DOI: 10.1002/joc.5542
论文题名: Spatial variability of SPI and RDIst drought indices applied to intense episodes of drought occurred in Rio de Janeiro State, Brazil
作者: Sobral B.S. ; Oliveira-Júnior J.F. ; de Gois G. ; Pereira-Júnior E.R.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 10 起始页码: 3896
结束页码: 3916
语种: 英语
英文关键词: climatic variability mode
; drought monitoring
; extreme climatics
; inter-annual variability
; meteorological drought
; rainfall
Scopus关键词: Drought
; Rain gages
; Climatic variability
; Drought monitoring
; extreme climatics
; Interannual variability
; Meteorological drought
; Rain
; annual variation
; climate change
; drought
; extreme event
; monitoring
; precipitation assessment
; rainfall
; spatial variation
; TRMM
; Brazil
; Rio de Janeiro [Brazil]
英文摘要: This article aims to evaluate the spatial distribution of the standard precipitation index (SPI) and the standardized form of the reconnaissance drought index (RDIst) when applied to intense episodes of drought in the state of Rio de Janeiro (SRJ), Brazil. Data of 99 rainfall stations and 17 temperature stations collected during 31 consecutive years (1979–2009) were used to generate both drought indices, in the annual scale. Rainfall data faults were filled with normal climatological rainfall values provided by the Brazilian National Institute of Meteorology (INMET) in the period 1979–1997. The 3B43 product of the Tropical Rainfall Measuring Satellite (TRMM) data faults was used to fill up rainfall data faults during the period from 1998 to 2009. As for the temperature data, faults were completed based on the historical (1961–1990) average of the temperatures registered in stations within the same region. For the calculation of SPI and RDIst indices in the annual scale it was used the computational tool Drinc (drought indices calculator). Spatial results were achieved using the spline tension method applied to the five most intense drought events (1984/1985, 1993/1994, 1997/1998, 1999–2000, 2002/2003 and 2007/2008) of the series, according to each index. The spline tension method presents satisfactory spatial consistency in the characterization of drought in SRJ. The results for indices SPI and RDIst presented similarities in terms of spatial variation when applied to the SRJ, as the SPI demonstrated good characterization of drought severity with fewer data requirements. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116817
Appears in Collections: 气候减缓与适应
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作者单位: Programa de Pós-graduação em Engenharia de Biossistemas (PGEB), Universidade Federal Fluminense (UFF), Rio de Janeiro, Brazil; Instituto de Terras e Cartografia do Estado do Rio de Janeiro (ITERJ), Rio de Janeiro, Brazil; Instituto de Ciências Atmosféricas (ICAT), Universidade Federal de Alagoas (UFAL), Maceió, Brazil; Escola de Engenharia Industrial Metalúrgica de Volta Redonda, Centro Tecnológico, Universidade Federal Fluminense (UFF), Rio de Janeiro, Brazil
Recommended Citation:
Sobral B.S.,Oliveira-Júnior J.F.,de Gois G.,et al. Spatial variability of SPI and RDIst drought indices applied to intense episodes of drought occurred in Rio de Janeiro State, Brazil[J]. International Journal of Climatology,2018-01-01,38(10)