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



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Díaz Fernández, Javier and Bolgiani, P. and Santos Muñoz, D. and Quitián Hernández, L. and Sastre Marugán, Mariano and Valero, F. and Farrán, J.I. and González Alemán, J.J. and Martín, M.L. (2021) Comparison of the WRF and HARMONIE models ability for mountain wave warnings. Atmospheric research, 265 . p. 105890. ISSN 0169-8095

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Mountain 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.

Item Type:Article
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CRUE-CSIC (Acuerdos Transformativos 2021)

Uncontrolled Keywords:Mountain lee waves, Icing, Lenticular clouds, WRF, HARMONIE, Warning, Decision tre
Subjects:Sciences > Physics > Meteorology
ID Code:70533
Deposited On:17 Feb 2022 11:00
Last Modified:18 Feb 2022 12:55

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