The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5194/gmd-10-189-2017 http://hdl.handle.net/11449/176973 |
Resumo: | We present a new version of the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS), in which different previous versions for weather, chemistry, and carbon cycle were unified in a single integrated modeling system software. This new version also has a new set of state-of-the-art physical parameterizations and greater computational parallel and memory usage efficiency. The description of the main model features includes several examples illustrating the quality of the transport scheme for scalars, radiative fluxes on surface, and model simulation of rainfall systems over South America at different spatial resolutions using a scale aware convective parameterization. Additionally, the simulation of the diurnal cycle of the convection and carbon dioxide concentration over the Amazon Basin, as well as carbon dioxide fluxes from biogenic processes over a large portion of South America, are shown. Atmospheric chemistry examples show the model performance in simulating near-surface carbon monoxide and ozone in the Amazon Basin and the megacity of Rio de Janeiro. For tracer transport and dispersion, the model capabilities to simulate the volcanic ash 3-D redistribution associated with the eruption of a Chilean volcano are demonstrated. The gain of computational efficiency is described in some detail. BRAMS has been applied for research and operational forecasting mainly in South America. Model results from the operational weather forecast of BRAMS on 5km grid spacing in the Center for Weather Forecasting and Climate Studies, INPE/Brazil, since 2013 are used to quantify the model skill of near-surface variables and rainfall. The scores show the reliability of BRAMS for the tropical and subtropical areas of South America. Requirements for keeping this modeling system competitive regarding both its functionalities and skills are discussed. Finally, we highlight the relevant contribution of this work to building a South American community of model developers. |
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The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areasWe present a new version of the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS), in which different previous versions for weather, chemistry, and carbon cycle were unified in a single integrated modeling system software. This new version also has a new set of state-of-the-art physical parameterizations and greater computational parallel and memory usage efficiency. The description of the main model features includes several examples illustrating the quality of the transport scheme for scalars, radiative fluxes on surface, and model simulation of rainfall systems over South America at different spatial resolutions using a scale aware convective parameterization. Additionally, the simulation of the diurnal cycle of the convection and carbon dioxide concentration over the Amazon Basin, as well as carbon dioxide fluxes from biogenic processes over a large portion of South America, are shown. Atmospheric chemistry examples show the model performance in simulating near-surface carbon monoxide and ozone in the Amazon Basin and the megacity of Rio de Janeiro. For tracer transport and dispersion, the model capabilities to simulate the volcanic ash 3-D redistribution associated with the eruption of a Chilean volcano are demonstrated. The gain of computational efficiency is described in some detail. BRAMS has been applied for research and operational forecasting mainly in South America. Model results from the operational weather forecast of BRAMS on 5km grid spacing in the Center for Weather Forecasting and Climate Studies, INPE/Brazil, since 2013 are used to quantify the model skill of near-surface variables and rainfall. The scores show the reliability of BRAMS for the tropical and subtropical areas of South America. Requirements for keeping this modeling system competitive regarding both its functionalities and skills are discussed. Finally, we highlight the relevant contribution of this work to building a South American community of model developers.