RT info:eu-repo/semantics/article
T1 Comparison of the WRF and HARMONIE models ability for mountain wave warnings
A1 Díaz Fernández, Javier
A1 Bolgiani, Pedro
A1 Santos Muñoz, Daniel
A1 Quitián Hernández, Lara
A1 Sastre Marugan, Maríano
A1 Valero, Francisco
A1 Farrán Martín, José Ignacio
A1 González Alemán, Juan Jesús
A1 Martín Pérez, María Luisa
K1 Mountain lee waves
K1 Icing
K1 Lenticular clouds
K1 WRF
K1 HARMONIE
K1 Warning
K1 Decision tree
AB 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.
PB Elsevier
SN 0169-8095
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/71403
UL https://uvadoc.uva.es/handle/10324/71403
LA eng
NO Atmospheric Research, 2022, vol. 265, 105890
NO Producción científica
DS UVaDOC
RD 22-dic-2024