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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
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Adams, David K. [1] ; Fernandes, Rui M. S. [2] ; Kursinski, E. Robert [3] ; Maia, Jair M. [4] ; Sapucci, Luiz F. [5] ; Machado, Luiz A. T. [5] ; Vitorello, Icaro [6] ; Galera Monico, Joao Francisco [7] ; Holub, Kirk L. [8] ; Gutman, Seth I. [8] ; Filizola, Naziano [9] ; Bennett, Richard A. [10]
Total Authors: 12
Affiliation:
[1] Univ Estado Amazonas, CESTU, BR-69050010 Manaus, Amazonas - Brazil
[2] Univ Beira Interior, Inst Geophys D Luiz, Covilha - Portugal
[3] Univ Arizona, Dept Atmospher Sci, Tucson, AZ - USA
[4] Inst Nacl Pesquisas Amazonia LBA, Manaus, Amazonas - Brazil
[5] Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo & Estudos Climat, Sao Paulo - Brazil
[6] Inst Nacl Pesquisas Espaciais, Div Geofis Espacial, Sao Paulo - Brazil
[7] Univ Estadual Paulista, Dept Cartog, Sao Paulo - Brazil
[8] Natl Ocean & Atmospher Adm, Earth Syst Res Lab, Boulder, CO - USA
[9] Univ Fed Amazonas, Dept Geog, Manaus, Amazonas - Brazil
[10] Univ Arizona, Dept Geosci, Tucson, AZ 85721 - USA
Total Affiliations: 10
Document type: Journal article
Source: Atmospheric Science Letters; v. 12, n. 2, p. 207-212, APR-JUN 2011.
Web of Science Citations: 20
Abstract

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 (AU)

FAPESP's process: 09/15235-8 - Cloud processes of the main precipitation systems in Brazil: a contribution to cloud resolving modeling and to the GPM (Global Precipitation Measurement)
Grantee:Luiz Augusto Toledo Machado
Support type: Research Projects - Thematic Grants