Artículos de revistas
A dense GNSS meteorological network for observing deep convection in the Amazon
Fecha
2011-04-01Registro en:
Atmospheric Science Letters. Malden: Wiley-blackwell, v. 12, n. 2, p. 207-212, 2011.
1530-261X
10.1002/asl.312
WOS:000289649200009
7180879644760038
Autor
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)
Institución
Resumen
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