RT Journal Article
T1 Comparison of the WRF and HARMONIE models ability for mountain wave warnings
A1 Díaz Fernández, Javier
A1 Bolgiani, P.
A1 Santos Muñoz, D.
A1 Quitián Hernández, L.
A1 Sastre Marugán, Mariano
A1 Valero, F.
A1 Farrán, J.I.
A1 González Alemán, Juan Jesús
A1 Martín, M.L.
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 2021
FD 2021-10-27
LK https://hdl.handle.net/20.500.14352/4714
UL https://hdl.handle.net/20.500.14352/4714
LA eng
NO CRUE-CSIC (Acuerdos Transformativos 2021)
NO Ministerio de Ciencia e Innovación (MICINN)
DS Docta Complutense
RD 8 oct 2024