DOI: 10.1002/joc.5812
Scopus记录号: 2-s2.0-85052837634
论文题名: Exposure assessment of rainfall to interannual variability using the wavelet transform
作者: Zeri M. ; Cunha-Zeri G. ; Gois G. ; Lyra G.B. ; Oliveira-Júnior J.F.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2019
卷: 39, 期: 1 起始页码: 568
结束页码: 578
语种: 英语
英文关键词: drought
; interannual variability
; precipitation
; standardized precipitation index
; wavelet analysis
Scopus关键词: Atmospheric pressure
; Climatology
; Drought
; Oceanography
; Precipitation (chemical)
; Stream flow
; Surface waters
; Wavelet analysis
; Wavelet transforms
; Agricultural development
; Exposure assessment
; Interannual variability
; Rainfall variability
; Sea surface temperature (SST)
; Southern oscillation
; Standardized precipitation index
; Wavelet coefficients
; Rain
; annual variation
; drought
; index method
; precipitation (climatology)
; risk assessment
; time series analysis
; wavelet analysis
; Brazil
; Tocantins
英文摘要: It is generally accepted that El Niño–Southern Oscillation (ENSO) is the main modulator of rainfall variability over Northern South America in the interannual scale. Assuming that, an index is proposed to quantify this expected interannual variability in time series of rainfall. The result is the exposure assessment to the effects of droughts, measured with the Standardized Precipitation Index (SPI) for the monthly scale. The SPI is calculated from rainfall series, and wavelet analysis is used to estimate the variance for different frequencies present in the signal. The Wavelet Interannual Variability Index (WIVI) is calculated as the sum of the wavelet coefficients over a predetermined range of modes of variability (with periods longer than 2 year and shorter than 8 years). The index was tested using a dataset of rainfall records from Tocantins state, Central Brazil. Most of the series ranged from 1974 to 2012. On average, the series had 3.2% of gaps which were not filled to avoid the effect of artificial trends on the data. The state lies mostly over the Cerrado biome and is a new frontier of agricultural development in Brazil. According to the results, the Northern region is under higher exposure of interannual variability, with higher values of WIVI. The assessment is in agreement with large-scale features of South American climate, specifically considering the influences of the Pacific and Atlantic Oceans and their patterns of sea surface temperature (SST). © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116666
Appears in Collections: 全球变化的国际研究计划
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作者单位: National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil; Center for Earth System Science (CCST), National Institute for Space Research (INPE), São José dos Campos, Brazil; Escola de Engenharia Industrial Metalúrgica de Volta Redonda, Centro Tecnológico, Universidade Federal Fluminense (UFF), Rio de Janeiro, Brazil; Departamento de Ciências Ambientais (DCA), Instituto de Florestas (IF), Universidade Federal Rural do Rio de Janeiro (UFRRJ), Rio de Janeiro, Brazil; Instituto de Ciências Atmosféricas (ICAT), Universidade Federal de Alagoas (UFAL), Maceió, Brazil
Recommended Citation:
Zeri M.,Cunha-Zeri G.,Gois G.,et al. Exposure assessment of rainfall to interannual variability using the wavelet transform[J]. International Journal of Climatology,2019-01-01,39(1)