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PAPERS

Published papers, sorted by year.

  1. Carrasco, A. R, Sapucci, L.F, Mattos, J.G.Z, Lorenzo, M.S, & Montejo, I.B. Explorando as Particularidades do Método Orientado a Objetos na Avaliação das Previsões de Precipitação. Revista Brasileira de Meteorologia, v. 35(2), pp. 317-333. Epub July 06, 2020. https://dx.doi.org/10.1590/0102-7786352003, 2020.

  2. Neto, G. F. C., Chohen, J.C. P. , Dias-Júnior, C.Q. Friagem Event in Central Amazon and its Influence on Micrometeorological Variables and Atmospheric Chemistry. Atmosphere Chemistry and Physics, 2020.

  3. Rodrigues, L. F., Lima, S. T., Ruiz, R., Panetta, J., Freitas, S.R., Velho, H. F. de C. Large Parallel version for the BRAMS with Runge-Kutta dynamical core. Conference of Computational Interdisciplinary Science, 2019.

  4. Melo. Adayana M.Q. et. al., Ozone transport and thermodynamics during the passage of squall line in Central Amazon, Atmospheric Environment, v. 206, pp. 132-143, 2019

  5. Souto, R. P., Welter, M. E. S., Melo, M. S., Osthoff C., Borseti, J. P. New computational developments on chemistry module of BRAMS numerical weather prediction. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics, 2018.

  6. Abhinna K. Behera Emmanuel D. Rivière Virginie Marécal Jean‐François Rysman Claud Chantal Geneviève Sèze Nadir Amarouche Mélanie Ghysels Sergey M. Khaykin Jean‐Pierre Pommereau Gerhard Held Jérémie Burgalat Georges Durry. Modeling the TTL at Continental Scale for a Wet Season: An Evaluation of the BRAMS Mesoscale Model Using TRO‐Pico Campaign, and Measurements From Airborne and Spaceborne Sensors. Journal of Geophysical Research, 2018.

  7. Moreira, D. S., Longo, K. M., Freitas, S. R., Yamasoe, M. A., Mercado, L. M., Rosário, N. E., Gloor, E., Viana, R. S. M., Miller, J. B., Gatti, L. V., Wiedemann, K. T., Domingues, L. K. G., and Correia, C. C. S.: Modeling the radiative effects of biomass burning aerosols on carbon fluxes in the Amazon region, Atmos. Chem. Phys., 17, 14785-14810, https://doi.org/10.5194/acp-17-14785-2017, 2017.

  8. Chovert, A. D. ; Alonso, M. F. . Estimated evolution of total pollutant gas emissions associated with vehicle activity in the Metropolitan Region of Porto Alegre until 2030. ANAIS DA ACADEMIA BRASILEIRA DE CIÊNCIAS, v. 00, p. 00, 2017.

  9. Menezes, I., Pereira, M. G., Freitas, S., Moreira, D., Carvalheiro, L., Oliveira, V., Bugalho, L., Corte-Real, J. (2017). Avaliação do Desempenho do BRAMS para a Simulação da Temperatura em Portugal. In:10º Simpósio de Meteorologia e Geofísica da APMG 18º Encontro Luso-Espanhol de Meteorologia. Riscos associados a Fenómenos Meteorológicos e Geofísicos, 2017.

  10. Menezes, I., Pereira, M. G., Freitas, S., Moreira, D., Carvalheiro, L., Oliveira, V., Bugalho, L., Corte-Real, J. Avaliação do BRAMS para o Downscaling da Precipitação em Portugal. In: 10º Simpósio de Meteorologia e Geofísica da APMG 18º Encontro Luso-Espanhol de Meteorologia. Riscos associados a Fenómenos Meteorológicos e Geofísicos, 2017.

  11. Lima, João Marcos, Guetter, Alexandre K., Freitas, Saulo R., Panetta, Jairo, Mattos, João G. Z. de Mattos: A Meteorological–Statistic Model for Short-Term Wind PowerForecasting. Journal of Control, Automation and Electrical Systems. Springer, 2017.

