Please use this identifier to cite or link to this item: http://repositorio.unitau.br/jspui/handle/20.500.11874/3040
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dc.contributor.authorFreitas, S. R.pt_BR
dc.contributor.authorLongo, K. M.pt_BR
dc.contributor.authorDias, M. A. F. Silvapt_BR
dc.contributor.authorChatfield, R.pt_BR
dc.contributor.authorDias, P. Silvapt_BR
dc.contributor.authorArtaxo, P.pt_BR
dc.contributor.authorAndreae, M. O.pt_BR
dc.contributor.authorGrell, G.pt_BR
dc.contributor.authorRodrigues, L. F.pt_BR
dc.contributor.authorFazenda, A.pt_BR
dc.contributor.authorPanetta, J.pt_BR
dc.date.accessioned2019-09-12T16:57:04Z-
dc.date.available2019-09-12T16:57:04Z-
dc.date.issued2009-
dc.citation.volume9pt_BR
dc.citation.issue8pt_BR
dc.citation.spage2843-
dc.citation.epage2861-
dc.identifier.doi10.5194/acp-9-2843-2009pt_BR
dc.identifier.issn1680-7316-
dc.identifier.urihttp://repositorio.unitau.br/jspui/handle/20.500.11874/3040-
dc.description.abstractWe introduce the Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS). CATT-BRAMS is an on-line transport model fully consistent with the simulated atmospheric dynamics. Emission sources from biomass burning and urban-industrial-vehicular activities for trace gases and from biomass burning aerosol particles are obtained from several published datasets and remote sensing information. The tracer and aerosol mass concentration prognostics include the effects of sub-grid scale turbulence in the planetary boundary layer, convective transport by shallow and deep moist convection, wet and dry deposition, and plume rise associated with vegetation fires in addition to the grid scale transport. The radiation parameterization takes into account the interaction between the simulated biomass burning aerosol particles and short and long wave radiation. The atmospheric model BRAMS is based on the Regional Atmospheric Modeling System (RAMS), with several improvements associated with cumulus convection representation, soil moisture initialization and surface scheme tuned for the tropics, among others. In this paper the CATT-BRAMS model is used to simulate carbon monoxide and particulate material (PM2.5) surface fluxes and atmospheric transport during the 2002 LBA field campaigns, conducted during the transition from the dry to wet season in the southwest Amazon Basin. Model evaluation is addressed with comparisons between model results and near surface, radiosondes and airborne measurements performed during the field campaign, as well as remote sensing derived products. We show the matching of emissions strengths to observed carbon monoxide in the LBA campaign. A relatively good comparison to the MOPITT data, in spite of the fact that MOPITT a priori assumptions imply several difficulties, is also obtained.en
dc.description.provenanceMade available in DSpace on 2019-09-12T16:57:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2009en
dc.description.sponsorshipNASA Headquarters]pt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipEuropean Commissionpt_BR
dc.description.sponsorshipMax Planck Societypt_BR
dc.description.sponsorshipInstituto do Milenio/LBA/CNPq/MCTpt_BR
dc.description.sponsorshipMoore Foundationpt_BR
dc.description.sponsorshipInter-American Institute for Global Change Research (IAI) CRN II 2017pt_BR
dc.description.sponsorshipUS National Science Foundationpt_BR
dc.languageInglêspt_BR
dc.publisherCopernicus Gesellschaft Mbh-
dc.publisher.countryAlemanhapt_BR
dc.relation.ispartofAtmospheric Chemistry and Physics-
dc.rightsEm verificaçãopt_BR
dc.sourceWeb of Sciencept_BR
dc.subject.otherOptical-Propertiesen
dc.subject.otherSouth-Americaen
dc.subject.otherSmokeen
dc.subject.otherEmissionsen
dc.subject.otherAmazoniaen
dc.subject.otherCarbonen
dc.subject.otherFireen
dc.subject.otherParameterizationen
dc.subject.otherConvectionen
dc.subject.otherResolutionen
dc.titleThe Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) - Part 1: Model description and evaluationen
dc.typeArtigo de Periódicopt_BR
dc.contributor.orcidFreitas, Saulo https://orcid.org/0000-0002-9879-646Xpt_BR
dc.contributor.orcidgrell, georg https://orcid.org/0000-0001-5214-8742pt_BR
dc.contributor.orcidAndreae, Meinrat O https://orcid.org/0000-0003-1968-7925pt_BR
dc.contributor.orcidLeite da Silva Dias, Pedro https://orcid.org/0000-0002-4051-2962pt_BR
dc.contributor.orcidArtaxo, Paulo https://orcid.org/0000-0001-7754-3036pt_BR
dc.contributor.orcidFazenda, Alvaro https://orcid.org/0000-0002-4052-1113pt_BR
dc.contributor.researcheridFreitas, Saulo/A-2279-2012pt_BR
dc.contributor.researcheridgrell, georg/B-6234-2015pt_BR
dc.contributor.researcheridAndreae, Meinrat O/B-1068-2008pt_BR
dc.contributor.researcheridLeite da Silva Dias, Pedro/H-1183-2016pt_BR
dc.contributor.researcheridArtaxo, Paulo/E-8874-2010pt_BR
dc.identifier.wosWOS:000265743100015-
dc.description.affiliation[Freitas, S. R.; Longo, K. M.; Dias, M. A. F. Silva; Rodrigues, L. F.; Fazenda, A.; Panetta, J.] INPE, Ctr Weather Forecasts & Climate Studies CPTEC, Cachoeira Paulista, Brazil-
dc.description.affiliation[Dias, M. A. F. Silva; Dias, P. Silva] Univ Sao Paulo, Dept Atmospher Sci, BR-05508 Sao Paulo, Brazil-
dc.description.affiliation[Chatfield, R.] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA-
dc.description.affiliation[Artaxo, P.] Univ Sao Paulo, Inst Phys, BR-05508 Sao Paulo, Brazil-
dc.description.affiliation[Andreae, M. O.] Max Planck Inst Chem, D-55128 Mainz, Germany-
dc.description.affiliation[Grell, G.] Univ Colorado, NOAA, Cooperat Inst Res Environm Sci, Res Forecast Syst Lab, Boulder, CO 80309 USA-
dc.description.affiliation[Fazenda, A.] Universidade de Taubaté (Unitau), Dept Comp Sci, Sao Paulo, Brazil-
dc.subject.wosareaEnvironmental Sciencesen
dc.subject.wosareaMeteorology & Atmospheric Sciencesen
dc.subject.researchareaEnvironmental Sciences & Ecologyen
dc.subject.researchareaMeteorology & Atmospheric Sciencesen
Appears in Collections:Artigos de Periódicos

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