Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia

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Díaz Fernández, Javier and Bolgiani, P. and Sastre Marugán, Mariano and Santos-Muñoz, D. and Valero Rodríguez, Francisco and Farrán, J.I. and Martín, M.L. (2022) Ability of the WRF-ARW and HARMONIE-AROME models to detect turbulence related to mountain waves over Central Iberia. Atmospheric research, 274 . p. 106183. ISSN 0169-8095

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Official URL: https://doi.org/10.1016/j.atmosres.2022.106183




Abstract

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.


Item Type:Article
Additional Information:

CRUE-CSIC (Acuerdos Transformativos 2022).

© 2022 The Authors. This work was partially supported by research projects PID2019-105306RB-I00 (IBERCANES project), CGL2016-78702-C2-1-R and CGL2016-78702-C2-2-R (SAFEFLIGHT project), FEI-EU-17-16 and SPESMART AND SPESVALE (ECMWF Special Projects). J. Díaz-Fernández acknowledges the grant supported by the Ministerio de Ciencia, Innovación y Universidades (FPI program BES-2017-080025).

Uncontrolled Keywords:Central Iberian Zone; Decision trees; Turbulence; Weather forecasting; Aviation safety; Barajas airport; Eddy dissipation rate; HARMONIE-AROME; Lee waves; Meteorological phenomena; Mountain wave; Numerical weather prediction models; Weather research and forecasting; WRF-ARW; aircraft; airport; climate prediction; dissipation; eddy; turbulence; Landforms
Subjects:Sciences > Physics > Aeronautics
Sciences > Physics > Geophysics
Sciences > Physics > Meteorology
ID Code:72534
Deposited On:03 Jun 2022 12:26
Last Modified:13 Jun 2022 08:07

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