Microburst detection with the WRF model: effective resolution and forecasting indices

Microbursts are meteorological phenomena in the lower troposphere which can produce damaging surface winds and pose a severe risk to aircraft flying close to the ground. As these events usually span less than 4 km and 15 min, the spatiotemporal resolution is a challenge for numerical simulations. Al...

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Detalhes bibliográficos
Autores: Bolgiani, Pedro, Santos Muñoz, Daniel, Fernández González, Sergio, Sastre Marugán, Mariano, Valero Rodríguez, Francisco, Martín, María Luisa
Tipo de documento: artigo
Data de publicação:2020
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositório:Docta Complutense
Idioma:inglês
OAI Identifier:oai:docta.ucm.es:20.500.14352/6540
Acesso em linha:https://hdl.handle.net/20.500.14352/6540
Access Level:Acceso aberto
Palavra-chave:52
Wet microburst
Downburst
Wather
Wind
Outflows
Impact
Física atmosférica
2501 Ciencias de la Atmósfera
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repository_id_str
spelling Microburst detection with the WRF model: effective resolution and forecasting indicesBolgiani, PedroSantos Muñoz, DanielFernández González, SergioSastre Marugán, MarianoValero Rodríguez, FranciscoMartín, María Luisa52Wet microburstDownburstWatherWindOutflowsImpactFísica atmosférica2501 Ciencias de la AtmósferaMicrobursts are meteorological phenomena in the lower troposphere which can produce damaging surface winds and pose a severe risk to aircraft flying close to the ground. As these events usually span less than 4 km and 15 min, the spatiotemporal resolution is a challenge for numerical simulations. Although research of microburst using operative mesoscale models is scarce, the Weather Research and Forecasting (WRF) model has been used in the diagnosis of this phenomenon. In this paper, such model is used to simulate several microburst conducive days using two different boundary conditions. The energy spectra of the simulations are computed to evaluate the effective resolution of the model. The results are in line with previous studies and produce no notable differences among the boundary conditions. Nonetheless, the energy spectra show an overenergetic troposphere at microscale resolutions, rendering the effective resolution inadequate for microburst forecasting using the simulated physics variables. Thus, mesoscale indices are analyzed as a prognostic tool. The wind index, the wet microburst severity index and the microburst windspeed potential index do not show high forecasting performances, even though improving the results of climatology. Also, notable differences among the boundary conditions can be seen. The most consistent results are achieved by the wet microburst severity index.American Geophysical UnionUniversidad Complutense de Madrid20202020-07-2720202020-07-27journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/6540reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttps://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/65402026-06-02T12:44:21Z
dc.title.none.fl_str_mv Microburst detection with the WRF model: effective resolution and forecasting indices
title Microburst detection with the WRF model: effective resolution and forecasting indices
spellingShingle Microburst detection with the WRF model: effective resolution and forecasting indices
Bolgiani, Pedro
52
Wet microburst
Downburst
Wather
Wind
Outflows
Impact
Física atmosférica
2501 Ciencias de la Atmósfera
title_short Microburst detection with the WRF model: effective resolution and forecasting indices
title_full Microburst detection with the WRF model: effective resolution and forecasting indices
title_fullStr Microburst detection with the WRF model: effective resolution and forecasting indices
title_full_unstemmed Microburst detection with the WRF model: effective resolution and forecasting indices
title_sort Microburst detection with the WRF model: effective resolution and forecasting indices
dc.creator.none.fl_str_mv Bolgiani, Pedro
Santos Muñoz, Daniel
Fernández González, Sergio
Sastre Marugán, Mariano
Valero Rodríguez, Francisco
Martín, María Luisa
author Bolgiani, Pedro
author_facet Bolgiani, Pedro
Santos Muñoz, Daniel
Fernández González, Sergio
Sastre Marugán, Mariano
Valero Rodríguez, Francisco
Martín, María Luisa
author_role author
author2 Santos Muñoz, Daniel
Fernández González, Sergio
Sastre Marugán, Mariano
Valero Rodríguez, Francisco
Martín, María Luisa
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 52
Wet microburst
Downburst
Wather
Wind
Outflows
Impact
Física atmosférica
2501 Ciencias de la Atmósfera
topic 52
Wet microburst
Downburst
Wather
Wind
Outflows
Impact
Física atmosférica
2501 Ciencias de la Atmósfera
description Microbursts are meteorological phenomena in the lower troposphere which can produce damaging surface winds and pose a severe risk to aircraft flying close to the ground. As these events usually span less than 4 km and 15 min, the spatiotemporal resolution is a challenge for numerical simulations. Although research of microburst using operative mesoscale models is scarce, the Weather Research and Forecasting (WRF) model has been used in the diagnosis of this phenomenon. In this paper, such model is used to simulate several microburst conducive days using two different boundary conditions. The energy spectra of the simulations are computed to evaluate the effective resolution of the model. The results are in line with previous studies and produce no notable differences among the boundary conditions. Nonetheless, the energy spectra show an overenergetic troposphere at microscale resolutions, rendering the effective resolution inadequate for microburst forecasting using the simulated physics variables. Thus, mesoscale indices are analyzed as a prognostic tool. The wind index, the wet microburst severity index and the microburst windspeed potential index do not show high forecasting performances, even though improving the results of climatology. Also, notable differences among the boundary conditions can be seen. The most consistent results are achieved by the wet microburst severity index.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-07-27
2020
2020-07-27
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/6540
url https://hdl.handle.net/20.500.14352/6540
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
https://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
https://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Geophysical Union
publisher.none.fl_str_mv American Geophysical Union
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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