Firefly optimization to determine the precipitation field on South America

References

• C.E.M. Tucci, Modelos Hidrológicos, ABRH Editora da UFRGS, Porto Alegre, 1998 (in Portuguese).
   Google Scholar
• Vila, DA, de Gonçalves, LGG, Toll, DL, and Rozante, JR, 2009. Statistical evaluation of combined daily gauge observations and rainfall satellite estimates over continental South America, J. Hydrometeorol. 10 (2009), pp. 533–543.
   Web of Science ®Google Scholar
• A. Arakawa, Modelling clouds and cloud processes for use in climate model. The Physical Basis of Climate and Modelling, GARP Publication Series, no. 16, WMO, Geneva, 1975, pp. 183–197.
   Google Scholar
• W.R. Cotton and R.A. Anthes, Storm and Cloud Dynamics, Academic Press, San Diego, CA, 1989. (International Geophysics Series, Vol. 44).
   Google Scholar
• K. Ooyama, A theory on parameterization of cumulus convection, J. Meteorol. Soc. Jpn. 39 (Special issue) (1971), pp. 744–756.
   Google Scholar
• Arakawa, A, and Schubert, EWH, 1974. Interaction of a cumulus cloud ensemble with the large-scale environment, Part I, J. Atmos. Sci. 31 (1974), pp. 674–701.
   Web of Science ®Google Scholar
• Kuo, HL, 1974. Further studies of the parameterization of the influence of cumulus convection on large-scale flow, J. Atmos. Sci. 31 (1974), pp. 1232–1240.
   Web of Science ®Google Scholar
• Betts, AK, 1986. A new convective adjustment scheme. Part I: Observational and theoretical basis, Q. J. R. Meteorolog. Soc. 112 (1986), pp. 677–691.
   Web of Science ®Google Scholar
• Grell, G, 1993. Prognostic evaluation of assumptions used by cumulus parameterizations, Mon. Weather Rev. 121 (1993), pp. 764–787.
   Web of Science ®Google Scholar
• Grell, GA, and Dévényi, D, 2002. A generalized approach to parameterizing convection combining ensemble and data assimilation techniques, Geophys. Res. Lett. 29 (14) (2002), pp. 1693–1694.
   Web of Science ®Google Scholar
• Freitas, SR, Longo, KM, Silva Dias, MAF, Chatfield, R, Silva Dias, P, Artaxo, P, Andreae, MO, Grell, G, Rodrigues, LF, Fazenda, A, and Panetta, J, 2009. The coupled aerosol and tracer transport model to the Brazilian developments on the regional atmospheric modeling system (CATT-BRAMS) – Part 1: Model description and evaluation, Atmos. Chem. Phys. 9 (2009), pp. 2843–2861.
   Web of Science ®Google Scholar
• Kain, JS, and Fritsch, JM, 1992. The role of the convective trigger function in numerical forecasts of mesoscale convective systems, Meteorol. Atmos. Phys. 49 (1992), pp. 93–106.
   Web of Science ®Google Scholar
• Brown, JM, 1979. Mesoscale unsaturated downdrafts driven by rainfall evaporation: A numerical study, J. Atmos. Sci. 36 (1979), pp. 313–338.
   Web of Science ®Google Scholar
• Krishnamurti, TN, Low-nam, S, and Pasch, R, 1983. Cumulus parameterizations and rainfall rates II, Mon. Weather Rev. 111 (1983), pp. 815–828.
   Web of Science ®Google Scholar
• Freitas, SR, Longo, K, Dias, MS, Dias, PS, Chatfield, R, Prins, E, Artaxo, P, Grell, G, and Recuero, F, 2005. Monitoring the transport of biomass burning emissions in South America, Environ. Fluid Mech. 5 (2005), pp. 135–167.
   Web of Science ®Google Scholar
• Gevaerd, R, Freitas, SR, Longo, M, Moreira, DS, Silva Dias, MA, and Silva Dias, P, 2006. Estimativa operacional da umidade do solo para iniciação de modelos de previsão numérica da atmosfera. Parte II: Impacto da umidade do solo e da parametrização de cumulus na simulação de uma linha seca, Rev. Bras. Meteorol. 21 (3a) (2006), pp. 74–88.
   Google Scholar
• Beck, JV, Blackwell, B, and Clair, C.R., 1985. Inverse Heat Conduction: Ill-Posed Problems. New York: John Wiley & Sons; 1985.
   Google Scholar
• Twomey, S, 1977. Introduction to the Mathematics of Inversion in Remote Sensing and Indirect Measurements. Amsterdam: Elsevier Scientific; 1977.
   Google Scholar
• Liou, KN, 1982. An Introduction to Atmospheric Radiation. Orlando, FL: Academic Press; 1982.
