@InProceedings{SantosVeMaFrGaPaLu:2012:PaStFi,
               author = "Santos, Ariane F. dos and Velho, Haroldo F. de Campos and Mattos, 
                         Jo{\~a}o Gerd Z. De and Freitas, Saulo Ribeiro de and Gan, Manoel 
                         A. and Passos, Homailson L. and Luz, Eduardo F. P.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "A parametric study for firefly algorithm by solving an inverse 
                         problem for precipitation field estimation",
            booktitle = "Proceedings...",
                 year = "2012",
                pages = "xx",
         organization = "International Symposium on Uncertainty Quantification and 
                         Stochastic Modeling, 1.",
             keywords = "Cloud parameterization, inverse problem, firefly optimization, 
                         BRAMS.",
             abstract = "In this paper we consider the parameter estimation problem of 
                         weighting the ensemble of convective parameterizations implemented 
                         in the Brazilian developments on the Regional Atmospheric Modeling 
                         System (BRAMS). The inverse problem is applied to BRAMS 
                         precipitation simulations over South America for December 2004. 
                         The forward problem is addressed by BRAMS, and the ensemble of 
                         convective parameterizations are expressed by several 
                         methodologies used to parameterize convection. The inverse problem 
                         is formulated as an optimization problem applying the 
                         metaheuristic Fire\fly algorithm (FA) to retrieve the 
                         weights of the ensemble members. The FA algorithm represents the 
                         patterns of short and rhythmic fashes emitted by 
                         \fire\flies in order to attract other individuals. 
                         The \flashing light is formulated in such a way that it is 
                         associated with the objective function. The precipitation data 
                         estimated by the Tropical Rainfall Measuring Mission (TRMM) 
                         satellite was used as the observed data. The quadratic difference 
                         between the model and the observed data was used as the objective 
                         function to determine the best combination of the ensemble members 
                         to reproduce the TRMM measurements. Sensitivity analysis was used 
                         to test the FA algorithm parameters to adjust the algorithm to 
                         retrieve precipitation observations. The tested parameters were 
                         the initial attractiveness and the gamma parameter, which 
                         characterizes the variation of the attractiveness and is very 
                         important in determining the speed of convergence of the method. 
                         The results showed a high sensitivity to the gamma parameter 
                         variation, and the largest values resulted in the best 
                         combinations of weights, resulting in a retrieved precipitation 
                         \field closest to the observations.",
  conference-location = "Maresias",
      conference-year = "2012",
                label = "lattes: 9873289111461387 4 SantosVeMaFrGaLu:2012:PaStFi",
             language = "en",
           targetfile = "Santos_a parametric.pdf",
        urlaccessdate = "09 maio 2024"
}