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

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dc.contributor.authorDíaz Fernández, Javier
dc.contributor.authorBolgiani, P.
dc.contributor.authorSastre Marugán, Mariano
dc.contributor.authorSantos-Muñoz, D.
dc.contributor.authorValero Rodríguez, Francisco
dc.contributor.authorFarrán, J.I.
dc.contributor.authorMartín, M.L.
dc.date.accessioned2023-06-22T10:44:01Z
dc.date.available2023-06-22T10:44:01Z
dc.date.issued2022-03-11
dc.descriptionCRUE-CSIC (Acuerdos Transformativos 2022). © 2022 The Authors. This work was partially supported by research projects PID2019-105306RB-I00 (IBERCANES project), CGL2016-78702-C2-1-R and CGL2016-78702-C2-2-R (SAFEFLIGHT project), FEI-EU-17-16 and SPESMART AND SPESVALE (ECMWF Special Projects). J. Díaz-Fernández acknowledges the grant supported by the Ministerio de Ciencia, Innovación y Universidades (FPI program BES-2017-080025).
dc.description.abstractAircraft 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.
dc.description.departmentDepto. de Física de la Tierra y Astrofísica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/72534
dc.identifier.doi10.1016/j.atmosres.2022.106183
dc.identifier.issn0169-8095
dc.identifier.officialurlhttps://doi.org/10.1016/j.atmosres.2022.106183
dc.identifier.relatedurlhttps://www.elsevier.com/es-es
dc.identifier.urihttps://hdl.handle.net/20.500.14352/71537
dc.journal.titleAtmospheric research
dc.language.isoeng
dc.page.initial106183
dc.publisherElsevier
dc.relation.projectIDBES-2017-080025
dc.relation.projectIDIBERCANES (PID2019-105306RB-I00)
dc.relation.projectIDSAFEFLIGHT (CGL2016-78702-C2-1-R; CGL2016-78702-C2-2-R)
dc.relation.projectIDFEI-EU-17-16
dc.relation.projectIDSPESMART AND SPESVALE (ECMWF Special Projects)
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.cdu550.3
dc.subject.keywordCentral Iberian Zone
dc.subject.keywordDecision trees
dc.subject.keywordTurbulence
dc.subject.keywordWeather forecasting
dc.subject.keywordAviation safety
dc.subject.keywordBarajas airport
dc.subject.keywordEddy dissipation rate
dc.subject.keywordHARMONIE-AROME
dc.subject.keywordLee waves
dc.subject.keywordMeteorological phenomena
dc.subject.keywordMountain wave
dc.subject.keywordNumerical weather prediction models
dc.subject.keywordWeather research and forecasting
dc.subject.keywordWRF-ARW
dc.subject.keywordaircraft
dc.subject.keywordairport
dc.subject.keywordclimate prediction
dc.subject.keyworddissipation
dc.subject.keywordeddy
dc.subject.keywordturbulence
dc.subject.keywordLandforms
dc.subject.ucmAeronáutica
dc.subject.ucmGeofísica
dc.subject.ucmMeteorología (Física)
dc.subject.unesco3301 Ingeniería y Tecnología Aeronáuticas
dc.subject.unesco2507 Geofísica
dc.titleAbility of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia
dc.typejournal article
dc.volume.number274
dspace.entity.typePublication
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relation.isAuthorOfPublicationcf5cf9ad-8e0e-4c40-966d-58da28c01b49
relation.isAuthorOfPublication552fa01a-13cf-4384-a0fa-468914cc2b06
relation.isAuthorOfPublication.latestForDiscovery0f12a7cd-33aa-41fb-a9f4-643fdda3b2b7

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