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@Article{AndreoliOlKaViSoCa:2017:InDiEl,
               author = "Andreoli, Rita Val{\'e}ria and Oliveira, Suzana Soares de and 
                         Kayano, Mary Toshie and Viegas, Juarez and Souza, Rodrigo Augusto 
                         Ferreira de and Candido, Luiz Antonio",
          affiliation = "{Universidade do Estado do Amazonas (UEA)} and {Instituto Nacional 
                         de Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         da Amaz{\^o}nia (INPA)} and {Universidade do Estado do Amazonas 
                         (UEA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA)}",
                title = "The influence of different El Niņo types on the South American 
                         rainfall",
              journal = "International Journal of Climatology",
                 year = "2017",
               volume = "37",
               number = "3",
                pages = "1374--1390",
             keywords = "El Nino-Southern Oscillation, precipitation, South America.",
             abstract = "The impacts of El Nino (EN) on the rainfall over South America are 
                         investigated considering three EN types differing in the locations 
                         of the maximum sea surface temperature (SST) anomalies in the 
                         equatorial Pacific: the Central-Pacific (CP), Eastern-Pacific (EP) 
                         and the Mixed (MIX) types. The largest positive (SST) anomalies 
                         for the EP and CP types occur, respectively, in the eastern and 
                         central sectors of the tropical Pacific during all seasons. The 
                         SST anomaly pattern for the MIX-EN resembles that of the EP-EN 
                         during its onset stage, and of the CP-EN during its mature and 
                         demise stages. The different SST anomaly patterns affect the 
                         large-scale (Walker circulation and the tropospheric Rossby-wave 
                         trains) and local (South American low-level jet-SALLJ) atmospheric 
                         circulation patterns in different ways and lead to distinct 
                         precipitation anomaly patterns over South America. Variations in 
                         the position and longitudinal extension of the downward motions of 
                         the EN-related eastward-displaced Walker circulation explain the 
                         differences in the dryness over equatorial South America. For the 
                         CP-EN, a double Walker cell defines a more zonal configuration of 
                         the equatorial dryness over South America during the first three 
                         analysed seasons. This feature is not noted for the other two EN 
                         types. The Rossby-wave train pattern path depends on the EN types 
                         and seasons. In consequence, the associated local atmospheric 
                         circulation patterns depend also on the season and EN types. In 
                         all seasons, an intense SALLJ for the EP EN contrasts with weak or 
                         inexistence SALLJ for the other two EN types. Thus, a wetter 
                         condition over southeastern South America, southern and eastern 
                         Brazil occurs for the EP EN in relation to the other EN types. The 
                         results shown here, in particular considering the MIX EN type, 
                         have not been discussed before and might be useful mainly for 
                         climate monitoring purposes.",
                  doi = "10.1002/joc.4783",
                  url = "http://dx.doi.org/10.1002/joc.4783",
                 issn = "0899-8418",
             language = "en",
           targetfile = "andreoli_influence.pdf",
        urlaccessdate = "24 nov. 2020"
}


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