Predictability of a supercell using convection-permitting ensemble simulations in Argentina
- Autores
- Álvarez Imaz, Milagros; Salio, Paola; Dillon, María Eugenia; Fita, Lluis; Carrió Carrió, Diego Saúl
- Año de publicación
- 2022
- Idioma
- español castellano
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Fil: Álvarez Imaz, Milagros. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina.
Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina.
Fil: Dillon, María Eugenia. Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelación Ambiental y de Sensores Remotos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina.
Fil: Fita, Lluis. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina.
Fil: Carrió Carrió, Diego Saúl. University of Melbourne; Australia.
Sierras de Córdoba (SDC) is a mountain range located eastward to the Andes range strongly associated with the initiation and further upscale growth of deep moist convection. The location and timing of convective initiation (CI) over this region is strongly forced by the presence of moisture availability and large scale conditions as well as local mesoscale processes. In order to analyze the predictability of the CI over SDC, six 20-member ensembles with the WRF model at convection-permitting resolution (3 km) were carried out to study a marginal supercell initiated at the SDC foothills. The experiments consisted of 24-h forecasts initialized on 00 UTC October 17, 2017, using 3-h frequency boundary conditions from 2 different global ensemble forecasting systems: the ECMWF model and the GEFS. They were built using 3 different microphysics parameterizations (WSM6, Thompson and Morrison) and 2 planetary boundary layer parameterizations (Yonsei University and Mellor Yamada Janjic). It is shown that the forecasted environment is favorable for supercell formation with the majority of the configurations. CI over the eastward side of SDC is strongly forced by the presence of instability and moisture availability as well as mesoscale circulations providing low level convergence. A strong easterly component of the wind, promoting the convergence of the wind over the mountains is noticeable in all members with convection development. - Materia
-
PREDICTABILITY
ENSEMBLE SIMULATIONS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Servicio Meteorológico Nacional
- OAI Identificador
- oai:repositorio.smn.gob.ar:20.500.12160/2381
Ver los metadatos del registro completo
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Predictability of a supercell using convection-permitting ensemble simulations in ArgentinaÁlvarez Imaz, MilagrosSalio, PaolaDillon, María EugeniaFita, LluisCarrió Carrió, Diego SaúlPREDICTABILITYENSEMBLE SIMULATIONSFil: Álvarez Imaz, Milagros. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina.Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina.Fil: Dillon, María Eugenia. Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelación Ambiental y de Sensores Remotos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina.Fil: Fita, Lluis. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina.Fil: Carrió Carrió, Diego Saúl. University of Melbourne; Australia.Sierras de Córdoba (SDC) is a mountain range located eastward to the Andes range strongly associated with the initiation and further upscale growth of deep moist convection. The location and timing of convective initiation (CI) over this region is strongly forced by the presence of moisture availability and large scale conditions as well as local mesoscale processes. In order to analyze the predictability of the CI over SDC, six 20-member ensembles with the WRF model at convection-permitting resolution (3 km) were carried out to study a marginal supercell initiated at the SDC foothills. The experiments consisted of 24-h forecasts initialized on 00 UTC October 17, 2017, using 3-h frequency boundary conditions from 2 different global ensemble forecasting systems: the ECMWF model and the GEFS. They were built using 3 different microphysics parameterizations (WSM6, Thompson and Morrison) and 2 planetary boundary layer parameterizations (Yonsei University and Mellor Yamada Janjic). It is shown that the forecasted environment is favorable for supercell formation with the majority of the configurations. CI over the eastward side of SDC is strongly forced by the presence of instability and moisture availability as well as mesoscale circulations providing low level convergence. A strong easterly component of the wind, promoting the convergence of the wind over the mountains is noticeable in all members with convection development.Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelado Ambiental y Sensores Remotos.2023-04-03T17:46:38Z2023-04-03T17:46:38Z2022-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12160/2381spainfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:El Abrigoinstname:Servicio Meteorológico Nacional2025-09-04T11:14:51Zoai:repositorio.smn.gob.ar:20.500.12160/2381instacron:SMNInstitucionalhttp://repositorio.smn.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.smn.gob.ar/oai/requestmacevedo@smn.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:39152025-09-04 11:14:51.549El Abrigo - Servicio Meteorológico Nacionalfalse |
dc.title.none.fl_str_mv |
Predictability of a supercell using convection-permitting ensemble simulations in Argentina |
title |
Predictability of a supercell using convection-permitting ensemble simulations in Argentina |
spellingShingle |
Predictability of a supercell using convection-permitting ensemble simulations in Argentina Álvarez Imaz, Milagros PREDICTABILITY ENSEMBLE SIMULATIONS |
title_short |
Predictability of a supercell using convection-permitting ensemble simulations in Argentina |
title_full |
Predictability of a supercell using convection-permitting ensemble simulations in Argentina |
title_fullStr |
Predictability of a supercell using convection-permitting ensemble simulations in Argentina |
title_full_unstemmed |
Predictability of a supercell using convection-permitting ensemble simulations in Argentina |
title_sort |
Predictability of a supercell using convection-permitting ensemble simulations in Argentina |
dc.creator.none.fl_str_mv |
Álvarez Imaz, Milagros Salio, Paola Dillon, María Eugenia Fita, Lluis Carrió Carrió, Diego Saúl |
author |
Álvarez Imaz, Milagros |
author_facet |
Álvarez Imaz, Milagros Salio, Paola Dillon, María Eugenia Fita, Lluis Carrió Carrió, Diego Saúl |
author_role |
author |
author2 |
Salio, Paola Dillon, María Eugenia Fita, Lluis Carrió Carrió, Diego Saúl |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
PREDICTABILITY ENSEMBLE SIMULATIONS |
topic |
PREDICTABILITY ENSEMBLE SIMULATIONS |
dc.description.none.fl_txt_mv |
Fil: Álvarez Imaz, Milagros. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina. Fil: Dillon, María Eugenia. Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelación Ambiental y de Sensores Remotos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Fil: Fita, Lluis. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Fil: Carrió Carrió, Diego Saúl. University of Melbourne; Australia. Sierras de Córdoba (SDC) is a mountain range located eastward to the Andes range strongly associated with the initiation and further upscale growth of deep moist convection. The location and timing of convective initiation (CI) over this region is strongly forced by the presence of moisture availability and large scale conditions as well as local mesoscale processes. In order to analyze the predictability of the CI over SDC, six 20-member ensembles with the WRF model at convection-permitting resolution (3 km) were carried out to study a marginal supercell initiated at the SDC foothills. The experiments consisted of 24-h forecasts initialized on 00 UTC October 17, 2017, using 3-h frequency boundary conditions from 2 different global ensemble forecasting systems: the ECMWF model and the GEFS. They were built using 3 different microphysics parameterizations (WSM6, Thompson and Morrison) and 2 planetary boundary layer parameterizations (Yonsei University and Mellor Yamada Janjic). It is shown that the forecasted environment is favorable for supercell formation with the majority of the configurations. CI over the eastward side of SDC is strongly forced by the presence of instability and moisture availability as well as mesoscale circulations providing low level convergence. A strong easterly component of the wind, promoting the convergence of the wind over the mountains is noticeable in all members with convection development. |
description |
Fil: Álvarez Imaz, Milagros. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09 2023-04-03T17:46:38Z 2023-04-03T17:46:38Z |
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info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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http://hdl.handle.net/20.500.12160/2381 |
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http://hdl.handle.net/20.500.12160/2381 |
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https://creativecommons.org/licenses/by/2.5/ar/ |
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Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelado Ambiental y Sensores Remotos. |
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Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelado Ambiental y Sensores Remotos. |
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