DOI: 10.1007/s00382-017-3941-1
Scopus记录号: 2-s2.0-85031119312
论文题名: Influence of decadal sea surface temperature variability on northern Brazil rainfall in CMIP5 simulations
作者: Villamayor J. ; Ambrizzi T. ; Mohino E.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 51, 期: 2018-01-02 起始页码: 563
结束页码: 579
语种: 英语
英文关键词: Amazonia
; AMV
; CMIP5
; Decadal variability
; IPO
; Northeast Brazil
Scopus关键词: Atlantic Multidecadal Oscillation
; climate modeling
; CMIP
; decadal variation
; Pacific Decadal Oscillation
; precipitation (climatology)
; rainfall
; sea surface temperature
; temperature anomaly
; temperature gradient
; Amazonia
; Atlantic Ocean
; Atlantic Ocean (Tropical)
; Brazil
; Pacific Ocean
; Pacific Ocean (Tropical)
英文摘要: The Amazonia and Northeast regions of northern Brazil are characterized by very different rainfall regimes but have certain similarities in terms of their variability. The precipitation variability in both regions is strongly linked to the tropical Atlantic sea surface temperature (SST) gradient and the tropical Pacific SST anomalies, which at decadal timescales are modulated by the Atlantic Multidecadal Variability (AMV) and the Interdecadal Pacific Oscillation (IPO) modes of SST, respectively. On the other hand, it has been found that state-of-the-art models from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) are able to reproduce some of the characteristics of the low-frequency SST variability modes. In this work we analyze how CMIP5 models simulate the observed response of precipitation in the Amazonia and Northeast regions to the AMV and the IPO and the atmospheric mechanisms involved. Results show that, in both CMIP5 simulations and observations, Amazonia and Northeast rainfall response to the AMV is the opposite, due to the modulation of the intertropical convergence zone (ITCZ) position. Conversely, the IPO affects equally both regions as a consequence of anomalous subsidence over the entire northern Brazil triggered by warm SST anomalies in the tropical Pacific. Such results suggest that an improvement of the predictability of decadal SST modes will directly revert into a better prediction of changes in the Amazonia and Northeast rainfall at longer timescales. © 2017, Springer-Verlag GmbH Germany. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109214
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: Departamento de Geofísica y Meteorología, Facultad de C.C. Físicas, Universidad Complutense de Madrid (UCM), Pza. de las Ciencias, Madrid, 28040, Spain; Instituto de Geociencias (IGEO), Madrid, Spain; Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG), Universidade de São Paulo (USP), São Paulo, Brazil
Recommended Citation:
Villamayor J.,Ambrizzi T.,Mohino E.. Influence of decadal sea surface temperature variability on northern Brazil rainfall in CMIP5 simulations[J]. Climate Dynamics,2018-01-01,51(2018-01-02)