@Article{LemesOliFisTedSil:2020:AnMoTr,
               author = "Lemes, Murilo da Costa Ruv and Oliveira, Gilvan Sampaio de and 
                         Fisch, Gilberto and Tedeschi, Renata Gon{\c{c}}alves and Silva, 
                         Jo{\~a}o Pedro Rodrigues da",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade de 
                         Taubat{\'e} (UNITAU)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade de S{\~a}o Paulo (USP)}",
                title = "Analysis of Moisture Transport from Amazonia to Southeastern 
                         Brazil During the Austral Summer",
              journal = "Revista Brasileira de Geografia F{\'{\i}}sica",
                 year = "2020",
               volume = "13",
               number = "6",
                pages = "2650--2670",
             keywords = "ENSO Brazil, Climate Change, GPCP, reanalysis.",
             abstract = "In two recent Austral summers (between the years 2013/14 and 
                         2014/15), a southeastern region of Brazil suffered a period of 
                         severe drought. The main convective activity during the summer 
                         (mainly responsible for the rain) is an interconnected band of 
                         cloudiness with NW / SE orientation, which extends from the 
                         adjacent Atlantic Ocean to the SW of the Amazon, being called the 
                         South Atlantic Convergence Zone (SACZ). In addition to the SACZ, 
                         the passage of frontal systems also affects the rainfall 
                         distribution as well as some moisture oceanic input from the 
                         Atlantic Subtropical High pressure. Thus, the main objective of 
                         this work is to compute the moisture transfer from the Amazon 
                         region to the south and southeast of Brazil and associate it with 
                         the precipitation pattern. In addition, the influence of different 
                         types of El Niņo Southern Oscillation (ENSO) in the moisture flow, 
                         for instance, Central (higher temperatures in the central 
                         equatorial Pacific) and East (higher temperatures in the eastern 
                         equatorial Pacific) were also studied. The summer of 2013/14 was 
                         the driest of the series (1979 - 2016). Although it was below the 
                         climatology, the precipitation trend found for the period is not 
                         significant, according Mann-Kendall test. However, it is clearly 
                         notable the importance of the moisture transport from the Amazon 
                         region to the southeast in neutral years, providing huge 
                         accumulated rainfall. Moreover, it is possible to affirm that 
                         there is a such significant difference in the intensity of the 
                         moisture flow in neutral years. Although, this intensity can be 
                         influenced by the position of the greatest anomaly of the sea 
                         surface temperature (ASST) in the Pacific. In other words, if this 
                         anomaly is greater in the eastern portion of the ocean (named as 
                         East El Niņo Leste) an intensification in the flow is identified 
                         which will produce a greater amount of moisture in the regions. 
                         However, if the ASST is greater in the central region (El Niņo 
                         Central), this intensification is lower, which may result in 
                         changes in the volume of precipitation in the region.",
                 issn = "1984-2295",
             language = "en",
           targetfile = "lemes_analysis.pdf",
        urlaccessdate = "19 abr. 2024"
}