   Google Scholar
• J.C. Carvalho, Inferência de perfis verticais de temperatura utilizando uma técnica iterativa implícita de inversão, M.Sc. thesis (Meteorology), INPE, São José dos Campos (Brazil), 1998 (in Portuguese).
   Google Scholar
• J.C. Carvalho, Modelagem e análise de sondagens remotas sobre o Brasil utilizando-se o sistema ICI, D.Sc. thesis (Meteorology), INPE, São José dos Campos (Brazil), 2002 (in Portuguese).
   Google Scholar
• Ramos, FM, Campos Velho, HF, Carvalho, JC, and Ferreira, NJ, 1999. Novel approaches on entropic regularization, Inverse Probl. 15 (1999), pp. 1139–1148.
   Web of Science ®Google Scholar
• E.H. Shiguemori, Recuperação de perfis de temperatura e umidade da atmosfera a partir de dados de satélite – abordagens por redes neurais artificiais e implementação em hardware, D.Sc. thesis (Applied Computing), INPE, São José dos Campos (Brazil), 2007 (in Portuguese).
   Google Scholar
• Shiguemori, EH, Da Silva, JDS, Campos Velho, HF, and Carvalho, JC, 2008. Atmospheric temperature retrieval by a radial basis function neural network, Int. J. Inf. Commun. Technol. 1 (2008), pp. 224–239.
   Google Scholar
• H.H. Barboza, C. De, A.L. Bortoli, R.D. Cunha, and J.C. Simoes, Simulação bidimensional do fluxo da geleira Lange, ilha Rei George, Antártica, TEMA 4(2) (2003), pp. 159–166 (in Portuguese).
   Google Scholar
• Daley, R, 1991. Atmospheric Data Analysis. Cambridge: Cambridge University Press; 1991.
   Google Scholar
• Kalnay, E, 2003. Atmospheric Modeling, Data Assimilation and Predictability. Cambridge: Cambridge University Press; 2003.
   Google Scholar
• Zannetti, P, 1990. Air Pollution Modeling. Theories, Computational Methods and Available Software. New York: Kluwer Academic; 1990.
   Google Scholar
• P. Kashibathla, M. Heimann, P. Rayner, N. Mahowald, R.G. Prinn, and D.E. Hartley (eds.), Inverse Methods in Global Biogeochemical Cycles, Geophysical Monograph 114, American Geophysical Union, Washington, DC, 2000.
   Google Scholar
• D.R. Roberti, Problemas inversos em física da atmosfera. Santa Maria, D.Sc. thesis (Physics), Centro de Ciências Naturais e Exatas, Universidade Federal de Santa Maria (Brazil), 2005 (in Portuguese).
   Google Scholar
• Roberti, DR, Anfossi, D, Campos Velho, HF, and Degrazia, GA, 2007. Estimation of pollutant source emission rate from experimental data, Nuovo Cimento Soc. Ital. Fis. C 30 (2007), pp. 177–186.
   Web of Science ®Google Scholar
• Bocquet, M, 2005. Reconstruction of an atmospheric tracer source using the principle of maximum entropy, I: Theory, Q. J. R. Meteorolog. Soc. 131 (2005), pp. 2191–2208.
   Web of Science ®Google Scholar
• E.F.P. Luz, H.F. de Campos Velho, J.C. Becceneri, and D.R. Roberti, Estimating atmospheric area source strength through particle swarm optimization. In: Inverse Problems, Desing and Optimization Symposium, Miami (IPDO-2007), Vol. 1, 2007, pp. 354–359.
   Google Scholar
• Tikhonov, AN, and Arsenin, VY, 1977. Solution of Ill-Posed Problems. New York: Winston and Sons; 1977.
   Google Scholar
• H.F. de Campos Velho, Problemas Inversos em Pesquisa Espacial, Sociedade Brasileira de Matematica Aplicada e Computacional, Sao Carlos, 2008.
   Google Scholar
• H.F. Campos Velho, Inverse problems in space research, Brazilian Society for Computational and Applied Mathematics (SBMAC), São Carlos, 2008 (in Portuguese).
   Google Scholar
• Yang, X, 2008. Nature-Inspired Metaheuristic Algorithms. London: Luniver Press; 2008.
   Google Scholar
• Gevaerd, R, and Freitas, SR, 2006. Estimativa operacional da umidade do solo para iniciação de modelos de previsão numérica da atmosfera. Parte I: Descrição da metodologia e validação, Rev. Bras. Meteorol. 21 (3a) (2006), pp. 59–73.
   Google Scholar
• Mellor, GL, and Yamada, T, 1982. Development of a turbulence closure model for geophysical fluid problems, Rev. Geophys Phys. Space Phys. 20 (1982), pp. 851–875.
