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

被引：31

作者：

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
]}

机构：

[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

来源：

ATMOSPHERIC SCIENCE LETTERS | 2011年 / 12卷 / 02期

基金：

巴西圣保罗研究基金会;

关键词：

precipitable water vapor; cold pools; water vapor tomography; GPS; Brazil; HIGH-RESOLUTION SIMULATION; VERTICAL WIND SHEARS; WATER-VAPOR; TROPICAL CONVECTION; GPS; ORGANIZATION; TRANSITION; SHALLOW; REGION; WAVES;

D O I：

10.1002/asl.312

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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

引用

页码：207 / 212

页数：6

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