  12. Freitas, S. R., Panetta, J., Longo, K. M., Rodrigues, L. F., Moreira, D. S., Rosário, N. E., Silva Dias, P. L., Silva Dias, M. A. F., Souza, E. P., Freitas, E. D., Longo, M., Frassoni, A., Fazenda, A. L., Santos e Silva, C. M., Pavani, C. A. B., Eiras, D., França, D. A., Massaru, D., Silva, F. B., Santos, F. C., Pereira, G., Camponogara, G., Ferrada, G. A., Campos Velho, H. F., Menezes, I., Freire, J. L., Alonso, M. F., Gácita, M. S., Zarzur, M., Fonseca, R. M., Lima, R. S., Siqueira, R. A., Braz, R., Tomita, S., Oliveira, V., and Martins, L. D.: The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas, Geosci. Model Dev., 10, 189-222, doi:10.5194/gmd-10-189-2017, 2017.

  13. Morais, M. V. B.; Freitas, E. D.; Guerrero, V. V. U.; Martins, L. D. A modeling analysis of urban canopy parameterization representing the vegetation effects in the megacity of São Paulo. ScienceDirect Journal, 2016.

  14. Pavani, C.; Freitas, S. R.; Costa, S. M. S.; Rosario, N. Incluindo funcionalidades no modelo BRAMS para simular o transporte de cinzas vulcânicas: descrição e análise de sensibilidade aplicada ao evento eruptivo do Puyehue em 2011. Revista Brasileira de Meteorologia (in press) 2016.

  15. Oliveira, A. M. ; Mariano, G. L. ; Alonso, M. F. ; Mariano, E. V. C. . Analysis of incoming biomass burning aerosol plumes over Southern Brazil. Atmospheric Science Letters, v. 1, p. on-line, 2016.

  16. Scovronick, Noah ; França, Daniela ; Alonso, Marcelo ; Almeida, Claudia ; Longo, Karla ; Freitas, Saulo ; Rudorff, Bernardo ; Wilkinson, Paul . Air Quality and Health Impacts of Future Ethanol Production and Use in São Paulo State, Brazil. International Journal of Environmental Research and Public Health, v. 13, p. 695, 2016.

  17. SCOVRONICK, NOAH ; FRANÇA, DANIELA ; ALONSO, MARCELO ; ALMEIDA, CLAUDIA ; LONGO, KARLA ; FREITAS, SAULO ; RUDORFF, BERNARDO ; WILKINSON, PAUL . Air Quality and Health Impacts of Future Ethanol Production and Use in São Paulo State, Brazil. International Journal of Environmental Research and Public Health, v. 13, p. 695, 2016.

  18. Pereira, G.; Siqueira, R.; Rosário, N.; Longo, K..; Freitas, S. R.; Cardozo, Francielle S. ; KAISER, JOHANNES W. ; WOOSTER, MARTIN J. . Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment. Atmospheric Chemistry and Physics (Online), v. 16, p. 6961-6975, 2016.

  19. Bela, M. M., Longo, K. M., Freitas, S. R., et al.: Ozone production and transport over the Amazon Basin during the dry-to-wet and wet-to-dry transition seasons, Atmos. Chem. Phys., 15, 757, 2015.

  20. Freire, J. L. M.; Freitas, S. R.; Coelho, C. A. S. Calibração do modelo regional BRAMS para a previsão de eventos climáticos extremos. Revista Brasileira de Meteorologia, 30, 158-170, 2015.

  21. Negri, R., Machado, Luiz A. T., Freitas, Saulo R. Análise da convecção resolvida explicitamente pelo modelo brams a partir da comparação com radiâncias de satélites. Revista Brasileira de Meteorologia. , v.30, p.327 – 339, 2015.

  22. Silva, C. M. S., Freitas, S. R. Impacto de um mecanismo de disparo da convecção na precipitação simulada com o modelo regional BRAMS sobre a bacia amazônica durante a estação chuvosa de 1999. Revista Brasileira de Meteorologia. , v.30, p.145 – 157, 2015.

  23. Luz, E. F.P., Santos, A., Freitas, S. R., Velho, H. C., Grell, G. Optimization by Firefly with Predation for Ensemble Precipitation Estimation Using BRAMS. American Journal of Environmental Engineering. , v.5, p.27 – , 2015.

  24. Ulke A.G., Gattinoni N.N. and Posse G.: “Analysis and modelling of turbulent fluxes in two different ecosystems in Argentina”, International Journal of Environment and Pollution (IJEP), en prensa, 10 pp, pISSN: 0957-4352, eISSN: 1741-5101, Inderscience Enterprises Ltd.-UNESCO, Milton Keynes (United Kingdom), http://www.inderscience.com/, 2015.

