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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 1
Geosci. Model Dev., 10, 189–222, 2017
https://doi.org/10.5194/gmd-10-189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Coupled chemistry–meteorology modelling: status and...

Geosci. Model Dev., 10, 189–222, 2017
https://doi.org/10.5194/gmd-10-189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 13 Jan 2017

Model description paper | 13 Jan 2017

The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): an integrated environmental model tuned for tropical areas

Saulo R. Freitas et al.
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Cited articles  
Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation 2. Multiple aerosol types, J. Geophys. Res., 105, 6837–6844, https://doi.org/10.1029/1999JD901161, 2000.
Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation 3. Sectional representation, J. Geophys. Res., 107, 4026, https://doi.org/10.1029/2001JD000483, 2002.
Albini, F. A.: PROGRAM BURNUP: A simulation model of the burning of large woody natural fuels, final Report on Research Grant INT-92754-GR by U.S.F.S. to Montana State Univ., Mechanical Engineering Dept., 1994.
Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Albrecht, B. A., Ramanathan, V., and Boville, B. A.: The effects of cumulus moisture transports on the simulation of climate with a general circulation model, J. Atmos. Sci., 43, 2443–2462, 1986.
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We present a new version of the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS) where different previous versions for weather, chemistry, and the carbon cycle were unified in a single harmonized software system. This version also has a new set of state-of-the-art physical parametrizations and higher computational parallel and memory usage efficiency. BRAMS has been applied for research and operational weather and air quality forecasting, largely in South America.
We present a new version of the Brazilian developments on the Regional Atmospheric Modeling...
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