RT info:eu-repo/semantics/article
T1 Ability of the WRF and HARMONIE-AROME models to detect turbulence related to mountain waves over central Iberia
A1 Díaz Fernández, Javier
A1 Bolgiani, Pedro
A1 Sastre Marugán, Mariano
A1 Santos Muñoz, Daniel
A1 Valero, Francisco
A1 Farrán Martín, José Ignacio
A1 Martín Pérez, María Luisa
AB Aircraft turbulence is one of the most dangerous meteorological phenomena that can affect aviation safety. This study is focused on the turbulence associated to mountain lee waves in the vicinity of Adolfo Suárez Madrid-Barajas airport (Spain). Sixty-eight mountain lee waves events are selected to simulate the turbulence with the Weather Research and Forecasting (WRF-ARW) and the HARMONIE-AROME numerical weather prediction models. To study and characterize the turbulence associated, the vertical wind speeds are selected as an important variable and the Eddy Dissipation Rate is estimated. Both models have properly simulated the turbulence and the clear air turbulence, obtaining higher values of turbulence intensity by WRF-ARW than HARMONIE-AROME in the mountain lee waves events. Finally, these results are used to enhance a mountain wave warning decision tree, including the turbulence warning which is validated through several turbulence reports.
PB Atmospheric Research
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/64808
UL https://uvadoc.uva.es/handle/10324/64808
LA eng
NO Atmospheric Research, 2022, 274, 1-8, 106183.
DS UVaDOC
RD 24-nov-2024