Comparison of the WRF and HARMONIE models ability for mountain wave warnings

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dc.contributor.authorDíaz Fernández, Javier
dc.contributor.authorBolgiani, P.
dc.contributor.authorSantos Muñoz, D.
dc.contributor.authorQuitián Hernández, L.
dc.contributor.authorSastre Marugán, Mariano
dc.contributor.authorValero, F.
dc.contributor.authorFarrán, J.I.
dc.contributor.authorGonzález Alemán, Juan Jesús
dc.contributor.authorMartín, M.L.
dc.date.accessioned2023-06-16T14:19:57Z
dc.date.available2023-06-16T14:19:57Z
dc.date.issued2021-10-27
dc.descriptionCRUE-CSIC (Acuerdos Transformativos 2021)
dc.description.abstractMountain lee waves usually involve aircraft icing and turbulence events. These weather phenomena, in turn, are a threat to aviation safety. For this reason, mountain lee waves are an interesting subject of study for the scientific community. This paper analyses several mountain lee waves events in the south-east of the Guadarrama mountain range, near the Adolfo Suarez Madrid-Barajas airport (Spain), using the Weather Research and Forecasting (WRF) and the HARMONIE-AROME high-resolution numerical models. For this work, simulated brightness temperature from the optimum WRF parametrization schemes and from the HARMONIE are validated using satellite observations to evaluate the performance of the models in reproducing the lenticular clouds associated to mountain lee waves. The brightness temperature probability density shows interesting differences between both models. Following, a mountain wave characterization is performed simulating some atmospheric variables (wind direction, wind speed, atmospheric stability, liquid water content and temperature) in several grid points located in the leeward, windward and over the summit of the mountains. The characterization results are compared for both numerical models and a decision tree is developed for each to forecast and warn the mountain lee waves, lenticular clouds and icing events with a 24 to 48 h lead time. These warnings are validated using several skill scores, revealing similar results for both models.
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/70533
dc.identifier.doi10.1016/j.atmosres.2021.105890
dc.identifier.issn0169-8095
dc.identifier.officialurlhttps://doi.org/10.1016/j.atmosres.2021.105890
dc.identifier.urihttps://hdl.handle.net/20.500.14352/4714
dc.journal.titleAtmospheric research
dc.language.isoeng
dc.page.initial105890
dc.publisherElsevier
dc.relation.projectIDPID2019- 105306RB-I00, CGL2016-78702-C2-1-R and CGL2016-78702-C2-2-R (SAFEFLIGHT project)
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.keywordMountain lee waves
dc.subject.keywordIcing
dc.subject.keywordLenticular clouds
dc.subject.keywordWRF
dc.subject.keywordHARMONIE
dc.subject.keywordWarning
dc.subject.keywordDecision tre
dc.subject.ucmMeteorología (Física)
dc.titleComparison of the WRF and HARMONIE models ability for mountain wave warnings
dc.typejournal article
dc.volume.number265
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery0f12a7cd-33aa-41fb-a9f4-643fdda3b2b7
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