Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/12294
Microburst detection with the WRF model: effective resolution and forecasting indices
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dc.contributor.authorBolgiani, Pedroes_ES
dc.contributor.authorSantos Muñoz, Danieles_ES
dc.contributor.authorFernández-González, Sergioes_ES
dc.contributor.authorSastre, Marianoes_ES
dc.contributor.authorValero Rodríguez, Franciscoes_ES
dc.contributor.authorMartín Pérez, María Luisaes_ES
dc.date.accessioned2020-07-14T10:03:46Z-
dc.date.available2020-07-14T10:03:46Z-
dc.date.issued2020-
dc.identifier.citationJournal of Geophysical Research: Atmospheres. 2020, 125(14), p. 1-13es_ES
dc.identifier.issn2169-897X-
dc.identifier.issn2169-8996-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/12294-
dc.description.abstractMicrobursts 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.es_ES
dc.description.sponsorshipThis work is supported by the Interdisciplinary Mathematics Institute of the Complutense University of Madrid and funded by the Spanish Ministry of Economy and Enterprise under the following research projects: PCIN‐2014‐013‐C07‐04, PCIN‐2016‐080 (UE ERANET Plus NEWA Project), CGL2016‐81828‐REDT, FEI‐EU‐17‐16, SAFEFLIGHT (CGL2016‐78702‐C2‐1‐R and CGL2016‐78702‐C2‐2‐R), PID2019‐105306RB‐I00. This work is also supported by the ECMWF special projects SPESMART and SPESVALE.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Geophysical Uniones_ES
dc.rightsLicencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-NDes_ES
dc.subjectMicroburstes_ES
dc.subjectNumerical simulationes_ES
dc.subjectWRFes_ES
dc.subjectHigh resolutiones_ES
dc.subjectEnergy spectrumes_ES
dc.titleMicroburst detection with the WRF model: effective resolution and forecasting indiceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://dx.doi.org/10.1029/2020JD032883es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:Artículos científicos 2019-2021


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