Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia

Aircraft turbulence is one of the most dangerous meteorological phenomena that can affect aviation safety. This study is focused on the turbulence associated to mountain lee waves in the vicinity of Adolfo Suárez Madrid-Barajas airport (Spain). Sixty-eight mountain lee waves events are selected to s...

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Detalles Bibliográficos
Autores: Díaz Fernández, Javier, Bolgiani, P., Sastre Marugán, Mariano, Santos-Muñoz, D., Valero Rodríguez, Francisco, Farrán, J.I., Martín, M.L.
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/71537
Acceso en línea:https://hdl.handle.net/20.500.14352/71537
Access Level:acceso abierto
Palabra clave:550.3
Central Iberian Zone
Decision trees
Turbulence
Weather forecasting
Aviation safety
Barajas airport
Eddy dissipation rate
HARMONIE-AROME
Lee waves
Meteorological phenomena
Mountain wave
Numerical weather prediction models
Weather research and forecasting
WRF-ARW
aircraft
airport
climate prediction
dissipation
eddy
turbulence
Landforms
Aeronáutica
Geofísica
Meteorología (Física)
3301 Ingeniería y Tecnología Aeronáuticas
2507 Geofísica
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oai_identifier_str oai:docta.ucm.es:20.500.14352/71537
network_acronym_str ES
network_name_str España
repository_id_str
spelling Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central IberiaDíaz Fernández, JavierBolgiani, P.Sastre Marugán, MarianoSantos-Muñoz, D.Valero Rodríguez, FranciscoFarrán, J.I.Martín, M.L.550.3Central Iberian ZoneDecision treesTurbulenceWeather forecastingAviation safetyBarajas airportEddy dissipation rateHARMONIE-AROMELee wavesMeteorological phenomenaMountain waveNumerical weather prediction modelsWeather research and forecastingWRF-ARWaircraftairportclimate predictiondissipationeddyturbulenceLandformsAeronáuticaGeofísicaMeteorología (Física)3301 Ingeniería y Tecnología Aeronáuticas2507 GeofísicaAircraft turbulence is one of the most dangerous meteorological phenomena that can affect aviation safety. This study is focused on the turbulence associated to mountain lee waves in the vicinity of Adolfo Suárez Madrid-Barajas airport (Spain). Sixty-eight mountain lee waves events are selected to simulate the turbulence with the Weather Research and Forecasting (WRF-ARW) and the HARMONIE-AROME numerical weather prediction models. To study and characterize the turbulence associated, the vertical wind speeds are selected as an important variable and the Eddy Dissipation Rate is estimated. Both models have properly simulated the turbulence and the clear air turbulence, obtaining higher values of turbulence intensity by WRF-ARW than HARMONIE-AROME in the mountain lee waves events. Finally, these results are used to enhance a mountain wave warning decision tree, including the turbulence warning which is validated through several turbulence reports.ElsevierUniversidad Complutense de Madrid20222022-03-1120222022-03-11journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/71537reponame: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:20.500.14352/715372026-06-02T12:44:21Z
dc.title.none.fl_str_mv Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
title Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
spellingShingle Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
Díaz Fernández, Javier
550.3
Central Iberian Zone
Decision trees
Turbulence
Weather forecasting
Aviation safety
Barajas airport
Eddy dissipation rate
HARMONIE-AROME
Lee waves
Meteorological phenomena
Mountain wave
Numerical weather prediction models
Weather research and forecasting
WRF-ARW
aircraft
airport
climate prediction
dissipation
eddy
turbulence
Landforms
Aeronáutica
Geofísica
Meteorología (Física)
3301 Ingeniería y Tecnología Aeronáuticas
2507 Geofísica
title_short Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
title_full Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
title_fullStr Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
title_full_unstemmed Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
title_sort Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
dc.creator.none.fl_str_mv Díaz Fernández, Javier
Bolgiani, P.
Sastre Marugán, Mariano
Santos-Muñoz, D.
Valero Rodríguez, Francisco
Farrán, J.I.
Martín, M.L.
author Díaz Fernández, Javier
author_facet Díaz Fernández, Javier
Bolgiani, P.
Sastre Marugán, Mariano
Santos-Muñoz, D.
Valero Rodríguez, Francisco
Farrán, J.I.
Martín, M.L.
author_role author
author2 Bolgiani, P.
Sastre Marugán, Mariano
Santos-Muñoz, D.
Valero Rodríguez, Francisco
Farrán, J.I.
Martín, M.L.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 550.3
Central Iberian Zone
Decision trees
Turbulence
Weather forecasting
Aviation safety
Barajas airport
Eddy dissipation rate
HARMONIE-AROME
Lee waves
Meteorological phenomena
Mountain wave
Numerical weather prediction models
Weather research and forecasting
WRF-ARW
aircraft
airport
climate prediction
dissipation
eddy
turbulence
Landforms
Aeronáutica
Geofísica
Meteorología (Física)
3301 Ingeniería y Tecnología Aeronáuticas
2507 Geofísica
topic 550.3
Central Iberian Zone
Decision trees
Turbulence
Weather forecasting
Aviation safety
Barajas airport
Eddy dissipation rate
HARMONIE-AROME
Lee waves
Meteorological phenomena
Mountain wave
Numerical weather prediction models
Weather research and forecasting
WRF-ARW
aircraft
airport
climate prediction
dissipation
eddy
turbulence
Landforms
Aeronáutica
Geofísica
Meteorología (Física)
3301 Ingeniería y Tecnología Aeronáuticas
2507 Geofísica
description Aircraft turbulence is one of the most dangerous meteorological phenomena that can affect aviation safety. This study is focused on the turbulence associated to mountain lee waves in the vicinity of Adolfo Suárez Madrid-Barajas airport (Spain). Sixty-eight mountain lee waves events are selected to simulate the turbulence with the Weather Research and Forecasting (WRF-ARW) and the HARMONIE-AROME numerical weather prediction models. To study and characterize the turbulence associated, the vertical wind speeds are selected as an important variable and the Eddy Dissipation Rate is estimated. Both models have properly simulated the turbulence and the clear air turbulence, obtaining higher values of turbulence intensity by WRF-ARW than HARMONIE-AROME in the mountain lee waves events. Finally, these results are used to enhance a mountain wave warning decision tree, including the turbulence warning which is validated through several turbulence reports.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-03-11
2022
2022-03-11
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/20.500.14352/71537
url https://hdl.handle.net/20.500.14352/71537
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 Elsevier
publisher.none.fl_str_mv Elsevier
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
_version_ 1869402930901155840
score 15,300719

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