  25. França, D., et al.: Pre-harvest sugarcane burning emission inventories based on remote sensing data in the state of São Paulo, Brazil. Atmospheric Environment, DOI: 10.1016/j.atmosenv.2014.10.010, 2014.

  26. Grell, G. A., and S.R. Freitas: A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling. Atmos. Chem. Phys., 14, 5233, 2014.

  27. dos Santos, A. F., Freitas, S. R., de Mattos, J. G. Z., et al.: Using the Firefly optimization method to weight an ensemble of rainfall forecasts from the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS). Adv. Geosci., 35, 123, 2013.

  28. Moreira, D., Freitas, S. R., Bonatti, J. P., et al.: Coupling between the JULES land-surface scheme and the CCATT-BRAMS atmospheric chemistry model: applications to numerical weather forecasting and the CO2 budget in South America. Geos. Model Devel., 6, 1243, 2013.

  29. Rodrigues, E. R. ; Navaux, P. O.A.; Panetta, J.; Mendes, C. L. . Preserving the original MPI semantics in a virtualized processor environment. Science of Computer Programming (Print), v. 78, p. 412-421, 2013.

  30. Longo, K. M., Freitas, S. R., Pirre, M., et al.: The chemistry CATT-BRAMS model (CCATT-BRAMS 4.5): a regional atmospheric model system for integrated air quality and weather forecasting and research. Geos. Model Devel., 6, 1389, 2013.

  31. Rosário, N. E., Longo, K. M., Freitas, S. R., et al.: Modeling South America regional smoke plume: aerosol optical depth variability and shortwave surface forcing. Atmos. Chem. Phys. 13, 2923, 2013.

  32. Souza, L. P. ; Alonso, M. F. ; Carvalho, J. C. ; Cuchiara, G. C. . Estudo do impacto das emissões de poluentes na Região Metropolitana de Porto Alegre – RS. Ciência e Natura, v. Dezembro, p. 308-310, 2013.

  33. Freitas, S. R., L. F. Rodrigues, K. M. Longo, J. Panetta: Impact of a monotonic advection scheme with low numerical diffusion on transport modeling of emissions from biomass burning. Journal of Advances in Modeling Earth Systems, 4, M01001, 2012.

  34. Silva, C. M. S., Freitas, S. R., Gielow, R. Numerical simulation of the diurnal cycle of rainfall in SW Amazon basin during the 1999 rainy season: the role of convective trigger function. Theoretical and Applied Climatology. , 109, 473 – 483, 2012.

  35. Marécal, V., Pirre, M., Krysztofiak, G., Hamer, P. D., and Josse, B.: What do we learn about bromoform transport and chemistry in deep convection from fine scale modelling, Atmos. Chem. Phys., 12, 6073-6093, doi:10.5194/acp-12-6073-2012.

  36. Freitas, S. R., Longo, K. M., Alonso, M. F. et al.: PREP-CHEM-SRC 1.0: a preprocessor of trace gas and aerosol emission fields for regional and global atmospheric chemistry models. Geosci. Model Devel., 4, 419, 2011.

  37. Fazenda, A. L. ; Panetta, J. ; Katsurayama, D. M. ; Rodrigues, L. F. ; Motta, L. F.G. ; Navaux, P. O. A. Challenges and solutions to improve the scalability of an operational regional meteorological forecasting model. International Journal of High Performance Systems Architecture, 3, 87, 2011.

  38. Freitas, S. R., Longo, K., Trentmann, J., Latham, D.: Technical Note: Sensitivity of 1D smoke plume rise models to the inclusion of environmental wind drag. Atmos. Chem. Phys., 10, 585, 2010.

  39. Marécal, V., Pirre, M., Rivière, E. D., Pouvesle, N., Crowley, J. N., Freitas, S. R., Longo, K. M. Modelling the reversible uptake of chemical species in the gas phase by ice particles formed in a convective cloud. Atmospheric Chemistry and Physics, 10, 4977, 2010.

  40. Longo, K. M., Freitas, S. R., Andreae, M. O., et al.: The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) Part 2: Model sensitivity to the biomass burning inventories. Atmos. Chem. Phys., 10, 5785, 2010.

  41. Alonso, M. F., Longo, K. M., Freitas, S. R., et al.: An urban emissions inventory for South America and its application in numerical modeling of atmospheric chemical composition at local and regional scales. Atmospheric Environment, 44, 5072, 2010.

