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@InProceedings{ValérioKampCortOrti:2012:AnTeCo,
               author = "Val{\'e}rio, Larissa Patricio and Kampel, Milton and Cortivo, 
                         Fabio Dall and Ortiz, Gustavo Provout",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise temporal da concentra{\c{c}}{\~a}o de clorofila-a a 
                         superf{\'{\i}}cie do mar na regi{\~a}o oce{\^a}nica sudeste 
                         brasileira",
            booktitle = "Anais...",
                 year = "2012",
                pages = "1321--1325",
         organization = "Congresso Brasileiro de Oceanografia.",
             keywords = "timing, spring bloom, time series.",
             abstract = "In order to analyze the variability of phytoplankton blooms, a 
                         thirteen-year chlorophyll-a time series (1998-2010) was done from 
                         GlobColour weekly (8-days) product data set. The maximum 
                         chlorophylla and the increasing biomass beginning year days were 
                         computed from the original data and from the original data 
                         adjusted with a Gaussian curve model. The time series showed a 
                         clear seasonal pattern with increasing amplitude of chlorophyll-a 
                         value, and a positive trend toward the maximum values were found. 
                         The maximum chlorophyll-a year day was predominant in July 
                         (southern winter), and phytoplankton blooms were found to begin in 
                         April/May (southern fall) corroborating studies in the North 
                         Atlantic and South Pacific. The modeled ones showed the same 
                         patterns, indicating a good agreement with the original data set, 
                         except the magnitude of the values which were not exactly 
                         reproduced by the model, which smoothed the data.",
  conference-location = "Rio de Janeiro",
      conference-year = "2012",
                label = "lattes: 9742260625234675 1 Val{\'e}rioKampCortOrti:2012:AnTeCo",
             language = "pt",
           targetfile = "valerio_analise.pdf",
        urlaccessdate = "30 abr. 2024"
}


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