Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAdams, David K.-
dc.contributor.authorSilva Fernandes, Rui Manuel da-
dc.contributor.authorKursinski, E. Robert-
dc.contributor.authorMaia, Jair Max Furtunato-
dc.contributor.authorSapucci, L. F.-
dc.contributor.authorMachado, Luiz Augusto Toledo-
dc.contributor.authorVitorello, Ícaro-
dc.contributor.authorMonico, João Francisco Galera-
dc.contributor.authorHolub, Kirk L.-
dc.contributor.authorGutman, Seth I.-
dc.contributor.authorFilizola, Naziano Pantoja-
dc.contributor.authorBennett, Richard A.-
dc.description.abstractA 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.relation.ispartofVolume 12, Número 2, Pags. 207-212pt_BR
dc.subjectAtmospheric Convectionen
dc.subjectCold Poolen
dc.subjectData Seten
dc.subjectWater Vaporen
dc.subjectAmazon Basinen
dc.titleA dense GNSS meteorological network for observing deep convection in the Amazonen
dc.publisher.journalAtmospheric Science Letterspt_BR
Appears in Collections:Artigos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.