globalchange  > 影响、适应和脆弱性
DOI: 10.1007/s00382-017-3642-9
Scopus记录号: 2-s2.0-85016488778
论文题名:
Historical analysis of interannual rainfall variability and trends in southeastern Brazil based on observational and remotely sensed data
作者: Vásquez P I.L.; de Araujo L.M.N.; Molion L.C.B.; de Araujo Abdalad M.; Moreira D.M.; Sanchez A.; Barbosa H.A.; Rotunno Filho O.C.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 50, 期:2018-03-04
起始页码: 801
结束页码: 824
语种: 英语
Scopus关键词: annual variation ; climate prediction ; extreme event ; historical perspective ; landslide ; observational method ; rainfall ; raingauge ; regional climate ; regional pattern ; remote sensing ; sea surface temperature ; smoothing ; trend analysis ; wavelet analysis ; Brazil
英文摘要: The Brazilian Southeast is considered a humid region. It is also prone to landslides and floods, a result of significant increases in rainfall during spring and summer caused by the South Atlantic Convergence Zone (SACZ). Recently, however, the region has faced a striking rainfall shortage, raising serious concerns regarding water availability. The present work endeavored to explain the meteorological drought that has led to hydrological imbalance and water scarcity in the region. Hodrick-Prescott smoothing and wavelet transform techniques were applied to long-term hydrologic and sea surface temperature (SST)—based climate indices monthly time series data in an attempt to detect cycles and trends that could help explain rainfall patterns and define a framework for improving the predictability of extreme events in the region. Historical observational hydrologic datasets available include monthly precipitation amounts gauged since 1888 and 1940 and stream flow measured since the 1930s. The spatial representativeness of rain gauges was tested against gridded rainfall satellite estimates from 2000 to 2015. The analyses revealed variability in four time scale domains—infra-annual, interannual, quasi-decadal and inter-decadal or multi-decadal. The strongest oscillations periods revealed were: for precipitation—8 months, 2, 8 and 32 years; for Pacific SST in the Niño-3.4 region—6 months, 2, 8 and 35.6 years, for North Atlantic SST variability—6 months, 2, 8 and 32 years and for Pacific Decadal Oscillation (PDO) index—6.19 months, 2.04, 8.35 and 27.31 years. Other periodicities less prominent but still statistically significant were also highlighted. © 2017, Springer-Verlag Berlin Heidelberg.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109471
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: Programa de Engenharia Civil, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, COPPE, Universidade Federal do Rio de Janeiro, Caixa Postal 68540, Rio de Janeiro, RJ 21945-970, Brazil; Agência Nacional de Águas, Brasília, Brazil; Instituto de Ciências Atmosféricas Universidade Federal de Alagoas, Maceió, Brazil; Instituto de Geociências, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil; Companhia de Pesquisa de Recursos Minerais, Serviço Geológico do Brasil, Rio de Janeiro, RJ, Brazil; Laboratório de Processamento de Imagens de Satélites (LAPIS), Universidade Federal de Alagoas (UFAL), Maceió, Brazil

Recommended Citation:
Vásquez P I.L.,de Araujo L.M.N.,Molion L.C.B.,et al. Historical analysis of interannual rainfall variability and trends in southeastern Brazil based on observational and remotely sensed data[J]. Climate Dynamics,2018-01-01,50(2018-03-04)
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