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oai:docta.ucm.es:20.500.14352/65402024-02-22T18:26:08Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author Bolgiani, Pedro author Santos Muñoz, Daniel author Fernández González, Sergio author Sastre Marugán, Mariano author Valero Rodríguez, Francisco author Martín, María Luisa 2023-06-16T15:23:03Z 2023-06-16T15:23:03Z 2020-07-27 2169-897X 10.1029/2020JD032883 https://hdl.handle.net/20.500.14352/6540 http://dx.doi.org/10.1029/2020JD032883 https://agupubs.onlinelibrary.wiley.com/ 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. eng Atribución-NoComercial-SinDerivadas 3.0 España Microburst detection with the WRF model: effective resolution and forecasting indices journal article URL https://docta.ucm.es/bitstreams/acf2f80a-8f5c-4280-9b5b-e8c50f1c60c4/download File MD5 f416593064cb3eabf462700309f58679 3202010 application/pdf sastremarugan02libre+CC.pdf