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
El Abrigo
Institución
Servicio Meteorológico Nacional
OAI Identificador
oai:repositorio.smn.gob.ar:20.500.12160/2381

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spelling 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
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12160/2381
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dc.publisher.none.fl_str_mv Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelado Ambiental y Sensores Remotos.
publisher.none.fl_str_mv 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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instname:Servicio Meteorológico Nacional
reponame_str El Abrigo
collection El Abrigo
instname_str Servicio Meteorológico Nacional
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