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The Amazon Dense GNSS Meteorological Network: A New Approach for Examining Water Vapor and Deep Convection Interactions in the Tropics

Journal Article · · Bulletin of the American Meteorological Society
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  1. Univ. Nacional Autonoma de Mexico, Mexico City (Mexico)
  2. Delft Univ. of Technology, Delft (The Netherlands)
  3. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  4. Univ. de Sao Paulo, Sao Paulo (Brazil)
  5. Instituto Nacional de Pesquisas Espaciais, Sao Paulo (Brazil)
  6. The Univ. of Arizona, Tucson, AZ (United States)
  7. Moog Advanced Missions and Science, Golden, CO (United States)
  8. Univ. of Wisconsin, Madison, WI (United States)
  9. Univ. do Estado do Amazonas, Amazonas (Brazil)
  10. Univ. Federal do Amazonas, Amazonas (Brazil)
  11. Univ. Federal de Sao Paulo, Diadema (Brazil)
  12. Univ. de Beira Interior, Coviha (Portugal)
The Amazon Dense Global Navigational Satellite System (GNSS) Meteorological Network ((ADGMN) provides high spatiotemporal resolution, all-weather precipitable water vapor for studying the evolution of continental tropical and sea-breeze convective regimes of Amazonia. The ADGMN campaign consisted of two experiments: a 6-week campaign in and around Belem, which coincided with the Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud-Resolving Modeling and to the Global Precipitation Measurement (CHUVA) and a 1-yr campaign in and around Manaus. The Belem network was composed of 15 GNSS/meteorological stations that provided high-frequency (5 min) PWV data as well as surface meteorological variables For the 6-week duration of the Belem experiment, days were categorized as convective (22 days) or nonconvective (19 days) based solely on a minimum cloud-top temperature of 240 K or below over the central portion of the network and a report of precipitation at at least one site during the afternoon or evening. Here, the Manaus network commenced in April 2011 with 12 GNSS meteorological stations. Local circulations in Manaus driven by anthropogenic deforestation have, in particular, received attention.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1480698
Journal Information:
Bulletin of the American Meteorological Society, Journal Name: Bulletin of the American Meteorological Society Journal Issue: 12 Vol. 96; ISSN 0003-0007
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (11)

Cloudiness over the Amazon rainforest: Meteorology and thermodynamics
  • Collow, Allison B. Marquardt; Miller, Mark A.; Trabachino, Lynne C.
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 13, p. 7990-8005 https://doi.org/10.1002/2016jd024848
journal July 2016
Evaluation of the zenithal total delay estimates from BeiDou/GPS combined signals in the frame of the IGS MGEX project journal November 2018
Analyses of Shallow Convection over the Amazon Coastal Region Using Satellite Images, Data Observations and Modeling journal June 2018
Evaluating Forecast Skills of Moisture from Convective-Permitting WRF-ARW Model during 2017 North American Monsoon Season journal November 2019
Benefits of a Closely-Spaced Satellite Constellation of Atmospheric Polarimetric Radio Occultation Measurements journal October 2019
Assessment of Integrated Water Vapor Estimates from the iGMAS and the Brazilian Network GNSS Ground-Based Receivers in Rio de Janeiro journal November 2019
Optical and geometrical properties of cirrus clouds in Amazonia derived from 1 year of ground-based lidar measurements journal January 2017
Overview: Precipitation characteristics and sensitivities to environmental conditions during GoAmazon2014/5 and ACRIDICON-CHUVA journal January 2018
Multi-year GNSS monitoring of atmospheric IWV over Central and South America for climate studies journal January 2016
Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia journal January 2018
Leaf phenology as one important driver of seasonal changes in isoprene emission in central Amazonia posted_content March 2018

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