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Centro de Previsão de Tempo e Estudos Climáticos Instituto Nacional de Pesquisas EspaciaisDivisão de Ciência da Computação Instituto Tecnológico de AeronáUticaUniversidade Estadual Paulista (Unesp) Faculdade de CiênciasCentro de Meteorologia de Bauru (IPMet)Departamento de Ciências Ambientais Universidade Federal de São PauloInstituto de Astronomia Geofísica e Ciências Atmosféricas Universidade de São PauloDepartamento de Ciências Atmosféricas Universidade Federal de Campina GrandeEmbrapa Informática AgropecuáriaInstituto de Ciência e Tecnologia Universidade Federal de São PauloDepartamento de Ciências Atmosféricas e Climáticas Programa de Pós Graduação em Ciências Climáticas Universidade Federal Do Rio Grande Do NorteCentro de Ciências Do Sistema Terrestre Instituto Nacional de Pesquisas EspaciaisDepartamento de Geociências Universidade Federal de São João Del-ReiLaboratório Associado de Computação e Matemática Aplicada Instituto Nacional de Pesquisas EspaciaisInstituto de Ciências Agrárias e Ambientais Mediterrânicas Universidade de ÉvoraCentro Interdisciplinar de Desenvolvimento em Ambiente Gestão Aplicada e Espaço Universidade Lusófona de Humanidades e Tecnologia Campo GrandeFaculdade de Meteorologia Universidade Federal de PelotasUniversidade Tecnológica Federal Do ParanáUniversities Space Research Association Goddard Earth Sciences Technology and Research at the Global Modeling and Assimilation Office NASA Goddard Space Flight CenterUniversidade Estadual Paulista (Unesp) Faculdade de CiênciasFAPESP: 2014/01563-1FAPESP: 2014/01564-8FAPESP: 2015/10206-0CNPq: 306340/2011-9Instituto Nacional de Pesquisas EspaciaisInstituto Tecnológico de AeronáUticaUniversidade Estadual Paulista (Unesp)Centro de Meteorologia de Bauru (IPMet)Universidade Federal de São Paulo (UNIFESP)Universidade de São Paulo (USP)Universidade Federal de Campina GrandeEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Federal Do Rio Grande Do NorteUniversidade Federal de São João Del-ReiUniversidade de ÉvoraCampo GrandeUniversidade Federal de PelotasUniversidade Tecnológica Federal Do ParanáNASA Goddard Space Flight CenterFreitas, Saulo R.Panetta, JairoLongo, Karla M.Rodrigues, Luiz F.Moreira, Demerval S. [UNESP]Rosário, Nilton E.Silva Dias, Pedro L.Silva Dias, Maria A.F.Souza, Enio P.Freitas, Edmilson D.Longo, MarcosFrassoni, ArianeFazenda, Alvaro L.Santos E Silva, Cláudio M.Pavani, Cláudio A.B.Eiras, DenisFrança, Daniela A.Massaru, DanielSilva, Fernanda B.Santos, Fernando C.Pereira, GabrielCamponogara, GláuberFerrada, Gonzalo A.Campos Velho, Haroldo F.Menezes, IsildaFreire, Julliana L.Alonso, Marcelo F.Gácita, Madeleine S.Zarzur, MaurícioFonseca, Rafael M.Lima, Rafael S.Siqueira, Ricardo A.Braz, RodrigoTomita, SimoneOliveira, ValterMartins, Leila D.2018-12-11T17:23:20Z2018-12-11T17:23:20Z2017-01-13info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article189-222application/pdfhttp://dx.doi.org/10.5194/gmd-10-189-2017Geoscientific Model Development, v. 10, n. 1, p. 189-222, 2017.1991-96031991-959Xhttp://hdl.handle.net/11449/17697310.5194/gmd-10-189-20172-s2.0-850093604492-s2.0-85009360449.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGeoscientific Model Developmentinfo:eu-repo/semantics/openAccess2024-01-18T06:29:36Zoai:repositorio.unesp.br:11449/176973Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:22:02.535916Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas |
title |
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas |
spellingShingle |
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas Freitas, Saulo R. |
title_short |
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas |
title_full |
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas |
title_fullStr |
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas |
title_full_unstemmed |
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas |
title_sort |
The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS 5.2): An integrated environmental model tuned for tropical areas |
author |
Freitas, Saulo R. |
author_facet |
Freitas, Saulo R. Panetta, Jairo Longo, Karla M. Rodrigues, Luiz F. Moreira, Demerval S. [UNESP] Rosário, Nilton E. Silva Dias, Pedro L. Silva Dias, Maria A.F. Souza, Enio P. Freitas, Edmilson D. Longo, Marcos Frassoni, Ariane Fazenda, Alvaro L. Santos E Silva, Cláudio M. Pavani, Cláudio A.B. Eiras, Denis França, Daniela A. Massaru, Daniel Silva, Fernanda B. Santos, Fernando C. Pereira, Gabriel Camponogara, Gláuber Ferrada, Gonzalo A. Campos Velho, Haroldo F. Menezes, Isilda Freire, Julliana L. Alonso, Marcelo F. Gácita, Madeleine S. Zarzur, Maurício Fonseca, Rafael M. Lima, Rafael S. Siqueira, Ricardo A. Braz, Rodrigo Tomita, Simone Oliveira, Valter Martins, Leila D. |
author_role |
author |
author2 |
