Open AccessA dense GNSS meteorological network for observing deep convection in the Amazon
Author(s) -
Adams David K.,
Fernandes Rui M. S.,
Kursinski E. Robert,
Maia Jair M.,
Sapucci Luiz F.,
Machado Luiz A. T.,
Vitorello Icaro,
Monico João Francisco Galera,
Holub Kirk L.,
Gutman Seth I.,
Filizola Naziano,
Bennett Richard A.
Publication year - 2011
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl.312
Subject(s) - gnss applications , water vapor , environmental science , amazon rainforest , meteorology , advection , initialization , convection , satellite , precipitable water , climatology , computer science , geology , geography , physics , ecology , astronomy , biology , programming language , thermodynamics
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. Copyright © 2011 Royal Meteorological Society