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


Autoria(s): Adams, David K.; Fernandes, Rui M. S.; Kursinski, E. Robert; Maia, Jair M.; Sapucci, Luiz F.; Machado, Luiz A. T.; Vitorello, Icaro; Galera Monico, Joao Francisco; Holub, Kirk L.; Gutman, Seth I.; Filizola, Naziano; Bennett, Richard A.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/04/2011

Resumo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Processo FAPESP: 09/15235-8

A 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 Society

Formato

207-212

Identificador

http://dx.doi.org/10.1002/asl.312

Atmospheric Science Letters. Malden: Wiley-blackwell, v. 12, n. 2, p. 207-212, 2011.

1530-261X

http://hdl.handle.net/11449/6674

10.1002/asl.312

WOS:000289649200009

Idioma(s)

eng

Publicador

Wiley-Blackwell

Relação

Atmospheric Science Letters

Direitos

closedAccess

Palavras-Chave #precipitable water vapor #cold pools #water vapor tomography #GPS #Brazil
Tipo

info:eu-repo/semantics/article