Panetta, Jairo Longo, Karla M. Rodrigues, Luiz F. Moreira, Demerval S. [UNESP] Rosário, Nilton E. Silva Dias, Pedro L. Silva Dias, Maria A.F. Souza, Enio P. Freitas, Edmilson D. Longo, Marcos Frassoni, Ariane Fazenda, Alvaro L. Santos E Silva, Cláudio M. Pavani, Cláudio A.B. Eiras, Denis França, Daniela A. Massaru, Daniel Silva, Fernanda B. Santos, Fernando C. Pereira, Gabriel Camponogara, Gláuber Ferrada, Gonzalo A. Campos Velho, Haroldo F. Menezes, Isilda Freire, Julliana L. Alonso, Marcelo F. Gácita, Madeleine S. Zarzur, Maurício Fonseca, Rafael M. Lima, Rafael S. Siqueira, Ricardo A. Braz, Rodrigo Tomita, Simone Oliveira, Valter Martins, Leila D. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Instituto Nacional de Pesquisas Espaciais Instituto Tecnológico de AeronáUtica Universidade Estadual Paulista (Unesp) Centro de Meteorologia de Bauru (IPMet) Universidade Federal de São Paulo (UNIFESP) Universidade de São Paulo (USP) Universidade Federal de Campina Grande Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Federal Do Rio Grande Do Norte Universidade Federal de São João Del-Rei Universidade de Évora Campo Grande Universidade Federal de Pelotas Universidade Tecnológica Federal Do Paraná NASA Goddard Space Flight Center |
dc.contributor.author.fl_str_mv |
Freitas, Saulo R. Panetta, Jairo Longo, Karla M. Rodrigues, Luiz F. Moreira, Demerval S. [UNESP] Rosário, Nilton E. Silva Dias, Pedro L. Silva Dias, Maria A.F. Souza, Enio P. Freitas, Edmilson D. Longo, Marcos Frassoni, Ariane Fazenda, Alvaro L. Santos E Silva, Cláudio M. Pavani, Cláudio A.B. Eiras, Denis França, Daniela A. Massaru, Daniel Silva, Fernanda B. Santos, Fernando C. Pereira, Gabriel Camponogara, Gláuber Ferrada, Gonzalo A. Campos Velho, Haroldo F. Menezes, Isilda Freire, Julliana L. Alonso, Marcelo F. Gácita, Madeleine S. Zarzur, Maurício Fonseca, Rafael M. Lima, Rafael S. Siqueira, Ricardo A. Braz, Rodrigo Tomita, Simone Oliveira, Valter Martins, Leila D. |
description |
We present a new version of the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS), in which different previous versions for weather, chemistry, and carbon cycle were unified in a single integrated modeling system software. This new version also has a new set of state-of-the-art physical parameterizations and greater computational parallel and memory usage efficiency. The description of the main model features includes several examples illustrating the quality of the transport scheme for scalars, radiative fluxes on surface, and model simulation of rainfall systems over South America at different spatial resolutions using a scale aware convective parameterization. Additionally, the simulation of the diurnal cycle of the convection and carbon dioxide concentration over the Amazon Basin, as well as carbon dioxide fluxes from biogenic processes over a large portion of South America, are shown. Atmospheric chemistry examples show the model performance in simulating near-surface carbon monoxide and ozone in the Amazon Basin and the megacity of Rio de Janeiro. For tracer transport and dispersion, the model capabilities to simulate the volcanic ash 3-D redistribution associated with the eruption of a Chilean volcano are demonstrated. The gain of computational efficiency is described in some detail. BRAMS has been applied for research and operational forecasting mainly in South America. Model results from the operational weather forecast of BRAMS on 5km grid spacing in the Center for Weather Forecasting and Climate Studies, INPE/Brazil, since 2013 are used to quantify the model skill of near-surface variables and rainfall. The scores show the reliability of BRAMS for the tropical and subtropical areas of South America. Requirements for keeping this modeling system competitive regarding both its functionalities and skills are discussed. Finally, we highlight the relevant contribution of this work to building a South American community of model developers. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-13 2018-12-11T17:23:20Z 2018-12-11T17:23:20Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.5194/gmd-10-189-2017 Geoscientific Model Development, v. 10, n. 1, p. 189-222, 2017. 1991-9603 1991-959X http://hdl.handle.net/11449/176973 10.5194/gmd-10-189-2017 2-s2.0-85009360449 2-s2.0-85009360449.pdf |
url |
http://dx.doi.org/10.5194/gmd-10-189-2017 http://hdl.handle.net/11449/176973 |
identifier_str_mv |
Geoscientific Model Development, v. 10, n. 1, p. 189-222, 2017. 1991-9603 1991-959X 10.5194/gmd-10-189-2017 2-s2.0-85009360449 2-s2.0-85009360449.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Geoscientific Model Development |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
189-222 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129511524401152 |