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		<doi>10.1007/s00382-017-3640-y</doi>
		<issn>0930-7575</issn>
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		<citationkey>RamosZouOliKurMac:2018:UnNoCo</citationkey>
		<title>Unveiling non&#8209;stationary coupling between Amazon and ocean during recent extreme events</title>
		<year>2018</year>
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		<author>Ramos, Antônio Mário de Torres,</author>
		<author>Zou, Yong,</author>
		<author>Oliveira, Gilvan Sampaio de,</author>
		<author>Kurths, Jürgen,</author>
		<author>Macau, Elbert Einstein Nehrer,</author>
		<orcid>0000-0003-0972-1771</orcid>
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		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>East China Normal University</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Potsdam Institute for Climate Impact Research</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>antonio.ramos@inpe.br</electronicmailaddress>
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		<electronicmailaddress>gilvan.sampaio@inpe.br</electronicmailaddress>
		<journal>Climate Dynamics</journal>
		<volume>50</volume>
		<number>3/4</number>
		<pages>767-776</pages>
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		<contenttype>External Contribution</contenttype>
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		<keywords>Amazon extreme events · Teleconnection · ENSO · Tropical Atlantic · Non-stationary climate interaction · Transfer entropy · Ordinal pattern.</keywords>
		<abstract>The interplay between extreme events in the Amazons precipitation and the anomaly in the temperature of the surrounding oceans is not fully understood, especially its causal relations. In this paper, we investigate the climatic interaction between these regions from 1999 until 2012 using modern tools of complex system science. We identify the time scale of the coupling quantitatively and unveil the non-stationary influence of the oceans temperature. The findings show consistently the distinctions between the coupling in the recent major extreme events in Amazonia, such as the two droughts that happened in 2005 and 2010 and the three floods during 1999, 2009 and 2012. Interestingly, the results also reveal the influence over the anomalous precipitation of Southwest Amazon has become increasingly lagged. The analysis can shed light on the underlying dynamics of the climate network system and consequently can improve predictions of extreme rainfall events.</abstract>
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		<language>en</language>
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