Please use this identifier to cite or link to this item:
Title: A dense GNSS meteorological network for observing deep convection in the Amazon
Authors: 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.
Keywords: Atmospheric Convection
Cold Pool
Data Set
Water Vapor
Amazon Basin
Issue Date: 2011
metadata.dc.publisher.journal: Atmospheric Science Letters
metadata.dc.relation.ispartof: 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.
metadata.dc.identifier.doi: 10.1002/asl.312
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.