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Microburst detection with the WRF model: effective resolution and forecasting indices
Title: Microburst detection with the WRF model: effective resolution and forecasting indices
Authors: Bolgiani, PedroSantos Muñoz, DanielAutor AEMETFernández-González, Sergio ORCID RESEARCHERID SCOPUSID Autor AEMETSastre, MarianoValero Rodríguez, FranciscoMartín Pérez, María Luisa
Keywords: Microburst; Numerical simulation; WRF; High resolution; Energy spectrum
Issue Date: 2020
Publisher: American Geophysical Union
Citation: Journal of Geophysical Research: Atmospheres. 2020, 125(14), p. 1-13
Publisher version:
Abstract: 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.
Sponsorship : This 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.
ISSN: 2169-897X
Appears in Collections:Artículos científicos 2019-2022

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