   Web of Science ®Google Scholar
• J.S. Olson, Global ecosystem framework-definitions, USGS EROS Data Center Internal Report, Sioux Falls, SD, 1994.
   Google Scholar
• Proveg. Atualização da Representação da vegetação nos Modelos Numéricos do CPTEC, 2005, Available at www.cptec.inpe.br/proveg.
   Google Scholar
• M.F. Sestini, É.S. Reimer, D.M. Valeriano, R.C.S. Alvalá, E.M.K. Mello, C.S. Chan, and C.A. Nobre, Mapa de cobertura da terra da Amazônia Legal para uso em modelos meteorólogicos, in Simpósio Brasileiro de Sensoriamento Remoto 11 (SBSR), 2003, Belo Horizonte, Anais, INPE, São José dos Campos, 2003. pp. 2901–2906. Available http://urlib.net/rep/ltid.inpe.br/sbsr/2002/11.22.20.34?languagebutton=pt-BR“\n_blankhttp://urlib.net/ltid.inpe.br/sbsr/2002/11.22.20.34..
   Google Scholar
• Walko, R, Band, L, Baron, J, Kittel, F, Lammers, R, Lee, T, Ojima, D, Pielke, R, Taylor, C, Tague, C, Tremback, C, and Vidale, P, 2000. Coupled atmosphere-biophysics-hydrology models for environmental modeling, J. Appl. Meteorol. 39 (2000), pp. 931–944.
   Google Scholar
• R.L. Walko and C.J. Tremback, Modifications for the transition from LEAF-2 to LEAF-3, ATMET Technical Note, ATMET, Boulder, CO.
   Google Scholar
• Walko, RL, Cotton, WR, Meyers, MP, and Harrington, JY, 1995. New RAMS cloud microphysics parameterization. Part I: the single-moment scheme, Atmos. Res. 38 (1995), pp. 29–42.
   Web of Science ®Google Scholar
• Meyers, MP, Walko, RL, Harrington, JY, and Cotton, WR, 1997. New RAMS cloud microphysics parameterization. Part II: The two-moment scheme, Atmos. Res. 45 (1997), pp. 3–39.
   Web of Science ®Google Scholar
• S. Freitas, G. Grell, R. Gevaerd, and K. Longo. Simulating typical rainfall systems on South America using an ensemble version of convective parameterization, 3rd Pan-GCSS meeting on “Clouds, Climate and Models”, Athens, Greece, 2005.
   Google Scholar
• A.C. Vasques, Características de precipitação sobre a América do Sul proveniente de diferentes fontes de dados com ênfase no Brasil, M.Sc. thesis (Meteorology), INPE, São José dos Campos, 2007 (in Portuguese).
   Google Scholar
• C.M. Santos e Silva, Simulando o ciclo diário da precipitação sobre a Bacia Amazonica durante a estação chuvosa, D.Sc. thesis (Meteorology), INPE, São José dos Campos (Brazil), 2009 (in Portuguese).
   Google Scholar
• S. Arya, D.M. Mount, N.S. Netanyahu, R. Silverman, and A.Y. Wu, An optimal algorithm for approximate nearest neighbor searching in fixed dimensions, J. ACM 45(6) (1998), pp. 891–923. Available at http://www.cs.umd.edu/~mount/Papers/dist.pdf.
   Google Scholar
• Yang, X-S., 2010. Firefly algorithm, stochastic test functions and design optimisation, Int. J. of Bio-Insp. Comp. 2 (2010), pp. 78–84.
   Web of Science ®Google Scholar
• E.F.P. Luz, J.C. Becceneri, and H.F.C Velho, Recuperação da Condição Inicial da Equação do Calor com o Uso da Metaheurística Firefly Algorithm. In: Congresso Nacionalde Matemática Aplicada e Computacional, 33 (CNMC), 2010, Águas de Lindóia, 20–23 September 2010. DVD.
   Google Scholar
• A.F. Santos, S.R, Freitas, E.F.P. Luz, H.F. De Campos Velho, and M.A. Gan, Optimization firefly method for weighted ensemble of convective parameterizations. Part II: Sensitivity experiment using TRMM satellite data, AGU-2010 Meeting of the Americas, Foz do Iguaçu, 2010.
   Google Scholar
• A.F. Santos, S.R. Freitas, E.F.P. Luz, H.F. De Campos Velho, and M.A. Gan, Optimization firefly method for weighted ensemble of convective parameterizations. Part I: Results with a synthetic precipitation field, AGU-2010 Meeting of the Americas, Foz do Iguaçu, 2010.
   Google Scholar
• Climanálise, Boletim de Monitoramente e Análise Climática, 20(2), February 2004.
   Google Scholar