  42. Marécal, V., Pirre, M., Rivière, E. D., Pouvesle, N., Crowley, J. N., Freitas, S. R., and Longo, K. M.: Modelling the reversible uptake of chemical species in the gas phase by ice particles formed in a convective cloud, Atmos. Chem. Phys., 10, 4977-5000, doi:10.5194/acp-10-4977-2010, 2010.

  43. Pereira, G., Freitas, S. R., Moraes, E. C. et al.: Estimating trace gas and aerosol emissions over South America: Relationship between fire radiative energy released and aerosol optical depth observations. Atmospheric Environment, 43, 6388, 2009.

  44. Martins JA, Silva Dias MAF, Gonçalves FLT (2009) Impact of biomass burning aerosols on precipitation in the Amazon: A modeling case study. J Geophys Res 114:D02207, doi:10.1029/2007JD00958.

  45. Martins JA, Silva Dias MAF (2009) The impact of smoke from forest fires on the spectral dispersion of cloud droplet size distributions in the Amazonian region. Environ Res Lett 4:015002, doi: 10.1088/1748-9326/4/1/01500.

  46. Landulfo, E., Freitas, S. R., Longo, K. M., Uehara, S. T., Sawamura, P. A comparison study of regional atmospheric simulations with an elastic backscattering Lidar and sunphotometry in an urban area. Atmospheric Chemistry and Physics, 9, 6767, 2009.

  47. Freitas, S. R., Longo, K., Rodrigues, L. F. Modelagem numérica da composição química da atmosfera e seus impactos no tempo, clima e qualidade do ar. Revista Brasileira de Meteorologia, 24, 188-207, 2009.

  48. Freitas, S. R., Longo, K. M., Silva Dias, M. A. F., et al.: 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, 2843, 2009.

  49. Norte F. A., Ulke A.G., Simonelli S. C., Viale M.: “The severe zonda wind event of 11 July 2006 east of the Andes Cordillera (Argentine): A case study using the BRAMS model”, Meteorology and Atmospheric Physics, 102, 1-2, 1-14, ISSN: 0177-7971(P), 1436-5065 (E), DOI: 10.1007/s00703-008-0011-6; link.springer.com/, Springer, Vienna, (Austria), 2008.

  50. Freitas, S. R., K. M. Longo, R. Chatfield, et al.: Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models. Atmos. Chem. Phys., 7, 3385 2007.

  51. Barbosa, J. P. S., Velho, H. F. C., Freitas, S. R. Implementação de Novas Parametrizações de Turbulência no BRAMS. Ciência e Natura. , 111, 301, 2007.

  52. Marécal V., G. Durry, K. Longo, S. Freitas, E. Rivière and M. Pirre, Mesoscale modelling of water vapour in the tropical UTLS: two case studies from the HIBISCUS campaign, Atmos. Chem. Phys., 7, 7, 1471-1489, 2007.

  53. Ulke A. G., Longo K. M., Freitas S. R. and Hierro R.F.: “Regional pollution due to biomass burning in South America”, Ciência e Natura, Edición Especial, 201-204, eISSN: 2179-460X, ISSN: 0100-8307, http://cascavel.ufsm.br/, Ed.: Degrazia, G.A., Acevedo, O.C., Moraes, O. L. L. de, Roberti, D.R., Revista del Centro de Ciências Naturais e Exatas, Universidade Federal de Santa María, Santa María (Brasil), 2007.

  54. Freitas, E. D.; Rozoff, C. M.; Cotton, W. R. et al: Interactions of an urban heat island and sea breeze circulations during winter over the Metropolitan Area of São Paulo – Brazil. Boundary – Layer Meteorology, v. 122(1), p. 43-65, 2007.

  55. Gassmann M.I., Ulke A. G. and Mayol M.L.: “Sensitivity on the characterization of dispersion processes on the air pollution in Buenos Aires city due to a nearby industrial complex”, Ciência e Natura, Edición Especial, 341-344, eISSN: 2179-460X, ISSN: 0100-8307, http://cascavel.ufsm.br/, Ed.: Degrazia, G.A., Acevedo, O.C., Moraes, O. L. L. de, Roberti, D.R., Revista del Centro de Ciências Naturais e Exatas, Universidade Federal de Santa María, Santa María (Brasil), 2007.

  56. Fazenda A. L., Enari E. H., Rodrigues L. F., Panetta J., Towards Production Code Effective Portability among Vector Machines and Microprocessor-Based Architectures, In Proceedings of the 18th Symposium on Computer Architecture and High Performance Computing, SBC, 2006.

