Simulating silver iodine dispersion with WRF: hail suppression system analysis
- Autores
- Cremades, Pablo Gabriel; Allende, David Gabriel; Puliafito, Salvador Enrique
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The aim of this article is to study silver iodine (AgI) dispersion in Mendoza using the Weather Research and Forcasting model (WRF). Crystalline structure of AgI is similar to that of ice, allowing it to induce freezing by a process known as heterogeneous nucleation. Therefore, AgI is used to seed clouds in hail suppression systems. In particular, in Mendoza, cloud seeding is done through ground generators located in the western part of the province, were most storm cells are formed. The efficiency of this system has not been scientifically proven. This paper provides a methodology to include AgI sources in WRF in order to study its dispersion in the atmosphere. Because of the physical characteristics of ground generators, they are modeled as area sources using the Fire module of WRF. This module has been design to simulate biomass burning. We show how to simulate AgI generators through definition of a special fuel behavior model to use with WRF-Fire.Thorough dispersion modeling it is possible to see if AgI reaches storm cells. Furthermore, with simulation results it is possible to choose the best location for ground AgI generators. This paper shows simulation results for the hail suppression system currently working in Mendoza and for other possible scenarios using different locations for ground generators and different number of them.
Fil: Cremades, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
Fil: Allende, David Gabriel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina
Fil: Puliafito, Salvador Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina - Materia
-
Hail suppression
WRF-Fire - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/3604
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Simulating silver iodine dispersion with WRF: hail suppression system analysisCremades, Pablo GabrielAllende, David GabrielPuliafito, Salvador EnriqueHail suppressionWRF-Firehttps://purl.org/becyt/ford/2.3https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The aim of this article is to study silver iodine (AgI) dispersion in Mendoza using the Weather Research and Forcasting model (WRF). Crystalline structure of AgI is similar to that of ice, allowing it to induce freezing by a process known as heterogeneous nucleation. Therefore, AgI is used to seed clouds in hail suppression systems. In particular, in Mendoza, cloud seeding is done through ground generators located in the western part of the province, were most storm cells are formed. The efficiency of this system has not been scientifically proven. This paper provides a methodology to include AgI sources in WRF in order to study its dispersion in the atmosphere. Because of the physical characteristics of ground generators, they are modeled as area sources using the Fire module of WRF. This module has been design to simulate biomass burning. We show how to simulate AgI generators through definition of a special fuel behavior model to use with WRF-Fire.Thorough dispersion modeling it is possible to see if AgI reaches storm cells. Furthermore, with simulation results it is possible to choose the best location for ground AgI generators. This paper shows simulation results for the hail suppression system currently working in Mendoza and for other possible scenarios using different locations for ground generators and different number of them.Fil: Cremades, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Allende, David Gabriel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; ArgentinaFil: Puliafito, Salvador Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaAsociación Argentina de Mecánica Computacional2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/3604Cremades, Pablo Gabriel; Allende, David Gabriel; Puliafito, Salvador Enrique; Simulating silver iodine dispersion with WRF: hail suppression system analysis; Asociación Argentina de Mecánica Computacional; Mecanica Computacional; 32; 33; 11-2013; 2741-27551666-6070enginfo:eu-repo/semantics/altIdentifier/url/http://www.cimec.org.ar/ojs/index.php/mc/article/view/4516info:eu-repo/semantics/altIdentifier/issn/1666-6070info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:26:28Zoai:ri.conicet.gov.ar:11336/3604instacron: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 10:26:28.955CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Simulating silver iodine dispersion with WRF: hail suppression system analysis |
title |
Simulating silver iodine dispersion with WRF: hail suppression system analysis |
spellingShingle |
Simulating silver iodine dispersion with WRF: hail suppression system analysis Cremades, Pablo Gabriel Hail suppression WRF-Fire |
title_short |
Simulating silver iodine dispersion with WRF: hail suppression system analysis |
title_full |
Simulating silver iodine dispersion with WRF: hail suppression system analysis |
