A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares

Autores
Puliafito, Enrique Salvador; Allende, David; Cremades, Pablo; Mulena, Gabriela Celeste
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Annually an average of 10% of the agricultural production in the Mendoza Province in western Argentina is lost as a result of severe hailstorms, and approximately 20% of the agricultural area receives hail precipitation. Operational hail suppression programs have been based in Mendoza since 1970’, designed to lessen the economic impact in the vineyards. Lately cloud seeding program have been done with planes and ground generators. This modeling study is designed to assess the evidence of silver iodide dispersion in order to evaluate if potential clouds are reached and secondarily to optimize the location of such generators. In that sense, 3-D simulations with the version 3.4 of the Weather Research and Forecasting model with Chemistry (WRF/Chem) are conducted for several typical hailstorms, which peak activity commonly occurs near sunset (approximately 0000 UTC, or 2100 local time), and storms lasting past local midnight. Three nested modeling domains are set to downscale the physical properties of the atmosphere in the predominant storm generation zones. The model physical and chemical parameterizations were previously tested and found to produce the more accurate estimation of temperature, humidity and wind fields at surface and upper-air levels. The emission sources are properly characterized with emission rates, temperatures and velocities from direct measurements on the generators. Finally, silver iodide mass concentrations at different heights and dry deposition rates are estimated with the modeling system for the entire modeling domain. Results of the model are compared to TITAN radar echo reflectivity’s.
Fil: Puliafito, Enrique Salvador. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; Argentina
Fil: Allende, David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Cremades, Pablo. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; Argentina
Fil: Mulena, Gabriela Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; Argentina
7th European Conference on Severe Storms
Helsinki
Finlandia
European Severe Storms Laboratory
Finnish Meteorological Institute
Materia
MENDOZA PROVINCE
WRF
TITAN
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/238280
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A modeling study to evaluate the silver iodide dispersion from ground generators seeding flaresPuliafito, Enrique SalvadorAllende, DavidCremades, PabloMulena, Gabriela CelesteMENDOZA PROVINCEWRFTITANhttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2Annually an average of 10% of the agricultural production in the Mendoza Province in western Argentina is lost as a result of severe hailstorms, and approximately 20% of the agricultural area receives hail precipitation. Operational hail suppression programs have been based in Mendoza since 1970’, designed to lessen the economic impact in the vineyards. Lately cloud seeding program have been done with planes and ground generators. This modeling study is designed to assess the evidence of silver iodide dispersion in order to evaluate if potential clouds are reached and secondarily to optimize the location of such generators. In that sense, 3-D simulations with the version 3.4 of the Weather Research and Forecasting model with Chemistry (WRF/Chem) are conducted for several typical hailstorms, which peak activity commonly occurs near sunset (approximately 0000 UTC, or 2100 local time), and storms lasting past local midnight. Three nested modeling domains are set to downscale the physical properties of the atmosphere in the predominant storm generation zones. The model physical and chemical parameterizations were previously tested and found to produce the more accurate estimation of temperature, humidity and wind fields at surface and upper-air levels. The emission sources are properly characterized with emission rates, temperatures and velocities from direct measurements on the generators. Finally, silver iodide mass concentrations at different heights and dry deposition rates are estimated with the modeling system for the entire modeling domain. Results of the model are compared to TITAN radar echo reflectivity’s.Fil: Puliafito, Enrique Salvador. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; ArgentinaFil: Allende, David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Cremades, Pablo. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; ArgentinaFil: Mulena, Gabriela Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; Argentina7th European Conference on Severe StormsHelsinkiFinlandiaEuropean Severe Storms LaboratoryFinnish Meteorological InstituteEuropean Severe Storms Laboratory2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/238280A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares; 7th European Conference on Severe Storms; Helsinki; Finlandia; 2013; 1-1CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.essl.org/ECSS/2013/programme/abstracts/papers.html#A94Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:56:49Zoai:ri.conicet.gov.ar:11336/238280instacron: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:34982025-09-29 09:56:49.681CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares
title A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares
spellingShingle A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares
Puliafito, Enrique Salvador
MENDOZA PROVINCE
WRF
TITAN
title_short A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares
title_full A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares
title_fullStr A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares
title_full_unstemmed A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares
title_sort A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares
dc.creator.none.fl_str_mv Puliafito, Enrique Salvador
Allende, David
Cremades, Pablo
Mulena, Gabriela Celeste
author Puliafito, Enrique Salvador
author_facet Puliafito, Enrique Salvador
Allende, David
Cremades, Pablo
Mulena, Gabriela Celeste
author_role author
author2 Allende, David
Cremades, Pablo
Mulena, Gabriela Celeste
author2_role author
author
author
dc.subject.none.fl_str_mv MENDOZA PROVINCE
WRF
TITAN
topic MENDOZA PROVINCE
WRF
TITAN
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Annually an average of 10% of the agricultural production in the Mendoza Province in western Argentina is lost as a result of severe hailstorms, and approximately 20% of the agricultural area receives hail precipitation. Operational hail suppression programs have been based in Mendoza since 1970’, designed to lessen the economic impact in the vineyards. Lately cloud seeding program have been done with planes and ground generators. This modeling study is designed to assess the evidence of silver iodide dispersion in order to evaluate if potential clouds are reached and secondarily to optimize the location of such generators. In that sense, 3-D simulations with the version 3.4 of the Weather Research and Forecasting model with Chemistry (WRF/Chem) are conducted for several typical hailstorms, which peak activity commonly occurs near sunset (approximately 0000 UTC, or 2100 local time), and storms lasting past local midnight. Three nested modeling domains are set to downscale the physical properties of the atmosphere in the predominant storm generation zones. The model physical and chemical parameterizations were previously tested and found to produce the more accurate estimation of temperature, humidity and wind fields at surface and upper-air levels. The emission sources are properly characterized with emission rates, temperatures and velocities from direct measurements on the generators. Finally, silver iodide mass concentrations at different heights and dry deposition rates are estimated with the modeling system for the entire modeling domain. Results of the model are compared to TITAN radar echo reflectivity’s.
Fil: Puliafito, Enrique Salvador. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; Argentina
Fil: Allende, David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Cremades, Pablo. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; Argentina
Fil: Mulena, Gabriela Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Reg.mendoza. Centro de Estudio Para El Desarrollo Sustentable; Argentina
7th European Conference on Severe Storms
Helsinki
Finlandia
European Severe Storms Laboratory
Finnish Meteorological Institute
description Annually an average of 10% of the agricultural production in the Mendoza Province in western Argentina is lost as a result of severe hailstorms, and approximately 20% of the agricultural area receives hail precipitation. Operational hail suppression programs have been based in Mendoza since 1970’, designed to lessen the economic impact in the vineyards. Lately cloud seeding program have been done with planes and ground generators. This modeling study is designed to assess the evidence of silver iodide dispersion in order to evaluate if potential clouds are reached and secondarily to optimize the location of such generators. In that sense, 3-D simulations with the version 3.4 of the Weather Research and Forecasting model with Chemistry (WRF/Chem) are conducted for several typical hailstorms, which peak activity commonly occurs near sunset (approximately 0000 UTC, or 2100 local time), and storms lasting past local midnight. Three nested modeling domains are set to downscale the physical properties of the atmosphere in the predominant storm generation zones. The model physical and chemical parameterizations were previously tested and found to produce the more accurate estimation of temperature, humidity and wind fields at surface and upper-air levels. The emission sources are properly characterized with emission rates, temperatures and velocities from direct measurements on the generators. Finally, silver iodide mass concentrations at different heights and dry deposition rates are estimated with the modeling system for the entire modeling domain. Results of the model are compared to TITAN radar echo reflectivity’s.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/238280
A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares; 7th European Conference on Severe Storms; Helsinki; Finlandia; 2013; 1-1
CONICET Digital
CONICET
url http://hdl.handle.net/11336/238280
identifier_str_mv A modeling study to evaluate the silver iodide dispersion from ground generators seeding flares; 7th European Conference on Severe Storms; Helsinki; Finlandia; 2013; 1-1
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.essl.org/ECSS/2013/programme/abstracts/papers.html#A94
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv European Severe Storms Laboratory
publisher.none.fl_str_mv European Severe Storms Laboratory
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 13.070432

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