  57. Marécal V., E. Rivière, G. Held, S. Cautenet and S. Freitas, Modelling study of the impact of deep convection on the UTLS air composition. Part I: analysis of ozone precursors. Atmos. Chem. Phys., 6, 1567-1584, 2006.

  58. Freitas, S. R., K. M. Longo, M. Andreae. Impact of including the plume rise of vegetation fires in numerical simulations of associated atmospheric pollutants. Geophys. Res. Lett., 33, 2006.

  59. Gevaerd, R., Freitas, S. R.. Estimativa operacional da umidade do solo para iniciação de modelos de previsão numérica da atmosfera. Parte I: Descrição da metodologia e validação. Revista Brasileira de Meteorologia, 2006.

  60. Gevaerd, R., Freitas, S. R., Longo, M., Moreira, D., Dias, M. A. S., Dias, P. L. S.. 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. Revista Brasileira de Meteorologia, 2006.

  61. Freitas, S. R., K. M. Longo, M. Silva Dias, et al.: Monitoring the transport of biomass burning emissions in South America. Environmental Fluid Mechanics, 5, 135, 2005.

  62. Lu, L., A. S. Denning, M. A. da Silva-Dias, P. da Silva-Dias, M. Longo, S. R. Freitas, and S. Saatchi, Mesoscale circulations and atmospheric CO2 variations in the Tapajós Region, Pará, Brazil, J. Geophys. Res., 110, D21102, 2005.

  63. Freitas, E. D. ; Martins, L. D. ; Silva Dias, P. L. ; Aandrade, M. F. . A simple photochemical module implemented in RAMS for tropospheric ozone concentration forecast in the Metropolitan Area of São Paulo – Brazil: Coupling and validation.. Atmospheric Environment, 39, 6352, 2005.

  64. Nicolini M., P. Salio, G. Ulke, J. Marengo, M. Douglas, J. Paegle and E. Zipser: “South American low-level jet diurnal cycle and three-dimensional structure”, CLIVAR Exchanges, Newsletter of the Climate Variability and Predictability Programme, Special Issue Featuring SALLJEX), Nº 29, Vol. 9, Nº 1, 6-8 y 16, ISSN: 1026-0471, http://www.clivar.org/publications/exchanges, Ed. Cattle, H., International CLIVAR Project Office, Southampton (United Kingdom), 2004.

  65. Nicolini M., García Skabar Y., Ulke A.G. and Saulo A.C.: “RAMS model performance in simulating precipitation during strong poleward low level jet events over northeastern Argentina”, METEOROLOGICA – Special Issue on Variability of the South American Monsoon System, Vol. 27 N° 1 y 2, 89-98, ISSN: 0325-187X, Centro Argentino de Meteorólogos, 2002.

  66. Freitas, S. R., Dias, M. A. F. Silva, Dias, P. L. Silva, Longo, K. M., et al. A convective kinematic trajectory technique for low-resolution atmospheric models. Journal of Geophysical Research. , 105, p.24375 – 24386, 2000.

  67. Freitas, S. R., DIAS, Maria Assunção Silva, DIAS, Pedro L Silva. Modeling the convective transport of trace gases by deep and moist convection. Hybrid Methods in Engineering. , v.2, p.317, 2000.

  68. Souza, E. P. ; Rennó, N. O. ; Dias, M. A. F. S.. Convective circulations induced by surface heterogeneities. Journal of the Atmospheric Sciences, v. 57, n.17, p. 2915-2922, 2000.

  69. Longo, Karla M., Thompson, Anne M., Kirchhoff, Volker W. J. H., Remer, et al.,Correlation between smoke and tropospheric ozone concentration in Cuiabá during Smoke, Clouds, and Radiation-Brazil (SCAR-B). Journal of Geophysical Research. , v.104, p.12113 – 12129, 1999.

  70. Mendes, Celso L.; Panetta, J. Selecting Directions for Parallel RAMS Performance Optimization. In Proceedings of the 11th Symposium on Computer Architecture and High Performance Computing, SBC, p. 85 – 92, 1999.

  71. Freitas, S. R., Longo, K. M., Dias, M. A., Artaxo, P. Numerical modeling of air mass trajectories from biomass burning areas of the Amazon basin. Anais da Academia Brasileira de Ciências. , v.68, p.193 – 296, 1996.