Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5542 |
Spatial variability of SPI and RDIst drought indices applied to intense episodes of drought occurred in Rio de Janeiro State, Brazil | |
Sobral, Bruno Serafini1,2; Oliveira-Junior, Jose Francisco3; de Gois, Givanildo4; Pereira-Junior, Edson Rodrigues2 | |
2018-08-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38期号:10页码:3896-3916 |
文章类型 | Article |
语种 | 英语 |
国家 | 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. |
英文关键词 | climatic variability mode drought monitoring extreme climatics inter-annual variability meteorological drought rainfall |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000440826000010 |
WOS关键词 | PRECIPITATION-EVAPOTRANSPIRATION INDEX ; ATLANTIC CONVERGENCE ZONE ; SOUTH-AMERICA ; METEOROLOGICAL DROUGHT ; ALGORITHM ; RAINFALL ; FEATURES ; CLIMATE ; MODELS ; TRENDS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/37187 |
专题 | 气候变化 |
作者单位 | 1.Univ Fed Fluminense, Programa Posgrad Engn Biossistemas PGEB, Rua Passo da Patria 156, BR-24220900 Niteroi, RJ, Brazil; 2.Inst Terras & Cartog Estado Rio de Janeiro ITERJ, Rio De Janeiro, Brazil; 3.Univ Fed Alagoas UFAL, Inst Ciencias Atmosfer ICAT, Maceio, Brazil; 4.UFF, Ctr Tecnol, Escola Engn Ind Met Volta Redonda, Rio De Janeiro, Brazil |
推荐引用方式 GB/T 7714 | Sobral, Bruno Serafini,Oliveira-Junior, Jose Francisco,de Gois, Givanildo,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,2018,38(10):3896-3916. |
APA | Sobral, Bruno Serafini,Oliveira-Junior, Jose Francisco,de Gois, Givanildo,&Pereira-Junior, Edson Rodrigues.(2018).Spatial variability of SPI and RDIst drought indices applied to intense episodes of drought occurred in Rio de Janeiro State, Brazil.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(10),3896-3916. |
MLA | Sobral, Bruno Serafini,et al."Spatial variability of SPI and RDIst drought indices applied to intense episodes of drought occurred in Rio de Janeiro State, Brazil".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.10(2018):3896-3916. |
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