Drought severity based on the SPI index and its relation to the ENSO and PDO climatic variability modes in the regions North and Northwest of the State of Rio de Janeiro - Brazil

被引:50
作者
de Oliveira-Junior, Jose Francisco [1 ]
de Gois, Givanildo [2 ]
de Bodas Terassi, Paulo Miguel [3 ]
da Silva Junior, Carlos Antonio [4 ]
Cavalcante Blanco, Claudio Jose [5 ]
Sobral, Bruno Serafini [6 ,7 ]
Cruz Gasparini, Kaio Allan [8 ]
机构
[1] Fed Univ Alagoas UFAL, Inst Atmospher Sci ICAT, BR-57072260 Maceio, Alagoas, Brazil
[2] UFF, Ctr Technol, Sch Ind Met Engn Volta Redonda, BR-27255250 Volta Redonda, RJ, Brazil
[3] Univ Sao Paulo, Postgrad Program Phys Geog, BR-05508000 Sao Paulo, Brazil
[4] State Univ Mato Grosso UNEMAT, BR-78580000 Alta Floresta, MT, Brazil
[5] Fac Engn Sanit & Ambiental FAESA ITEC UFPA, Postgrad Program Civil Engn PPGEC ITEC UFPA, BR-66075110 Belem, Para, Brazil
[6] Univ Fed Fluminense, Postgrad Program Biosyst Engn PGEB, BR-24220900 Niteroi, RJ, Brazil
[7] State Secretary Environm SEA RJ, Land & Cartog Inst Rio de Janeiro ITERJ, Rua Regente Feijo 7, BR-20060060 Rio De Janeiro, Brazil
[8] Natl Inst Space Res INPE, BR-29550000 Sao Jose Dos Campos, SP, Brazil
关键词
Drought monitoring; Statistical indexes; Precipitation; Climatic extremes; Interannual variability; Oceanic Nino index; SPATIAL-PATTERNS; PRECIPITATION; FREQUENCY; TRENDS; IMPACT;
D O I
10.1016/j.atmosres.2018.04.022
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Drought severity in regions North and Northwest of Rio de Janeiro state (SRJ) was evaluated using the Standardized Precipitation Index (SPI) for the monthly (SPI-1) and annual (SPI-12) scales, as well as its relationship with El Nino - Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). Data of 14 rainfall stations from a time series considering the period of 1967-2013 was used. The SPI calculation was based on the SCI package available at R software version 3.4.2 library. SPI categories used are Very Dry, Moderately Dry and Extremely Dry associated with the hot and cold phases of the PDO, followed by ENSO events according to the Oceanic Nino index (ONI) in El Nino region 3.4 using an interaction matrix. The matrix was evaluated by the coefficients of Kendall (tau), Sperman (rho), Pearson (r) and R-2 determination, followed by Willmott's concordance index (d), Standard Error of Estimation (SEE) and Student's t-test. The intense activity of La Nina in the cold 1st phase of the PDO increased rainfall with greater intensity in the Northwest region compared to the North. In the 2nd cold phase of the PDO, the events of El Nino, La Nina and Neutral years of the ENSO mutually contribute to the changes in rainfall regime of both regions. The most frequent SPI categories are Moderately Dry and Extremely Dry. SPI-1 was efficient in perceiving extreme droughts, while SPI-12 results were not significant in the revealing of extreme droughts. In addition, there was no relational pattern through statistical indexes between droughts detected by SPI, ENSO and PDO. Nevertheless, when ENSO cycles were persistent within both phases of the PDO, droughts occurred, mainly on the monthly scale.
引用
收藏
页码:91 / 105
页数:15
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