Determination of region of influence obtained by aircraft vertical profiles using the density of trajectories from the HYSPLIT model

Página do item simplificado
dc.contributor.authorCASSOL, HENRIQUE L.G.pt_BR
dc.contributor.authorDOMINGUES, LUCAS G.pt_BR
dc.contributor.authorSANCHEZ, ALBER H.pt_BR
dc.contributor.authorBASSO, LUANA S.pt_BR
dc.contributor.authorMARANI, LUCIANOpt_BR
dc.contributor.authorTEJADA, GRACIELApt_BR
dc.contributor.authorARAI, EGIDIOpt_BR
dc.contributor.authorCORREIA, CAIOpt_BR
dc.contributor.authorALDEN, CAROLINE B.pt_BR
dc.contributor.authorMILLER, JOHN B.pt_BR
dc.contributor.authorGLOOR, MANUELpt_BR
dc.contributor.authorANDERSON, LIANA O.pt_BR
dc.contributor.authorARAGÃO, LUIZ E.O.C.pt_BR
dc.contributor.authorGATTI, LUCIANA V.pt_BR
dc.coverageInternacionalpt_BR
dc.date.accessioned2020-12-07T13:45:08Z
dc.date.available2020-12-07T13:45:08Z
dc.date.issued2020pt_BR
dc.description.abstractAircraft atmospheric profiling is a valuable technique for determining greenhouse gas fluxes at regional scales (104–106 km2). Here, we describe a new, simple method for estimating the surface influence of air samples that uses backward trajectories based on the Lagrangian model Hybrid Single-Particle Lagrangian Integrated Trajectory Model (HYSPLIT). We determined “regions of influence” on a quarterly basis between 2010 and 2018 for four aircraft vertical profile sites: SAN and ALF in the eastern Amazon, and RBA and TAB or TEF in the western Amazon. We evaluated regions of influence in terms of their relative sensitivity to areas inside and outside the Amazon and their total area inside the Amazon. Regions of influence varied by quarter and less so by year. In the first and fourth quarters, the contribution of the region of influence inside the Amazon was 83–93% for all sites, while in the second and third quarters, it was 57–75%. The interquarter differences are more evident in the eastern than in the western Amazon. Our analysis indicates that atmospheric profiles from the western sites are sensitive to 42–52.2% of the Amazon. In contrast, eastern Amazon sites are sensitive to only 10.9–25.3%. These results may help to spatially resolve the response of greenhouse gas emissions to climate variability over Amazon.pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipIDFAPESP: 16/02018-2; 18/14423-4; 18/14006-4; 18/18493-7pt_BR
dc.description.sponsorshipIDCNPq: 442650/2018-; 441949/2018-5pt_BR
dc.format.extent1-20pt_BR
dc.identifier.citationCASSOL, HENRIQUE L.G.; DOMINGUES, LUCAS G.; SANCHEZ, ALBER H.; BASSO, LUANA S.; MARANI, LUCIANO; TEJADA, GRACIELA; ARAI, EGIDIO; CORREIA, CAIO; ALDEN, CAROLINE B.; MILLER, JOHN B.; GLOOR, MANUEL; ANDERSON, LIANA O.; ARAGÃO, LUIZ E.O.C.; GATTI, LUCIANA V. Determination of region of influence obtained by aircraft vertical profiles using the density of trajectories from the HYSPLIT model. <b>Atmosphere</b>, v. 11, n. 10, p. 1-20, 2020. DOI: <a href="https://dx.doi.org/10.3390/atmos11101073">10.3390/atmos11101073</a>. Disponível em: http://200.136.52.105/handle/123456789/31593.
dc.identifier.doi10.3390/atmos11101073pt_BR
dc.identifier.fasciculo10pt_BR
dc.identifier.issn2073-4433pt_BR
dc.identifier.orcid0000-0003-4908-8974pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4908-8974
dc.identifier.percentilfi41.89pt_BR
dc.identifier.percentilfiCiteScore54.50
dc.identifier.urihttp://200.136.52.105/handle/123456789/31593
dc.identifier.vol11pt_BR
dc.relation.ispartofAtmospherept_BR
dc.rightsopenAccesspt_BR
dc.subjectaircraft
dc.subjectatmospheres
dc.subjectgreenhouses
dc.subjectair quality
dc.subjectsampling
dc.subjectgreenhouse gases
dc.subjectair pollution
dc.subjectair flow
dc.subjectcarbon dioxide
dc.subjectcarbon footprint
dc.titleDetermination of region of influence obtained by aircraft vertical profiles using the density of trajectories from the HYSPLIT modelpt_BR
dc.typeArtigo de periódicopt_BR
dspace.entity.typePublication
ipen.autorLUCIANA VANNI GATTI
ipen.autorCAIO SILVESTRE DE CARVALHO CORREIA
ipen.codigoautor670
ipen.codigoautor9389
ipen.contributor.ipenauthorLUCIANA VANNI GATTI
ipen.contributor.ipenauthorCAIO SILVESTRE DE CARVALHO CORREIA
ipen.date.recebimento20-12
ipen.identifier.fi2.686pt_BR
ipen.identifier.fiCiteScore2.9
ipen.identifier.ipendoc27365pt_BR
ipen.identifier.iwosWoSpt_BR
ipen.identifier.ods13
ipen.range.fi1.500 - 2.999
ipen.range.percentilfi25.00 - 49.99
ipen.type.genreArtigo
relation.isAuthorOfPublication12ece531-6992-4dbf-b85f-3026471e1a3b
relation.isAuthorOfPublicationacc5922b-1651-48af-a115-39477da9c65f
relation.isAuthorOfPublication.latestForDiscoveryacc5922b-1651-48af-a115-39477da9c65f
sigepi.autor.atividadeGATTI, LUCIANA V.:670:1010:Npt_BR
sigepi.autor.atividadeCORREIA, CAIO:9389:1010:Npt_BR
Pacote Original
Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
27365.pdf
Tamanho:
5.32 MB
Formato:
Adobe Portable Document Format
Descrição:
Baixar
Licença do Pacote
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Baixar
Coleções
Periódicos