气候变化领域集成服务门户(CCPortal): Microburst Detection With the WRF Model: Effective Resolution and Forecasting Indices

CCPortal

DOI	10.1029/2020JD032883
	Microburst Detection With the WRF Model: Effective Resolution and Forecasting Indices
	Bolgiani P.; Santos-Muñoz D.; Fernández-González S.; Sastre M.; Valero F.; Martín M.L.
发表日期	2020
ISSN	2169897X
卷号	125 期号:14
英文摘要	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. ©2020. The Authors.
英文关键词	energy spectrum; high resolution; microburst; microburst index; numerical simulation; WRF
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185902
作者单位	Department of Earth Physics and Astrophysics, Faculty of Physics, Complutense University of Madrid, Madrid, Spain; State Meteorological Agency (AEMET), Santander, Spain; Interdisciplinary Mathematics Institute, Complutense University of Madrid, Madrid, Spain; Department of Applied Mathematics, Faculty of Computer Engineering, University of Valladolid, Valladolid, Spain
推荐引用方式 GB/T 7714	Bolgiani P.,Santos-Muñoz D.,Fernández-González S.,et al. Microburst Detection With the WRF Model: Effective Resolution and Forecasting Indices[J],2020,125(14).
APA	Bolgiani P.,Santos-Muñoz D.,Fernández-González S.,Sastre M.,Valero F.,&Martín M.L..(2020).Microburst Detection With the WRF Model: Effective Resolution and Forecasting Indices.Journal of Geophysical Research: Atmospheres,125(14).
MLA	Bolgiani P.,et al."Microburst Detection With the WRF Model: Effective Resolution and Forecasting Indices".Journal of Geophysical Research: Atmospheres 125.14(2020).