Effects of extreme phases of El Niño-Southern Oscillation on rainfall extremes in Alagoas, Brazil

被引:3
|
作者
Santos, Juliana de Sousa [1 ,2 ]
de Oliveira-Junior, Jose Francisco [1 ,2 ,3 ]
Costa, Micejane da Silva [1 ,2 ]
Cardoso, Kelvy Rosalvo Alencar [1 ,2 ,4 ]
Shah, Munawar [5 ,6 ]
Shahzad, Rasim [5 ,6 ]
da Silva, Luis Felipe Francisco Ferreira [1 ,2 ,3 ]
Romao, William Max de Oliveira [1 ,2 ]
Singh, Sudhir Kumar [7 ]
Mendes, David [8 ]
Santos, Iwldson Guilherme da Silva [9 ,10 ]
da Silva Junior, Rosiberto Salustiano [4 ]
机构
[1] Univ Fed Alagoas UFAL, Lab Meteorol Aplicada & Meio Ambiente LAMMA, Inst Ciencias Atmosfer ICAT, Maceio, Brazil
[2] Univ Fed Alagoas UFAL, Programa Posgrad Arquitetura & Urbanismo PPGAU, Maceio, Brazil
[3] Univ Fed Fluminense UFF, Posgrad Engn Biossistemas PGEB, Niteroi, Brazil
[4] Univ Fed Alagoas UFAL, Lab Modelagem Atmosfer LABMODEL, Inst Ciencias Atmosfer ICAT, Maceio, Brazil
[5] Inst Space Technol, Islamabad, Pakistan
[6] Tongji Univ, Coll Surveying & Geoinformat, Shanghai, Peoples R China
[7] Univ Allahabad, K Banerjee Ctr Atmospher & Ocean Studies, Prayagraj 211002, UP, India
[8] Fed Univ Rio Grande Do Norte UFRN, Ctr Exact & Earth Sci CCET, Dept Atmospher & Climate Sci DCAC, Natal, Brazil
[9] Univ Fed Campina Grande UFCG, Unidade Acad Ciencias Atmosfer UACA, Campina Grande, Brazil
[10] Univ Fed Campina Grande UFCG, Ctr Tecnol & Recursos Nat CTRN, Campina Grande, Brazil
关键词
climate extremes; drought; ENSO; Oceanic Nino Index; precipitation; VARIABILITY; NORTHEAST; STATE;
D O I
10.1002/joc.8288
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The Northeast of Brazil (NEB) is influenced by the phases of El Nino-Southern Oscillation (ENSO), which are associated with increased or decreased rainfall in the East NEB (ENEB). The study evaluated the effects of extreme ENSO phases on rainfall extremes in ENEB. Rainfall data from 54 stations in Alagoas were obtained from the National Water and Basic Sanitation Agency (ANA) and subjected to statistical analysis, with a data imputation method used to fill in gaps in the time series. The Inverse Distance Weighting (IDW) method was consistent and suitable for spatially representing rainfall data in the state of Alagoas, according to the adopted statistical indicators. Extreme, decadal and anomaly maps were interpolated using IDW method in Quantum GIS (QGIS), due to the positioning of the stations. The criteria for analysing extreme ENSO years were based on the Oceanic Nino Index (ONI) for region 3.4, between 1960 and 2016. The results show high interannual variability due to ENSO phases in the climatic mesoregions of Alagoas. In over 70% of extreme ENSO years, rainfall was below average (during strong and very strong El Nino) or above average (during strong La Nina). Some cities in the mesoregions of Alagoas experienced higher rainfall than others, even in extreme ENSO situations, suggesting the influence of physiography and multiscale meteorological systems. On a decadal scale, the East region recorded the highest rainfall accumulations, primarily due to decadal variability of two rainfall cores, corresponding to the Metropolitan Region of Maceio (MRM) and the northern part of the state. An exception is the Upper Sao Francisco region, which experiences dry decades. The East mesoregion (coast) had higher rainfall records compared to the more continental mesoregions (Hinterland and Arid), regardless of ENSO phases and interannual and decadal scales.
引用
收藏
页码:7700 / 7721
页数:22
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