GNSS precipitable water vapor from an Amazonian rain forest flux tower

Detalhes bibliográficos
Autor(a) principal: Adams, David K.
Data de Publicação: 2011
Outros Autores: Silva Fernandes, Rui Manuel da, Maia, Jair Max Furtunato
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/16175
Resumo: Understanding the complex interactions between water vapor fields and deep convection on the mesoscale requires observational networks with high spatial (kilometers) and temporal (minutes) resolution. In the equatorial tropics, where deep convection dominates the vertical distribution of the most important greenhouse substance-water-these mesoscale networks are nonexistent. Global Navigational Satellite System (GNSS) meteorological networks offer high temporal/spatial resolution precipitable water vapor, but infrastructure exigencies are great. The authors report here on very accurate precipitable water vapor (PWV) values calculated from a GNSS receiver installed on a highly nonideal Amazon rain forest flux tower. Further experiments with a mechanically oscillating platform demonstrate that errors and biases of approximately 1 mm (2%-3% of PWV) can be expected when compared with a stable reference GNSS receiver for two different geodetic grade receivers/antennas and processing methods [GPS-Inferred Positioning System (GIPSY) andGAMIT]. The implication is that stable fixed antennas are unnecessary for accurate calculation of precipitable water vapor regardless of processing techniques or geodetic grade receiver. © 2011 American Meteorological Society.
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spelling Adams, David K.Silva Fernandes, Rui Manuel daMaia, Jair Max Furtunato2020-05-25T20:59:14Z2020-05-25T20:59:14Z2011https://repositorio.inpa.gov.br/handle/1/1617510.1175/JTECH-D-11-00082.1Understanding the complex interactions between water vapor fields and deep convection on the mesoscale requires observational networks with high spatial (kilometers) and temporal (minutes) resolution. In the equatorial tropics, where deep convection dominates the vertical distribution of the most important greenhouse substance-water-these mesoscale networks are nonexistent. Global Navigational Satellite System (GNSS) meteorological networks offer high temporal/spatial resolution precipitable water vapor, but infrastructure exigencies are great. The authors report here on very accurate precipitable water vapor (PWV) values calculated from a GNSS receiver installed on a highly nonideal Amazon rain forest flux tower. Further experiments with a mechanically oscillating platform demonstrate that errors and biases of approximately 1 mm (2%-3% of PWV) can be expected when compared with a stable reference GNSS receiver for two different geodetic grade receivers/antennas and processing methods [GPS-Inferred Positioning System (GIPSY) andGAMIT]. The implication is that stable fixed antennas are unnecessary for accurate calculation of precipitable water vapor regardless of processing techniques or geodetic grade receiver. © 2011 American Meteorological Society.Volume 28, Número 10, Pags. 1192-1198Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAmazon RainforestComplex InteractionConvective StormsDeep ConvectionGnss ReceiversInstrumentation/sensorsMeso ScaleMesoscale NetworksMesoscale ProcessNavigational SatellitesNonidealOscillating PlatformPositioning SystemPrecipitable Water VaporProcessing MethodProcessing TechniqueRain ForestsVertical DistributionsWater Vapor FieldsForestryGeodesyGeodetic SatellitesGlobal Positioning SystemNatural ConvectionNavigation SystemsProcessingRainSignal ReceiversWater VaporAccuracy AssessmentConvective SystemGnssGpsMesoscale MeteorologyPrecipitation AssessmentPrecipitation IntensityRainforestSpatial ResolutionTemporal VariationWater VaporForestryProcessingRainSatellitesSensorsSignalsWater VaporAmazoniaGNSS precipitable water vapor from an Amazonian rain forest flux towerinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleJournal of Atmospheric and Oceanic Technologyengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALGNSS.pdfGNSS.pdfapplication/pdf1734177https://repositorio.inpa.gov.br/bitstream/1/16175/1/GNSS.pdf78a2ba09df673e9b21d4845f2c811b8cMD511/161752020-07-14 11:27:29.08oai:repositorio:1/16175Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:27:29Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv GNSS precipitable water vapor from an Amazonian rain forest flux tower
title GNSS precipitable water vapor from an Amazonian rain forest flux tower
spellingShingle GNSS precipitable water vapor from an Amazonian rain forest flux tower
Adams, David K.
Amazon Rainforest
Complex Interaction
Convective Storms
Deep Convection
Gnss Receivers
Instrumentation/sensors
Meso Scale
Mesoscale Networks
Mesoscale Process
Navigational Satellites
Nonideal
Oscillating Platform
Positioning System
Precipitable Water Vapor
Processing Method
Processing Technique
Rain Forests
Vertical Distributions
Water Vapor Fields
Forestry
Geodesy
Geodetic Satellites
Global Positioning System
Natural Convection
Navigation Systems
Processing
Rain
Signal Receivers
Water Vapor
Accuracy Assessment
Convective System
Gnss
Gps
Mesoscale Meteorology
Precipitation Assessment
Precipitation Intensity
Rainforest
Spatial Resolution
Temporal Variation
Water Vapor
Forestry
Processing
Rain
Satellites
Sensors
Signals
Water Vapor
Amazonia
title_short GNSS precipitable water vapor from an Amazonian rain forest flux tower
title_full GNSS precipitable water vapor from an Amazonian rain forest flux tower
title_fullStr GNSS precipitable water vapor from an Amazonian rain forest flux tower
title_full_unstemmed GNSS precipitable water vapor from an Amazonian rain forest flux tower
title_sort GNSS precipitable water vapor from an Amazonian rain forest flux tower
author Adams, David K.
author_facet Adams, David K.
