Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-10-189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
now at: Universities Space
Research Association/Goddard Earth Sciences Technology and Research at the
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Jairo Panetta
Divisão de Ciência da Computação, Instituto
Tecnológico de Aeronáutica, São José dos Campos, SP, Brazil
Karla M. Longo
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
now at: Universities Space
Research Association/Goddard Earth Sciences Technology and Research at the
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Luiz F. Rodrigues
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Demerval S. Moreira
Universidade Estadual Paulista (Unesp), Faculdade de Ciências,
Bauru, SP, Brazil
Centro de Meteorologia de Bauru (IPMet), Bauru,
SP, Brazil
Nilton E. Rosário
Departamento de Ciências Ambientais, Universidade
Federal de São Paulo, Diadema, SP, Brazil
Pedro L. Silva Dias
Instituto de
Astronomia, Geofísica e Ciências Atmosféricas, Universidade de
São Paulo, São Paulo, SP, Brazil
Maria A. F. Silva Dias
Instituto de
Astronomia, Geofísica e Ciências Atmosféricas, Universidade de
São Paulo, São Paulo, SP, Brazil
Enio P. Souza
Departamento de
Ciências Atmosféricas, Universidade Federal de Campina Grande,
Campina Grande, PB, Brazil
Edmilson D. Freitas
Instituto de
Astronomia, Geofísica e Ciências Atmosféricas, Universidade de
São Paulo, São Paulo, SP, Brazil
Marcos Longo
Embrapa Informática
Agropecuária, Campinas, SP, Brazil
Ariane Frassoni
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Alvaro L. Fazenda
Instituto de Ciência e
Tecnologia, Universidade Federal de São Paulo, São José dos
Campos, SP, Brazil
Cláudio M. Santos e Silva
Departamento de Ciências Atmosféricas
e Climáticas/Programa de Pós graduação em ciências
Climáticas, Universidade Federal do Rio Grande do Norte,
Natal, RN, Brazil
Cláudio A. B. Pavani
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Denis Eiras
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Daniela A. França
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Daniel Massaru
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Fernanda B. Silva
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Fernando C. Santos
Centro de Ciências do Sistema Terrestre,
Instituto Nacional de Pesquisas Espaciais, São Jose dos Campos, SP,
Brazil
Gabriel Pereira
Departamento de Geociências, Universidade Federal de
São João del-Rei, MG, Brazil
Gláuber Camponogara
Instituto de
Astronomia, Geofísica e Ciências Atmosféricas, Universidade de
São Paulo, São Paulo, SP, Brazil
Gonzalo A. Ferrada
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Haroldo F. Campos Velho
Laboratório Associado de
Computação e Matemática Aplicada, Instituto Nacional de Pesquisas
Espaciais, São José dos Campos, SP, Brazil
Isilda Menezes
Instituto de Ciências Agrárias e Ambientais
Mediterrânicas, Universidade de Évora, Évora, Portugal
Centro Interdisciplinar de Desenvolvimento em Ambiente, Gestão
Aplicada e Espaço, Universidade Lusófona de
Humanidades e Tecnologia, Campo Grande, Lisbon, Portugal
Julliana L. Freire
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Marcelo F. Alonso
Faculdade de Meteorologia, Universidade Federal de Pelotas,
Pelotas, RS, Brazil
Madeleine S. Gácita
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Maurício Zarzur
Laboratório Associado de
Computação e Matemática Aplicada, Instituto Nacional de Pesquisas
Espaciais, São José dos Campos, SP, Brazil
Rafael M. Fonseca
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Rafael S. Lima
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Ricardo A. Siqueira
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Rodrigo Braz
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Simone Tomita
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Valter Oliveira
Centro de Previsão de Tempo e Estudos Climáticos, Instituto
Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil
Leila D. Martins
Universidade Tecnológica Federal do
Paraná, Londrina, PR, Brazil
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Cited
44 citations as recorded by crossref.
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- Aplicação dos Modelos de Interação Atmosférica e de Incêndio Florestal BRAMS-SFIRE no sul de Portugal I. Menezes et al. 10.1590/0102-77863630101
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- A coupled modeling study of mechanical and thermodynamical air-ocean interface processes under sea storm conditions C. Stathopoulos et al. 10.1016/j.dynatmoce.2020.101140
- A Successful Practical Experience with Dedicated Geostationary Operational Environmental Satellites GOES-10 and -12 Supporting Brazil S. Costa et al. 10.1175/BAMS-D-16-0029.1
- Topography-based local spherical Voronoi grid refinement on classical and moist shallow-water finite-volume models L. Santos & P. Peixoto 10.5194/gmd-14-6919-2021
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43 citations as recorded by crossref.
