Articles | Volume 16, issue 15
https://doi.org/10.5194/amt-16-3561-2023
https://doi.org/10.5194/amt-16-3561-2023
Research article
 | 
01 Aug 2023
Research article |  | 01 Aug 2023

Turbulence kinetic energy dissipation rate: assessment of radar models from comparisons between 1.3 GHz wind profiler radar (WPR) and DataHawk UAV measurements

Hubert Luce, Lakshmi Kantha, Hiroyuki Hashiguchi, Dale Lawrence, Abhiram Doddi, Tyler Mixa, and Masanori Yabuki

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Cited articles

Baumert, H. and Peters H.: Second-moment closures and length scales for weakly stratified turbulent shear flows, J. Geophys. Res., 105, 6453–6468, 2000. 
Basu, S. and Holtslag, A. A. M.: Turbulent Prandtl number and characteristic length scales in stably stratified flows: steady-state analytical solutions, Environ. Fluid Mech., 21, 1273–1302, https://doi.org/10.1007/s10652-021-09820-7, 2021. 
Basu, S. and Holtslag, A. A. M.: Revisiting and revising Tatarskii's formulation for the temperature structure parameter CT2 in atmospheric flows, Environ. Fluid Mech., 22, 1107–1119, https://doi.org/10.1007/s10652-022-09880-3, 2022. 
Basu, S., He, P., and De Marco, A. W.: Parameterizing the energy dissipation rate in stably stratified flows, Bound.-Lay. Meteorol., 178, 167–184, https://doi.org/10.1007/s10546-020-00559-0, 2021. 
Bertin, F., Barat, J., and Wilson, R.: Energy dissipation rates, eddy diffusivity, and the Prandtl number: An in situ experimental approach and its consequences on radar estimate of turbulent parameters, Radio Sci., 32, 791–804, https://doi.org/10.1029/96RS03691,1997. 
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Short summary
Doppler radars can be used to estimate turbulence kinetic energy dissipation rates in the atmosphere. The performance of various models is evaluated from comparisons between UHF wind profiler and in situ measurements with UAVs. For the first time, we assess a model supposed to be valid for weak stratification or strong shear conditions. This model provides better agreements with in situ measurements than the classical model based on the hypothesis of a stable stratification.