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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/6674
Title: 
A dense GNSS meteorological network for observing deep convection in the Amazon
Author(s): 
Institution: 
  • Univ Estado Amazonas
  • Univ Beira Interior
  • University of Arizona
  • Inst Nacl Pesquisas Amazonia LBA
  • Instituto Nacional de Pesquisas Espaciais (INPE)
  • Universidade Estadual Paulista (UNESP)
  • Natl Ocean & Atmospher Adm
  • Universidade Federal do Amazonas (UFAM)
ISSN: 
1530-261X
Sponsorship: 
  • LBA/INPA
  • UEA
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Sponsorship Process Number: 
FAPESP: 09/15235-8
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
Issue Date: 
1-Apr-2011
Citation: 
Atmospheric Science Letters. Malden: Wiley-blackwell, v. 12, n. 2, p. 207-212, 2011.
Time Duration: 
207-212
Publisher: 
Wiley-Blackwell
Keywords: 
  • precipitable water vapor
  • cold pools
  • water vapor tomography
  • GPS
  • Brazil
Source: 
http://dx.doi.org/10.1002/asl.312
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/6674
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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