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Campo DC | Valor | Idioma |
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dc.contributor.author | Adams, David K. | - |
dc.contributor.author | Silva Fernandes, Rui Manuel da | - |
dc.contributor.author | Kursinski, E. Robert | - |
dc.contributor.author | Maia, Jair Max Furtunato | - |
dc.contributor.author | Sapucci, L. F. | - |
dc.contributor.author | Machado, Luiz Augusto Toledo | - |
dc.contributor.author | Vitorello, Ícaro | - |
dc.contributor.author | Monico, João Francisco Galera | - |
dc.contributor.author | Holub, Kirk L. | - |
dc.contributor.author | Gutman, Seth I. | - |
dc.contributor.author | Filizola, Naziano Pantoja | - |
dc.contributor.author | Bennett, Richard A. | - |
dc.date.accessioned | 2020-06-15T21:52:39Z | - |
dc.date.available | 2020-06-15T21:52:39Z | - |
dc.date.issued | 2011 | - |
dc.identifier.uri | https://repositorio.inpa.gov.br/handle/1/18208 | - |
dc.description.abstract | A dense Global Navigation Satellite System (GNSS) meteorological network (∼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. © 2011 Royal Meteorological Society. | en |
dc.language.iso | en | pt_BR |
dc.relation.ispartof | Volume 12, Número 2, Pags. 207-212 | pt_BR |
dc.rights | Restrito | * |
dc.subject | Atmospheric Convection | en |
dc.subject | Cold Pool | en |
dc.subject | Data Set | en |
dc.subject | Gnss | en |
dc.subject | Gps | en |
dc.subject | Parameterization | en |
dc.subject | Tomography | en |
dc.subject | Water Vapor | en |
dc.subject | Amazon Basin | en |
dc.title | A dense GNSS meteorological network for observing deep convection in the Amazon | en |
dc.type | Artigo | pt_BR |
dc.identifier.doi | 10.1002/asl.312 | - |
dc.publisher.journal | Atmospheric Science Letters | pt_BR |
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