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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/6674
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dc.contributor.authorAdams, David K.-
dc.contributor.authorFernandes, Rui M. S.-
dc.contributor.authorKursinski, E. Robert-
dc.contributor.authorMaia, Jair M.-
dc.contributor.authorSapucci, Luiz F.-
dc.contributor.authorMachado, Luiz A. T.-
dc.contributor.authorVitorello, Icaro-
dc.contributor.authorGalera Monico, Joao Francisco-
dc.contributor.authorHolub, Kirk L.-
dc.contributor.authorGutman, Seth I.-
dc.contributor.authorFilizola, Naziano-
dc.contributor.authorBennett, Richard A.-
dc.date.accessioned2014-05-20T13:22:38Z-
dc.date.accessioned2016-10-25T16:43:46Z-
dc.date.available2014-05-20T13:22:38Z-
dc.date.available2016-10-25T16:43:46Z-
dc.date.issued2011-04-01-
dc.identifierhttp://dx.doi.org/10.1002/asl.312-
dc.identifier.citationAtmospheric Science Letters. Malden: Wiley-blackwell, v. 12, n. 2, p. 207-212, 2011.-
dc.identifier.issn1530-261X-
dc.identifier.urihttp://hdl.handle.net/11449/6674-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/6674-
dc.description.abstractA dense Global Navigation Satellite System (GNSS) meteorological network (similar to 20 stations) in the central Amazon Basin in Brazil is being developed for long-term studies of deep convection/water vapor interactions and feedback. In this article, the network is described and preliminary results are presented: GNSS-derived precipitable water vapor is useful for tracking water vapor advection and in identifying convective events and water vapor convergence timescales. Upon network completion (early 2011), 3D water vapor field analyses and participation in the intensive field campaign GPM-CHUVA will provide unique data sets for initializing, constraining or validating high-resolution models or refining convective parameterizations. Copyright (C) 2011 Royal Meteorological Societyen
dc.description.sponsorshipLBA/INPA-
dc.description.sponsorshipUEA-
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.format.extent207-212-
dc.language.isoeng-
dc.publisherWiley-Blackwell-
dc.sourceWeb of Science-
dc.subjectprecipitable water vaporen
dc.subjectcold poolsen
dc.subjectwater vapor tomographyen
dc.subjectGPSen
dc.subjectBrazilen
dc.titleA dense GNSS meteorological network for observing deep convection in the Amazonen
dc.typeoutro-
dc.contributor.institutionUniv Estado Amazonas-
dc.contributor.institutionUniv Beira Interior-
dc.contributor.institutionUniversity of Arizona-
dc.contributor.institutionInst Nacl Pesquisas Amazonia LBA-
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionNatl Ocean & Atmospher Adm-
dc.contributor.institutionUniversidade Federal do Amazonas (UFAM)-
dc.description.affiliationUniv Estado Amazonas, CESTU, BR-69050010 Manaus, Amazonas, Brazil-
dc.description.affiliationUniv Beira Interior, Inst Geophys D Luiz, Covilha, Portugal-
dc.description.affiliationUniv Arizona, Dept Atmospher Sci, Tucson, AZ USA-
dc.description.affiliationInst Nacl Pesquisas Amazonia LBA, Manaus, Amazonas, Brazil-
dc.description.affiliationInst Nacl Pesquisas Espaciais, Ctr Previsao Tempo & Estudos Climat, São Paulo, Brazil-
dc.description.affiliationInst Nacl Pesquisas Espaciais, Div Geofis Espacial, São Paulo, Brazil-
dc.description.affiliationUniv Estadual Paulista, Dept Cartog, São Paulo, Brazil-
dc.description.affiliationNatl Ocean & Atmospher Adm, Earth Syst Res Lab, Boulder, CO USA-
dc.description.affiliationUniv Fed Amazonas, Dept Geog, Manaus, Amazonas, Brazil-
dc.description.affiliationUniv Arizona, Dept Geosci, Tucson, AZ 85721 USA-
dc.description.affiliationUnespUniv Estadual Paulista, Dept Cartog, São Paulo, Brazil-
dc.description.sponsorshipIdFAPESP: 09/15235-8-
dc.identifier.doi10.1002/asl.312-
dc.identifier.wosWOS:000289649200009-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofAtmospheric Science Letters-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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