author = "Ramos, Ant{\^o}nio M{\'a}rio de Torres and Zou, Yong and 
                         Oliveira, Gilvan Sampaio de and Kurths, J{\"u}rgen and Macau, 
                         Elbert Einstein Nehrer",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {East China 
                         Normal University} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Potsdam Institute for Climate Impact Research} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Unveiling non\‑stationary coupling between Amazon and ocean 
                         during recent extreme events",
              journal = "Climate Dynamics",
                 year = "2018",
               volume = "50",
               number = "3/4",
                pages = "767--776",
             keywords = "Amazon extreme events · Teleconnection · ENSO · Tropical 
                         Atlantic · Non-stationary climate interaction · Transfer entropy · 
                         Ordinal pattern.",
             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.",
                  doi = "10.1007/s00382-017-3640-y",
                  url = "http://dx.doi.org/10.1007/s00382-017-3640-y",
                 issn = "0930-7575",
                label = "self-archiving-INPE-MCTIC-GOV-BR",
             language = "en",
           targetfile = "ramos_unveiling.pdf",
        urlaccessdate = "25 nov. 2020"