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

Detalhes bibliográficos
Autor(a) principal: Freitas, Saulo R.
Data de Publicação: 2017
Outros Autores: Panetta, Jairo, Longo, Karla M., Rodrigues, Luiz F., Moreira, Demerval S., Rosario, Nilton E. [UNIFESP], Silva Dias, Pedro L., Silva Dias, Maria A. F., Souza, Enio P., Freitas, Edmilson D., Longo, Marcos, Frassoni, Ariane, Fazenda, Alvaro L. [UNIFESP], Santos e Silva, Claudio M., Pavani, Claudio A. B., Eiras, Denis, Franca, Daniela A., Massaru, Daniel, Silva, Fernanda B., Santos, Fernando C., Pereira, Gabriel, Camponogara, Glauber, Ferrada, Gonzalo A., Campos, Haroldo F., Campos Velho, Haroldo F., Menezes, Isilda, Freire, Julliana L., Alonso, Marcelo F., Gacita, Madeleine S., Zarzur, Mauricio, Fonseca, Rafael M., Lima, Rafael S., Siqueira, Ricardo A., Braz, Rodrigo, Tomita, Simone, Oliveira, Valter, Martins, Leila D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: http://dx.doi.org/10.5194/gmd-10-189-2017
https://repositorio.unifesp.br/handle/11600/55254
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 5 km 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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spelling 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 5 km 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.Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo & Estudos Climat, Cachoeira Paulista, SP, BrazilDiv Ciência da Computação, Instituto Tecnológico de Aeronáutica, São José dos Campos, SP, BrazilUniv Estadual Paulista Unesp, Fac Ciencias, Bauru, SP, BrazilCtr Meteorol Bauru IPMet, Bauru, SP, BrazilUniv Fed Sao Paulo, Dept Ciencias Ambientais, Diadema, SP, BrazilUniv Sao Paulo, Inst Astron Geofis & Ciencias Atmosfer, Sao Paulo, SP, BrazilUniv Fed Campina Grande, Dept Ciencias Atmosfer, Campina Grande, PB, BrazilEmbrapa Informat Agr, Campinas, SP, BrazilUniv Fed Sao Paulo, Inst Ciencia & Tecnol, Sao Jose Dos Campos, SP, BrazilUniv Fed Rio Grande do Norte, Dept Ciencias Atmosfer & Climat, Programa Pos Grad Ciencias Climat, Natal, RN, BrazilInst Nacl Pesquisas Espaciais, Ctr Ciencias Sistema, Sao Jose Dos Campos, SP, BrazilUniv Fed Sao Joao Del Rei, Dept Geociencias, Sao Joao Del Rei, MG, BrazilInst Nacl Pesquisas Espaciais, Lab Associado Computacao & Matemat Aplica, Sao Jose Dos Campos, BrazilUniv Evora, Inst Ciencias Agr & Ambientais Mediterr, Evora, PortugalUniv Lusofona Humanidades & Tecnol, Ctr Interdisciplinar Desenvolvimento Ambient Gest, Lisbon, PortugalUniv Fed Pelotas, Fac Meteorol, Pelotas, RS, BrazilUnive Tecnol Fed Parana, Londrina, PR, BrazilNASA, Goddard Space Flight Ctr, Univ Space Res Assoc, Goddard Earth Sci Technol & Res Global Modeling &, Greenbelt, MD USAUniv Fed Sao Paulo, Inst Ciencia & Tecnol, Sao Jose Dos Campos, SP, BrazilUniv Fed Sao Paulo, Inst Ciencia & Tecnol, Sao Jose Dos Campos, SP, BrazilWeb of ScienceCNPqFAPESPEarth System Research Laboratory at the National Oceanic and Atmospheric Administration (ESRL/NOAA), Boulder, USACNPq: 306340/2011-9FAPESP: 2014/01563-1FAPESP: 2015/10206-0FAPESP: 2014/01564-8Copernicus Gesellschaft Mbh2020-07-17T14:03:15Z2020-07-17T14:03:15Z2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion189-222application/pdfhttp://dx.doi.org/10.5194/gmd-10-189-2017Geoscientific Model Development. Gottingen, v. 10, n. 1, p. 189-222, 2017.10.5194/gmd-10-189-2017WOS000393685100002.pdf1991-959Xhttps://repositorio.unifesp.br/handle/11600/55254WOS:000393685100002engGeoscientific Model DevelopmentGottingeninfo:eu-repo/semantics/openAccessFreitas, Saulo R.Panetta, JairoLongo, Karla M.Rodrigues, Luiz F.Moreira, Demerval S.Rosario, Nilton E. [UNIFESP]Silva Dias, Pedro L.Silva Dias, Maria A. F.Souza, Enio P.Freitas, Edmilson D.Longo, MarcosFrassoni, ArianeFazenda, Alvaro L. [UNIFESP]Santos e Silva, Claudio M.Pavani, Claudio A. B.Eiras, DenisFranca, Daniela A.Massaru, DanielSilva, Fernanda B.Santos, Fernando C.Pereira, GabrielCamponogara, GlauberFerrada, Gonzalo A.Campos, Haroldo F.Campos Velho, Haroldo F.Menezes, IsildaFreire, Julliana L.Alonso, Marcelo F.Gacita, Madeleine S.Zarzur, MauricioFonseca, Rafael M.Lima, Rafael S.Siqueira, Ricardo A.Braz, RodrigoTomita, SimoneOliveira, ValterMartins, Leila D.reponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2024-08-03T07:03:28Zoai:repositorio.unifesp.br/:11600/55254Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-08-03T07:03:28Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)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.