Silva Fernandes, Rui Manuel da
Maia, Jair Max Furtunato
author_role author
author2 Silva Fernandes, Rui Manuel da
Maia, Jair Max Furtunato
author2_role author
author
dc.contributor.author.fl_str_mv Adams, David K.
Silva Fernandes, Rui Manuel da
Maia, Jair Max Furtunato
dc.subject.eng.fl_str_mv Amazon Rainforest
Complex Interaction
Convective Storms
Deep Convection
Gnss Receivers
Instrumentation/sensors
Meso Scale
Mesoscale Networks
Mesoscale Process
Navigational Satellites
Nonideal
Oscillating Platform
Positioning System
Precipitable Water Vapor
Processing Method
Processing Technique
Rain Forests
Vertical Distributions
Water Vapor Fields
Forestry
Geodesy
Geodetic Satellites
Global Positioning System
Natural Convection
Navigation Systems
Processing
Rain
Signal Receivers
Water Vapor
Accuracy Assessment
Convective System
Gnss
Gps
Mesoscale Meteorology
Precipitation Assessment
Precipitation Intensity
Rainforest
Spatial Resolution
Temporal Variation
Water Vapor
Forestry
Processing
Rain
Satellites
Sensors
Signals
Water Vapor
Amazonia
topic Amazon Rainforest
Complex Interaction
Convective Storms
Deep Convection
Gnss Receivers
Instrumentation/sensors
Meso Scale
Mesoscale Networks
Mesoscale Process
Navigational Satellites
Nonideal
Oscillating Platform
Positioning System
Precipitable Water Vapor
Processing Method
Processing Technique
Rain Forests
Vertical Distributions
Water Vapor Fields
Forestry
Geodesy
Geodetic Satellites
Global Positioning System
Natural Convection
Navigation Systems
Processing
Rain
Signal Receivers
Water Vapor
Accuracy Assessment
Convective System
Gnss
Gps
Mesoscale Meteorology
Precipitation Assessment
Precipitation Intensity
Rainforest
Spatial Resolution
Temporal Variation
Water Vapor
Forestry
Processing
Rain
Satellites
Sensors
Signals
Water Vapor
Amazonia
description Understanding the complex interactions between water vapor fields and deep convection on the mesoscale requires observational networks with high spatial (kilometers) and temporal (minutes) resolution. In the equatorial tropics, where deep convection dominates the vertical distribution of the most important greenhouse substance-water-these mesoscale networks are nonexistent. Global Navigational Satellite System (GNSS) meteorological networks offer high temporal/spatial resolution precipitable water vapor, but infrastructure exigencies are great. The authors report here on very accurate precipitable water vapor (PWV) values calculated from a GNSS receiver installed on a highly nonideal Amazon rain forest flux tower. Further experiments with a mechanically oscillating platform demonstrate that errors and biases of approximately 1 mm (2%-3% of PWV) can be expected when compared with a stable reference GNSS receiver for two different geodetic grade receivers/antennas and processing methods [GPS-Inferred Positioning System (GIPSY) andGAMIT]. The implication is that stable fixed antennas are unnecessary for accurate calculation of precipitable water vapor regardless of processing techniques or geodetic grade receiver. © 2011 American Meteorological Society.
publishDate 2011
dc.date.issued.fl_str_mv 2011
dc.date.accessioned.fl_str_mv 2020-05-25T20:59:14Z
dc.date.available.fl_str_mv 2020-05-25T20:59:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.inpa.gov.br/handle/1/16175
dc.identifier.doi.none.fl_str_mv 10.1175/JTECH-D-11-00082.1
url https://repositorio.inpa.gov.br/handle/1/16175
identifier_str_mv 10.1175/JTECH-D-11-00082.1
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 28, Número 10, Pags. 1192-1198
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Journal of Atmospheric and Oceanic Technology
publisher.none.fl_str_mv Journal of Atmospheric and Oceanic Technology
dc.source.none.fl_str_mv reponame:Repositório Institucional do INPA
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Repositório Institucional do INPA
collection Repositório Institucional do INPA
bitstream.url.fl_str_mv https://repositorio.inpa.gov.br/bitstream/1/16175/1/GNSS.pdf
bitstream.checksum.fl_str_mv 78a2ba09df673e9b21d4845f2c811b8c
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repository.name.fl_str_mv Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)
repository.mail.fl_str_mv
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