Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event

Autores
Graffigna, Victoria; Hernández-pajares, Manuel; Azpilicueta, Francisco Javier; Gende, Mauricio Alfredo
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
GNSS meteorology is today one of the most growing technologies to monitor severe weather events. In this paper, we present the usage of 160 GPS reference stations over the period of 14 days to monitor and track Hurricane Harvey, which struck Texas in August 2017. We estimate the Zenith Wet Delay (ZWD) and the tropospheric gradients with 30 s interval using TOMION v2 software and carry out the processing in Precise Point Positioning (PPP) mode. We study the relationship of these parameters with atmospheric variables extracted from Tropical Rainfall Measuring Mission (TRMM) satellite mission and climate reanalysis model ERA5. This research finds that the ZWD shows patterns related to the rainfall rate and to the location of the hurricane. We also find that the tropospheric gradients are correlated with water vapor gradients before and after the hurricane, and with the wind and the pressure gradients only after the hurricane. This study also shows a new finding regarding the spectral distribution of the gradients, with a clear diurnal period present, which is also found on the ZWD itself. This kind of study approaches the GNSS meteorology to the increasing requirements of meteorologist in terms of monitoring severe weather events.
Fil: Graffigna, Victoria. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Hernández-pajares, Manuel. Universidad Politécnica de Catalunya; España
Fil: Azpilicueta, Francisco Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina
Fil: Gende, Mauricio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina
Materia
GNSS METEOROLOGY
MARINE DISASTERS
TROPOSPHERIC GRADIENTS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/215138
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather EventGraffigna, VictoriaHernández-pajares, ManuelAzpilicueta, Francisco JavierGende, Mauricio AlfredoGNSS METEOROLOGYMARINE DISASTERSTROPOSPHERIC GRADIENTShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1GNSS meteorology is today one of the most growing technologies to monitor severe weather events. In this paper, we present the usage of 160 GPS reference stations over the period of 14 days to monitor and track Hurricane Harvey, which struck Texas in August 2017. We estimate the Zenith Wet Delay (ZWD) and the tropospheric gradients with 30 s interval using TOMION v2 software and carry out the processing in Precise Point Positioning (PPP) mode. We study the relationship of these parameters with atmospheric variables extracted from Tropical Rainfall Measuring Mission (TRMM) satellite mission and climate reanalysis model ERA5. This research finds that the ZWD shows patterns related to the rainfall rate and to the location of the hurricane. We also find that the tropospheric gradients are correlated with water vapor gradients before and after the hurricane, and with the wind and the pressure gradients only after the hurricane. This study also shows a new finding regarding the spectral distribution of the gradients, with a clear diurnal period present, which is also found on the ZWD itself. This kind of study approaches the GNSS meteorology to the increasing requirements of meteorologist in terms of monitoring severe weather events.Fil: Graffigna, Victoria. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Hernández-pajares, Manuel. Universidad Politécnica de Catalunya; EspañaFil: Azpilicueta, Francisco Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; ArgentinaFil: Gende, Mauricio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; ArgentinaMDPI2022-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215138Graffigna, Victoria; Hernández-pajares, Manuel; Azpilicueta, Francisco Javier; Gende, Mauricio Alfredo; Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event; MDPI; Remote Sensing; 14; 4; 2-2022; 1-142072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/14/4/888info:eu-repo/semantics/altIdentifier/doi/10.3390/rs14040888info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:37:11Zoai:ri.conicet.gov.ar:11336/215138instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:37:11.437CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
title Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
spellingShingle Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
Graffigna, Victoria
GNSS METEOROLOGY
MARINE DISASTERS
TROPOSPHERIC GRADIENTS
title_short Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
title_full Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
title_fullStr Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
title_full_unstemmed Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
title_sort Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event
dc.creator.none.fl_str_mv Graffigna, Victoria
Hernández-pajares, Manuel
Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
author Graffigna, Victoria
author_facet Graffigna, Victoria
Hernández-pajares, Manuel
Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
author_role author
author2 Hernández-pajares, Manuel
Azpilicueta, Francisco Javier
Gende, Mauricio Alfredo
author2_role author
author
author
dc.subject.none.fl_str_mv GNSS METEOROLOGY
MARINE DISASTERS
TROPOSPHERIC GRADIENTS
topic GNSS METEOROLOGY
MARINE DISASTERS
TROPOSPHERIC GRADIENTS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv GNSS meteorology is today one of the most growing technologies to monitor severe weather events. In this paper, we present the usage of 160 GPS reference stations over the period of 14 days to monitor and track Hurricane Harvey, which struck Texas in August 2017. We estimate the Zenith Wet Delay (ZWD) and the tropospheric gradients with 30 s interval using TOMION v2 software and carry out the processing in Precise Point Positioning (PPP) mode. We study the relationship of these parameters with atmospheric variables extracted from Tropical Rainfall Measuring Mission (TRMM) satellite mission and climate reanalysis model ERA5. This research finds that the ZWD shows patterns related to the rainfall rate and to the location of the hurricane. We also find that the tropospheric gradients are correlated with water vapor gradients before and after the hurricane, and with the wind and the pressure gradients only after the hurricane. This study also shows a new finding regarding the spectral distribution of the gradients, with a clear diurnal period present, which is also found on the ZWD itself. This kind of study approaches the GNSS meteorology to the increasing requirements of meteorologist in terms of monitoring severe weather events.
Fil: Graffigna, Victoria. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Hernández-pajares, Manuel. Universidad Politécnica de Catalunya; España
Fil: Azpilicueta, Francisco Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina
Fil: Gende, Mauricio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina
description GNSS meteorology is today one of the most growing technologies to monitor severe weather events. In this paper, we present the usage of 160 GPS reference stations over the period of 14 days to monitor and track Hurricane Harvey, which struck Texas in August 2017. We estimate the Zenith Wet Delay (ZWD) and the tropospheric gradients with 30 s interval using TOMION v2 software and carry out the processing in Precise Point Positioning (PPP) mode. We study the relationship of these parameters with atmospheric variables extracted from Tropical Rainfall Measuring Mission (TRMM) satellite mission and climate reanalysis model ERA5. This research finds that the ZWD shows patterns related to the rainfall rate and to the location of the hurricane. We also find that the tropospheric gradients are correlated with water vapor gradients before and after the hurricane, and with the wind and the pressure gradients only after the hurricane. This study also shows a new finding regarding the spectral distribution of the gradients, with a clear diurnal period present, which is also found on the ZWD itself. This kind of study approaches the GNSS meteorology to the increasing requirements of meteorologist in terms of monitoring severe weather events.
publishDate 2022
dc.date.none.fl_str_mv 2022-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/215138
Graffigna, Victoria; Hernández-pajares, Manuel; Azpilicueta, Francisco Javier; Gende, Mauricio Alfredo; Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event; MDPI; Remote Sensing; 14; 4; 2-2022; 1-14
2072-4292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/215138
identifier_str_mv Graffigna, Victoria; Hernández-pajares, Manuel; Azpilicueta, Francisco Javier; Gende, Mauricio Alfredo; Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event; MDPI; Remote Sensing; 14; 4; 2-2022; 1-14
2072-4292
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/14/4/888
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs14040888
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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