A dense GNSS meteorological network for observing deep convection in the Amazon

Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/18208

Título:	A dense GNSS meteorological network for observing deep convection in the Amazon
Autor:	Adams, David K. Silva Fernandes, Rui Manuel da Kursinski, E. Robert Maia, Jair Max Furtunato Sapucci, L. F. Machado, Luiz Augusto Toledo Vitorello, Ícaro Monico, João Francisco Galera Holub, Kirk L. Gutman, Seth I. Filizola, Naziano Pantoja Bennett, Richard A.
Palavras-chave:	Atmospheric Convection Cold Pool Data Set Gnss Gps Parameterization Tomography Water Vapor Amazon Basin
Data do documento:	2011
Revista:	Atmospheric Science Letters
É parte de:	Volume 12, Número 2, Pags. 207-212
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.
DOI:	10.1002/asl.312
Aparece nas coleções:	Artigos

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