@Article{SoppaSouzPezz:2011:VaAnTe,
               author = "Soppa, Mariana and Souza, Ronald Buss de and Pezzi, Luciano 
                         Ponzi",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Variabilidade das anomalias de temperatura da superf{\'{\i}}cie 
                         do mar no Oceano Atl{\^a}ntico Sudoeste e sua rela{\c{c}}{\~a}o 
                         com o fen{\^o}meno El Nino-Oscila{\c{c}}{\~a}o Sul",
              journal = "Revista Brasileira de Meteorologia",
                 year = "2011",
               volume = "26",
               number = "3",
                pages = "375 - 391",
             keywords = "anomalia da temperatura da superf{\'{\i}}cie do mar, El Niņo - 
                         Oscila{\c{c}}{\~a}o Sul, Oceano Atl{\^a}ntico Sudoeste, 
                         prov{\'{\i}}ncias biof{\'{\i}}sicas, sea surface temperature 
                         anomalies, El Niņo-Southern Oscillation, Southwestern Atlantic 
                         Ocean, biophysical provinces.",
             abstract = "Este trabalho apresenta um estudo sobre a variabilidade dos campos 
                         de anomalia da temperatura da superf{\'{\i}}cie do mar (ATSM), 
                         obtidos atrav{\'e}s imagens de sat{\'e}lites em regi{\~o}es sob 
                         a influ{\^e}ncia dos diferentes regimes oceanogr{\'a}ficos e/ou 
                         biof{\'{\i}}sicos no Oceano Atl{\^a}ntico Sudoeste (ATS). Para 
                         tanto, s{\'e}ries temporais de ATSM de 1985 a 2006 foram 
                         investigadas em nove sub-{\'a}reas no ATS, divididas nos 
                         dom{\'{\i}}nios subtropical, intermedi{\'a}rio e 
                         subant{\'a}rtico. An{\'a}lise espectral aplicada {\`a}s 
                         s{\'e}ries de ATSM revelou ciclos no per{\'{\i}}odo interanual 
                         entre 1,6 e 3,7 anos. An{\'a}lise de correla{\c{c}}{\~a}o 
                         cruzada foi usada para estabelecer a rela{\c{c}}{\~a}o entre os 
                         ciclos presentes na ATSM e os eventos do fen{\^o}meno El Niņo 
                         Oscila{\c{c}}{\~a}o Sul (ENOS), representados aqui a partir do 
                         {\'{\I}}ndice Multivariado do ENOS (MEI). Os resultados 
                         evidenciam uma correla{\c{c}}{\~a}o estatisticamente 
                         significante, defasada no tempo, entre o ENOS e anomalias termais 
                         no ATS, por{\'e}m sem uma associa{\c{c}}{\~a}o direta entre os 
                         epis{\'o}dios quentes (frios) de El Niņo (La Niņa) e ATSMs 
                         positivas (negativas). Dentre as diversas {\'a}reas de estudo, a 
                         correla{\c{c}}{\~a}o {\'e} m{\'a}xima sobre a regi{\~a}o da 
                         Conflu{\^e}ncia Brasil-Malvinas (-0,78), com defasagem de tempo 
                         de 9 meses ap{\'o}s a La Niņa de maio de 1988 a maio de 1989. 
                         ABSTRACT: SEA SURFACE TEMPERATURE ANOMALY VARIABILITY IN THE 
                         SOUTHWESTERN ATLANTIC OCEAN AND ITS RELATIONSHIP WITH THE EL NIŅO 
                         - SOUTHERN OSCILLATION This work presents a study on the 
                         variability of satellite-derived sea surface temperature anomaly 
                         (SSTA) fields in regions under the influence of different 
                         oceanographic and/or biophysical patterns in the South-western 
                         Atlantic Ocean (SWA). In order to accomplish that, time series of 
                         SSTA from 1985 to 2006 were investigated over nine sub-areas in 
                         the SWA, divided into the subtropical, intermediate and sub 
                         Antarctic domains. Spectral analysis applied to the SSTA time 
                         series reveled cycles in the interannual period between 1.6 and 
                         3.7 years. Cross correlation analysis was used aiming to establish 
                         the relation between the cycles present in the SSTA and the El 
                         Niņo - Southern Oscillation (ENSO) events, represented here by the 
                         Multivariate ENSO Index (MEI). The results show a statistically 
                         significant, lagged in time, correlation between the ENSO and 
                         thermal anomalies in the SWA, however there is no direct 
                         association between the warm (cold) El Niņo (La Niņa) episodes 
                         with positive (negative) SSTAs. Among all distinct study areas, 
                         the maximum correlation occurs in the Brazil-Malvinas Confluence 
                         region (-0,78), with a time lag of 9 months after the La Niņa of 
                         May 1988 to May 1989.",
                 issn = "0102-7786",
                label = "lattes: 0537824080913130 2 SoppaSouzPezz:2011:VaAnTe",
             language = "pt",
           targetfile = "a05v26n3.pdf",
        urlaccessdate = "16 jun. 2024"
}