2019):2737-2764.