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Atmospheric Science Letters
Article . 2011 . Peer-reviewed
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Article . 2011
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https://dx.doi.org/10.1002/asl...
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A dense GNSS meteorological network for observing deep convection in the Amazon

descriptionPublicationkeyboard_double_arrow_right Article 31 Jan 2011 Brazil English Publisher:WileyJournal:Atmospheric Science Letters, volume 12, pages 207-212 (issn: 1530-261X, eissn: 1530-261X, Copyright policy )
Authors: Adams, David K.; Fernandes, Rui M. S.; Kursinski, E. Robert; Maia, Jair M.; Sapucci, Luiz F.; Machado, Luiz A. T.; Vitorello, Icaro; +5 Authors

doi: 10.1002/asl.312

handle: 11449/6674

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

Abstract

AbstractA 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

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Brazil
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Keywords

Cold Pool, Data Set, Gnss, precipitable water vapor, GPS, Gps, Brasil, Parameterization, water vapor tomography, Water Vapor, cold pools, Atmospheric Convection, Tomography, Brazil, Amazon Basin

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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