Rosario, Nilton E. [UNIFESP]
Silva Dias, Pedro L.
Silva Dias, Maria A. F.
Souza, Enio P.
Freitas, Edmilson D.
Longo, Marcos
Frassoni, Ariane
Fazenda, Alvaro L. [UNIFESP]
Santos e Silva, Claudio M.
Pavani, Claudio A. B.
Eiras, Denis
Franca, Daniela A.
Massaru, Daniel
Silva, Fernanda B.
Santos, Fernando C.
Pereira, Gabriel
Camponogara, Glauber
Ferrada, Gonzalo A.
Campos, Haroldo F.
Campos Velho, Haroldo F.
Menezes, Isilda
Freire, Julliana L.
Alonso, Marcelo F.
Gacita, Madeleine S.
Zarzur, Mauricio
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.
Rosario, Nilton E. [UNIFESP]
Silva Dias, Pedro L.
Silva Dias, Maria A. F.
Souza, Enio P.
Freitas, Edmilson D.
Longo, Marcos
Frassoni, Ariane
Fazenda, Alvaro L. [UNIFESP]
Santos e Silva, Claudio M.
Pavani, Claudio A. B.
Eiras, Denis
Franca, Daniela A.
Massaru, Daniel
Silva, Fernanda B.
Santos, Fernando C.
Pereira, Gabriel
Camponogara, Glauber
Ferrada, Gonzalo A.
Campos, Haroldo F.
Campos Velho, Haroldo F.
Menezes, Isilda
Freire, Julliana L.
Alonso, Marcelo F.
Gacita, Madeleine S.
Zarzur, Mauricio
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
author
dc.contributor.author.fl_str_mv Freitas, Saulo R.
Panetta, Jairo
Longo, Karla M.
Rodrigues, Luiz F.
Moreira, Demerval S.
Rosario, Nilton E. [UNIFESP]
Silva Dias, Pedro L.
Silva Dias, Maria A. F.
Souza, Enio P.
Freitas, Edmilson D.
Longo, Marcos
Frassoni, Ariane
Fazenda, Alvaro L. [UNIFESP]
Santos e Silva, Claudio M.
Pavani, Claudio A. B.
Eiras, Denis
Franca, Daniela A.
Massaru, Daniel
Silva, Fernanda B.
Santos, Fernando C.
Pereira, Gabriel
Camponogara, Glauber
Ferrada, Gonzalo A.
Campos, Haroldo F.
Campos Velho, Haroldo F.
Menezes, Isilda
Freire, Julliana L.
Alonso, Marcelo F.
Gacita, Madeleine S.
Zarzur, Mauricio
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 5 km 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
2020-07-17T14:03:15Z
2020-07-17T14:03:15Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5194/gmd-10-189-2017
Geoscientific Model Development. Gottingen, v. 10, n. 1, p. 189-222, 2017.
10.5194/gmd-10-189-2017
WOS000393685100002.pdf
1991-959X
https://repositorio.unifesp.br/handle/11600/55254
WOS:000393685100002
url http://dx.doi.org/10.5194/gmd-10-189-2017
https://repositorio.unifesp.br/handle/11600/55254
identifier_str_mv Geoscientific Model Development. Gottingen, v. 10, n. 1, p. 189-222, 2017.
10.5194/gmd-10-189-2017
WOS000393685100002.pdf
1991-959X
WOS:000393685100002
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.coverage.none.fl_str_mv Gottingen
dc.publisher.none.fl_str_mv Copernicus Gesellschaft Mbh
publisher.none.fl_str_mv Copernicus Gesellschaft Mbh
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
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