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 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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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 |
_version_ |
1814268269556662272 |