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

David K. Adams, Rui M.S. Fernandes, E. Robert Kursinski, Jair M. Maia, Luiz F. Sapucci, Luiz A.T. Machado, Icaro Vitorello, João Francisco Galera Monico, Kirk L. Holub, Seth I. Gutman, Naziano Filizola, Richard A. Bennett

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)207-212
Number of pages6
JournalAtmospheric Science Letters
Issue number2
StatePublished - Apr 2011


  • Brazil
  • Cold pools
  • GPS
  • Precipitable water vapor
  • Water vapor tomography

ASJC Scopus subject areas

  • Atmospheric Science


Dive into the research topics of 'A dense GNSS meteorological network for observing deep convection in the Amazon'. Together they form a unique fingerprint.

Cite this