Aerosol optical properties in the atmosphere of Natal/Brazil by an AERONET network Sun-photometer

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dc.contributor.authorOLIVEIRA, DANIEL C.F. dos S.pt_BR
dc.contributor.authorHOELZEMANN, JUDITH J.pt_BR
dc.contributor.authorLANDULFO, EDUARDOpt_BR
dc.contributor.authorALADOS-ARBOLEDAS, LUCASpt_BR
dc.contributor.authorGUERRERO-RASCADO, JUAN L.pt_BR
dc.contributor.editorALBUQUERQUE, TACIANA T.A.pt_BR
dc.contributor.editorANDRADE, MARIA DE F.pt_BR
dc.contributor.editorSANTOS, JANE M.pt_BR
dc.coverageInternacionalpt_BR
dc.creator.eventoAIR POLLUTION CONFERENCE BRAZIL; COMMUNITY MODELING AND ANALYSIS SYSTEM SOUTH AMERICA, 4thpt_BR
dc.date.accessioned2020-06-10T19:11:58Z
dc.date.available2020-06-10T19:11:58Z
dc.date.eventoJuly 22-24, 2019pt_BR
dc.description.abstractThe study of atmospheric aerosols contributes to the understanding of radiative forcing and global warming. In addition, aerosols may influence atmospheric chemistry, visibility, precipitation and human health. Since 2016, Natal (capital of Rio Grande do Norte, Brazil) has a Sun-photometer (CIMEL) of the RIMA-AERONET network that can identify the presence of biomass burning aerosols and desert dust from Africa. For this identification, it is aimed to characterize the optical properties of these aerosols present in the atmosphere of Natal. The level 1.5 data (version 3) provided by AERONET provide information on some aerosol characteristics such as Aerosol Optical Depth (AOD), Ångström Exponent (α), Single Scattering Albedo (SSA), Asymmetry Factor (g), Complex Refractive Index (N) and Volume Size Distribution (VSD). The analysis period was from August 2017 to March 2018. Aerosols were classified according to global climatologies and their optical properties were described. In addition, backward trajectories were modeled using the HYSPLIT model (version 4.8) to identify the predominant air masses origins. Aerosols present in the atmospheric column of Natal showed monthly mean AOD (500 nm)in the range of 0.10 to 0.(representing ~40%), monthly means of α (440-670 nm)between 0.6 and 0.8 (representing 30%), bimodal VSD with dominant coarse mode, SSA (440 nm) about 0.80, real part around 1.500, imaginary part ranging from 0.0125 to 0.0437 and g above 0.74. The classification showed mixed (60.4%), marine (30.7%) and mineral dust (8.9%) aerosols. The backward trajectories identified that, in about 51% of the cases, are originated from Africa.pt_BR
dc.format.extent319-324pt_BR
dc.identifier.citationOLIVEIRA, DANIEL C.F. dos S.; HOELZEMANN, JUDITH J.; LANDULFO, EDUARDO; ALADOS-ARBOLEDAS, LUCAS; GUERRERO-RASCADO, JUAN L. Aerosol optical properties in the atmosphere of Natal/Brazil by an AERONET network Sun-photometer. In: ALBUQUERQUE, TACIANA T.A. (ed.); ANDRADE, MARIA DE F. (ed.); SANTOS, JANE M. (ed.). In: AIR POLLUTION CONFERENCE BRAZIL; COMMUNITY MODELING AND ANALYSIS SYSTEM SOUTH AMERICA, 4th, July 22-24, 2019, Belo Horizonte, MG. <b>Proceedings...</b> Belo Horizonte, MG: SEAD, Treinamentos e Coaching, 2019. p. 319-324. Disponível em: http://repositorio.ipen.br/handle/123456789/31280.
dc.identifier.orcid0000-0002-9691-5306pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-9691-5306
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/31280
dc.localBelo Horizonte, MGpt_BR
dc.local.eventoBelo Horizonte, MGpt_BR
dc.publisherSEAD, Treinamentos e Coachingpt_BR
dc.rightsopenAccesspt_BR
dc.subjectsatellite atmospheres
dc.subjectphotometers
dc.subjectoptical radar
dc.subjectatmospheres
dc.subjectoptical properties
dc.subjectdusts
dc.subjectenvironment
dc.subjectenvironmental impacts
dc.subjectbiomass
dc.subjectclimatic change
dc.titleAerosol optical properties in the atmosphere of Natal/Brazil by an AERONET network Sun-photometerpt_BR
dc.typeTexto completo de eventopt_BR
dspace.entity.typePublication
ipen.autorEDUARDO LANDULFO
ipen.codigoautor503
ipen.contributor.ipenauthorEDUARDO LANDULFO
ipen.date.recebimento20-06
ipen.event.datapadronizada2019pt_BR
ipen.identifier.ipendoc27046pt_BR
ipen.notas.internasProceedingspt_BR
ipen.type.genreArtigo
relation.isAuthorOfPublicatione4dff370-e8c1-4437-846a-ef18a3ad606b
relation.isAuthorOfPublication.latestForDiscoverye4dff370-e8c1-4437-846a-ef18a3ad606b
sigepi.autor.atividadeLANDULFO, EDUARDO:503:920:Npt_BR
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