title_fullStr |
Simulating silver iodine dispersion with WRF: hail suppression system analysis |
title_full_unstemmed |
Simulating silver iodine dispersion with WRF: hail suppression system analysis |
title_sort |
Simulating silver iodine dispersion with WRF: hail suppression system analysis |
dc.creator.none.fl_str_mv |
Cremades, Pablo Gabriel Allende, David Gabriel Puliafito, Salvador Enrique |
author |
Cremades, Pablo Gabriel |
author_facet |
Cremades, Pablo Gabriel Allende, David Gabriel Puliafito, Salvador Enrique |
author_role |
author |
author2 |
Allende, David Gabriel Puliafito, Salvador Enrique |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Hail suppression WRF-Fire |
topic |
Hail suppression WRF-Fire |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.3 https://purl.org/becyt/ford/2 https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The aim of this article is to study silver iodine (AgI) dispersion in Mendoza using the Weather Research and Forcasting model (WRF). Crystalline structure of AgI is similar to that of ice, allowing it to induce freezing by a process known as heterogeneous nucleation. Therefore, AgI is used to seed clouds in hail suppression systems. In particular, in Mendoza, cloud seeding is done through ground generators located in the western part of the province, were most storm cells are formed. The efficiency of this system has not been scientifically proven. This paper provides a methodology to include AgI sources in WRF in order to study its dispersion in the atmosphere. Because of the physical characteristics of ground generators, they are modeled as area sources using the Fire module of WRF. This module has been design to simulate biomass burning. We show how to simulate AgI generators through definition of a special fuel behavior model to use with WRF-Fire.Thorough dispersion modeling it is possible to see if AgI reaches storm cells. Furthermore, with simulation results it is possible to choose the best location for ground AgI generators. This paper shows simulation results for the hail suppression system currently working in Mendoza and for other possible scenarios using different locations for ground generators and different number of them. Fil: Cremades, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina Fil: Allende, David Gabriel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina Fil: Puliafito, Salvador Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina |
description |
The aim of this article is to study silver iodine (AgI) dispersion in Mendoza using the Weather Research and Forcasting model (WRF). Crystalline structure of AgI is similar to that of ice, allowing it to induce freezing by a process known as heterogeneous nucleation. Therefore, AgI is used to seed clouds in hail suppression systems. In particular, in Mendoza, cloud seeding is done through ground generators located in the western part of the province, were most storm cells are formed. The efficiency of this system has not been scientifically proven. This paper provides a methodology to include AgI sources in WRF in order to study its dispersion in the atmosphere. Because of the physical characteristics of ground generators, they are modeled as area sources using the Fire module of WRF. This module has been design to simulate biomass burning. We show how to simulate AgI generators through definition of a special fuel behavior model to use with WRF-Fire.Thorough dispersion modeling it is possible to see if AgI reaches storm cells. Furthermore, with simulation results it is possible to choose the best location for ground AgI generators. This paper shows simulation results for the hail suppression system currently working in Mendoza and for other possible scenarios using different locations for ground generators and different number of them. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-11 |
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/11336/3604 Cremades, Pablo Gabriel; Allende, David Gabriel; Puliafito, Salvador Enrique; Simulating silver iodine dispersion with WRF: hail suppression system analysis; Asociación Argentina de Mecánica Computacional; Mecanica Computacional; 32; 33; 11-2013; 2741-2755 1666-6070 |
url |
http://hdl.handle.net/11336/3604 |
identifier_str_mv |
Cremades, Pablo Gabriel; Allende, David Gabriel; Puliafito, Salvador Enrique; Simulating silver iodine dispersion with WRF: hail suppression system analysis; Asociación Argentina de Mecánica Computacional; Mecanica Computacional; 32; 33; 11-2013; 2741-2755 1666-6070 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.cimec.org.ar/ojs/index.php/mc/article/view/4516 info:eu-repo/semantics/altIdentifier/issn/1666-6070 |
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 |
dc.publisher.none.fl_str_mv |
Asociación Argentina de Mecánica Computacional |
publisher.none.fl_str_mv |
Asociación Argentina de Mecánica Computacional |
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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13.070432 |