- Estudo da Dispersão do Monóxido de Carbono Associado a Emissão Veicular na Região Metropolitana de Porto Alegre com o Sistema de Modelagem Numérica CCATT - BRAMS K. Silva et al. 10.1590/0102-77863540082
- Aplicação dos Modelos de Interação Atmosférica e de Incêndio Florestal BRAMS-SFIRE no sul de Portugal I. Menezes et al. 10.1590/0102-77863630101
- Ozone transport and thermodynamics during the passage of squall line in Central Amazon A. Melo et al. 10.1016/j.atmosenv.2019.02.018
- Improvement of chemical initialization in the air quality forecast system in North Macedonia, based on WRF-Chem model V. Spiridonov et al. 10.1007/s11869-020-00933-4
- Bulk cloud microphysical properties as seen from numerical simulation and remote sensing products: case study of a hailstorm event over the La Plata Basin A. Vara-Vela et al. 10.1071/ES23006
- Numerical Study of Meteorological Factors for Tropospheric Nocturnal Ozone Increase in the Metropolitan Area of São Paulo V. Urbina Guerrero et al. 10.3390/atmos12020287
- The Impacts of Changes in Land Use/Land Cover and Increases in Greenhouse Gases on the Surface Energy Balance During the Rainy Season in the Metropolitan Region of Manaus Y. Santos et al. 10.1590/0102-77863910055
- Atmospheric Convection J. Lin et al. 10.1080/07055900.2022.2082915
- Improving PM10 and PM2.5 concentration prediction using the Brazilian Regional Atmospheric Modeling 5.2 System in Lima, Peru O. Sánchez-Ccoyllo & M. Alonso 10.1016/j.uclim.2024.101985
- Implementation of Observed Sky-View Factor in a Mesoscale Model for Sensitivity Studies of the Urban Meteorology M. Morais et al. 10.3390/su10072183
- Trends, topics, and lessons learnt from real case studies using mesoscale atmospheric models for urban climate applications in 2000–2019 Y. Kwok & E. Ng 10.1016/j.uclim.2021.100785
- A coupled modeling study of mechanical and thermodynamical air-ocean interface processes under sea storm conditions C. Stathopoulos et al. 10.1016/j.dynatmoce.2020.101140
- A Successful Practical Experience with Dedicated Geostationary Operational Environmental Satellites GOES-10 and -12 Supporting Brazil S. Costa et al. 10.1175/BAMS-D-16-0029.1
- Topography-based local spherical Voronoi grid refinement on classical and moist shallow-water finite-volume models L. Santos & P. Peixoto 10.5194/gmd-14-6919-2021
- Overview: Precipitation characteristics and sensitivities to environmental conditions during GoAmazon2014/5 and ACRIDICON-CHUVA L. Machado et al. 10.5194/acp-18-6461-2018
- Turbulence-permitting air pollution simulation for the Stuttgart metropolitan area T. Schwitalla et al. 10.5194/acp-21-4575-2021
- Air quality in the megacity of São Paulo: Evolution over the last 30 years and future perspectives M. Andrade et al. 10.1016/j.atmosenv.2017.03.051
- Shallow Cumulus Representation and Its Interaction with Radiation and Surface at the Convection Gray Zone X. Pedruzo-Bagazgoitia et al. 10.1175/MWR-D-19-0030.1
- Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
- Sensitivity of Radiative and Thermal Properties of Building Material in the Urban Atmosphere M. Morais et al. 10.3390/su11236865
- BRAMS model performance for significant event involving Brazilian platform ship K. Rodrigues et al. 10.1007/s11069-021-05037-5
- Assessing the contribution of dynamical downscaling to austral autumn Northeast Brazil seasonal precipitation prediction performance J. Freire et al. 10.1016/j.cliser.2022.100321
- Modeling the radiative effects of biomass burning aerosols on carbon fluxes in the Amazon region D. Moreira et al. 10.5194/acp-17-14785-2017
- A Meteorological–Statistic Model for Short-Term Wind Power Forecasting J. Lima et al. 10.1007/s40313-017-0329-8
- Passive sampling as a feasible tool for mapping and model evaluation of the spatial distribution of nitrogen oxides in the city of Curitiba, Brazil E. Felix et al. 10.1007/s11869-019-00701-z
- Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades G. Mataveli et al. 10.3390/f12091217
- The friagem event in the central Amazon and its influence on micrometeorological variables and atmospheric chemistry G. Camarinha-Neto et al. 10.5194/acp-21-339-2021
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. 10.5194/gmd-12-4309-2019
- Fine particles as a public health indicator in Brazil: from monitoring to modeling W. Andreão & T. de Almeida Albuquerque 10.1007/s11869-020-00899-3
- Evapotranspiration Seasonality over Tropical Ecosystems in Mato Grosso, Brazil M. Biudes et al. 10.3390/rs14102482
- An integrated assessment of the impacts of PM2.5 and black carbon particles on the air quality of a large Brazilian city L. Gidhagen et al. 10.1007/s11869-021-01033-7
- Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. 10.1016/j.atmosenv.2022.118954
- Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0) G. Ferrada et al. 10.5194/gmd-15-8085-2022
- Development of air quality forecasting system in Macedonia, based on WRF-Chem model V. Spiridonov et al. 10.1007/s11869-019-00698-5
- Simulation of an orographic gravity wave above the Amazon rainforest and its influence on gases transport near the surface E. Moraes et al. 10.1016/j.atmosres.2022.106349
- Characterization and Trends of Fine Particulate Matter (PM2.5) Fire Emissions in the Brazilian Cerrado during 2002–2017 G. Mataveli et al. 10.3390/rs11192254
- Biomass burning CCN enhance the dynamics of a mesoscale convective system over the La Plata Basin: a numerical approach G. Camponogara et al. 10.5194/acp-18-2081-2018
- Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter W. Andreão et al. 10.1007/s11356-020-08476-y
- Atmospheric dynamics and fire-induced phenomena: Insights from a comprehensive analysis of the Sertã wildfire event I. Menezes et al. 10.1016/j.atmosres.2024.107649
- Insights from the first Brazilian Symposium on Human Biometeorology E. Krüger et al. 10.5327/Z2176-94781643
- Assessing the Grell‐Freitas Convection Parameterization in the NASA GEOS Modeling System S. Freitas et al. 10.1029/2017MS001251
- Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador 10.5194/gmd-15-3447-2022
- First Lidar Campaign in the Industrial Sites of Volta Redonda-RJ and Lorena-SP, Brazil F. Lopes et al. 10.3390/rs14071675
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
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...
Special issue