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Title

Influence of decadal sea surface temperature variability on northern Brazil rainfall in CMIP5 simulations

AuthorsVillamayor, Julián; Ambrizzi, Tércio; Mohino, E.
KeywordsCMIP5
Decadal variability
Northeast Brazil
Amazonia
AMV
IPO
Issue DateJul-2018
PublisherSpringer
CitationClimate Dynamics 51(1-2): 563–579 (2018)
AbstractThe 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.
Publisher version (URL)https://doi.org/10.1007/s00382-017-3941-1
URIhttp://hdl.handle.net/10261/185797
DOI10.1007/s00382-017-3941-1
ISSN0930-7575
E-ISSN1432-0894
Appears in Collections:(IGEO) Artículos
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