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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Complex network analysis helps to identify impacts of the El Nino Southern Oscillation on moisture divergence in South America

Texto completo
Autor(es):
Boers, Niklas [1, 2] ; Donner, Reik V. [2] ; Bookhagen, Bodo [3] ; Kurths, Juergen [1, 4, 2]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Humboldt Univ, Dept Phys, D-12489 Berlin - Germany
[2] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Brandenburg - Germany
[3] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 - USA
[4] Univ Aberdeen, Inst Complex Syst & Math Biol, Aberdeen AB24 3FX - Scotland
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: Climate Dynamics; v. 45, n. 3-4, p. 619-632, AUG 2015.
Citações Web of Science: 21
Resumo

We investigate the temporal evolution of moisture divergence and its spatial clustering properties over South America. Our analysis focuses on dependencies on the phase of the El Nino Southern Oscillation (ENSO). Moisture divergence is computed from daily reanalysis data of vertically integrated moisture flux provided by Modern-Era Retrospective Analysis for Research and Applications for the time period from 1979 to 2010. We use a sliding-window approach to construct a sequence of complex networks, each obtained from synchronization of events of strong positive (negative) moisture divergence, which we interpret as strong evapotranspiration (precipitation) events. We make the following three key observations: (1) Moisture divergence values over the Amazon rainforest are typically higher during positive ENSO periods (El Nino events). (2) The spatial coherence of strong positive (upwelling) events assumes a characteristic pattern of reduced coherence in this area during El Nino conditions. This influence of ENSO on moisture divergence and its spatial coherence is dominated by the El Nino events of 1982, 1987, and 1997. (3) The clustering characteristics of the obtained climate networks qualitatively agree with the spatial distribution of connected regions with simultaneous events (i.e., events that occur at the same time), but provide a more detailed view on the spatial organization of strong atmospheric upwelling events. Interestingly, no comparable results are found for negative extremes of moisture divergence (strong precipitation events). (AU)

Processo FAPESP: 11/50151-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
Beneficiário:Elbert Einstein Nehrer Macau
Linha de fomento: Auxílio à Pesquisa - Temático