@InProceedings{SantosFreLuzVelGan:2010:PaI:Re,
               author = "Santos, Ariane Frassoni dos and Freitas, Saulo Ribeiro de and Luz, 
                         Eduardo Favero Pacheco da and Velho, Haroldo Fraga de Campos and 
                         Gan, Manoel Alonso",
          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)}",
                title = "Optimization firefly method for weighted ensemble of convective 
                         parameterizations: part I: results with a synthetic precipitation 
                         field",
            booktitle = "Posters",
                 year = "2010",
         organization = "The Meeting of the Americas.",
            publisher = "AGU",
             keywords = "convective processes, numerical solutions.",
             abstract = "An unsolved problem in meteorology is to represent clouds and 
                         their collective effects in regional or large scale atmospheric 
                         numerical models, since the physical processes of the clouds and 
                         their interaction with the environment are not well understood 
                         yet. In the atmospheric models with grid spacing around 10 Km or 
                         greater the effects of clouds on the atmosphere are represented by 
                         convective parameterizations. The inverse problem methodology for 
                         parameter estimation is applied to a challenging meteorological 
                         phenomenon that causes intense rainfall over South America. The 
                         inverse problem is formulated as an optimization problem, where 
                         the goal is to apply and to evaluate the Firefly method (FA) as an 
                         optimizer for retrieving the weights of the ensemble of convective 
                         parameterizations of Grell and D{\'e}v{\'e}nyi. The forward 
                         problem is addressed by the Coupled Chemistry-Aerosol-Tracer 
                         Transport-Brazilian developments on the Regional Atmospheric 
                         Modeling System (CCATT-BRAMS), and the ensemble of convective 
                         parameterizations is expressed by several methodologies used to 
                         parameterize convection. The simulation of convective 
                         precipitation associated with South Atlantic Convergence Zone 
                         (SACZ) occurred on 21 February 2004 with each parameterization is 
                         simulated. A synthetic noiseless field of convective precipitation 
                         is computed as a weighted sum of the simulated precipitation 
                         fields. The FA method has two important issues: the definition of 
                         the variation of light intensity viewed by the fireflies, and the 
                         formulation of the attractiveness of the fireflies, determined by 
                         its brightness witch it characterizes the evaluation of the 
                         objective function. Each firefly represents a five dimension 
                         candidate solution and the brightest firefly represents the best 
                         set of weights of the convective parameterizations. The algorithm 
                         was applied with 20 fireflies and 1000 iterations. The results 
                         showed a very good inverse solution, and the retrieved field was 
                         in agreement with the synthetic precipitation field.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "8-12 Aug. 2010",
             language = "en",
           targetfile = "poster_agu_1_ariane.pdf",
        urlaccessdate = "01 maio 2024"
}