气候变化领域集成服务门户(CCPortal): Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends; statistical tests and its relation with ENSO

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DOI	10.1016/j.atmosres.2019.01.003
	Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends; statistical tests and its relation with ENSO
	Sobral B.S.; Oliveira-Júnior J.F.D.; de Gois G.; Pereira-Júnior E.R.; Terassi P.M.D.B.; Muniz-Júnior J.G.R.; Lyra G.B.; Zeri M.
发表日期	2019
ISSN	0169-8095
起始页码	141
结束页码	154
卷号	220
英文摘要	Drought indices allow for the characterization of drought events, being the most widely used the Standardized Precipitation Index (SPI), which is recommended by the World Meteorological Organization (WMO) as the standard drought index. The objectives of this study are: i) to characterize the variation of annual SPI index in the state of Rio de Janeiro from 1979 to 2009; ii) to relate ENSO events with the variation of the annual SPI; iii) to identify possible significant trends of rainfall increase and reduction based on the annual SPI; and iv) characterize drought evolution in the SRJ in the 1979–2009 period (Appendix A). For the SPI calculation, a monthly time series with 31 consecutive years was used, based on rainfall data from 99 rainfall stations distributed in eight government regions. Annual SPI data was presented using maps created with ArcGIS software version 10.2.2 and all statistical procedures were calculated in the R environment software. The Shapiro-Wilk (SW) and Bartlett (B) tests characterized rainfall data as being mostly normal and non-homogeneous. The annual SPI showed that the Center South region experienced the highest continuous dry period between 1999 and 2000 and 2002–2003. The annual SPI was assessed with the Mann-Kendall (MK), Curvature Sen (magnitude) and Pettitt (abrupt inflection) tests. The MK test indicated significant trends of annual rainfall increase in the North and Mountainous regions, and significant reduction trends in the Mountainous and Center South regions. Pettitt's test indicated significant abrupt changes in the North, Center South and Mountainous regions. The Curvature Sen test revealed that stations Dois Rios (North) and Cordeiro (Mountainous) registered a greater magnitude in the increase and reduction of the annual SPI, respectively. © 2019 Elsevier B.V.
英文关键词	Climatic variability; Drought indices; Interannual variability; Parametric tests; Rainfall; Rio de Janeiro
语种	英语
scopus关键词	Drought; Rain; Climatic variability; Drought indices; Interannual variability; Parametric test; Rio de Janeiro; Testing; annual variation; climate variation; drought; El Nino-Southern Oscillation; precipitation (climatology); rainfall; trend analysis; Brazil; Rio de Janeiro [Brazil]
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162229
作者单位	Postgraduate Program in Biosystems Engineering (PGEB), Federal Fluminense University (UFF), Niterói, Rio de Janeiro 24220-900, Brazil; Institute of Atmospheric Sciences (ICAT), Federal University of Alagoas (UFAL), Maceió, Alagoas 57072-260, Brazil; School of Industrial Metallurgical Engineering of Volta Redonda, Technological Center, Federal Fluminense University (UFF), Volta Redonda, Rio de Janeiro 27255-250, Brazil; Land and Cartography Institute of Rio de Janeiro (ITERJ), State Secretary of the Environment (SEA-RJ), Rua Regente Feijó 7, Centro, Rio de Janeiro 20060-060, Brazil; Postgraduate Program in Physical Geography, University of São Paulo (USP), São Paulo, 05508-000, Brazil; Department of Environmental Sciences (DCA), Institute of Forests (IF), Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro 23890-000, Brazil; National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, SP 12247-016, Brazil
推荐引用方式 GB/T 7714	Sobral B.S.,Oliveira-Júnior J.F.D.,de Gois G.,et al. Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends; statistical tests and its relation with ENSO[J],2019,220.
APA	Sobral B.S..,Oliveira-Júnior J.F.D..,de Gois G..,Pereira-Júnior E.R..,Terassi P.M.D.B..,...&Zeri M..(2019).Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends; statistical tests and its relation with ENSO.Atmospheric Research,220.
MLA	Sobral B.S.,et al."Drought characterization for the state of Rio de Janeiro based on the annual SPI index: trends; statistical tests and its relation with ENSO".Atmospheric Research 220(2019).