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@Article{SatyamurtyRosa:2019:SyClTr,
               author = "Satyamurty, Prakki and Rosa, Marcelo Barbio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Synoptic climatology of tropical and subtropical South America and 
                         adjoining seas as inferred from GOES satellite imagery",
              journal = "International Journal of Climatology",
                 year = "2019",
               volume = "39",
               number = "10",
                pages = "1--22",
             keywords = "satellite imagery, seasonal variability, south American 
                         climatology, synoptic systems.",
             abstract = "Three-hourly infrared, visible and water vapour channel satellite 
                         imagery from the Geostationary Operational Environmental Satellite 
                         for the 15-year period 20032017 is processed to obtain a 
                         climatology for the South American region. All major features such 
                         as the Intertropical Convergence Zones, the South Atlantic 
                         Convergence Zone, the Amazon Basin convection, the Atacama Desert 
                         and the Northeast Brazil semiarid region are well delineated. 
                         Seasonal migrations and shifts of cloud systems are obtained. The 
                         study reveals the precise locations and extents of convective 
                         regions associated with large scale permanent and semi-permanent 
                         features. The double Intertropical Convergence Zone in eastern 
                         equatorial Pacific is discussed. Some hitherto unnoticed and 
                         little discussed features such as the coastal cloud inhibition 
                         near the southeastern Brazil region and a conspicuous convective 
                         region near the coast of the state of Para are found. The 
                         dynamical reasons for the formation of these features are 
                         postulated. This climatology should serve to validate different 
                         climate-scenario models and Numerical Weather Prediction models, 
                         besides providing guidance to operational meteorologists of the 
                         region.",
                  doi = "10.1002/joc.6217",
                  url = "http://dx.doi.org/10.1002/joc.6217",
                 issn = "0899-8418",
                label = "lattes: 1550003350972703 2 SatyamurtyRosa:2019:SyClTr",
             language = "en",
           targetfile = "Satyamurty_et_al-2019-International_Journal_of_Climatology.pdf",
                  url = "https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.6217?af=R\&",
        urlaccessdate = "21 abr. 2021"
}


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