Estimating Turbulence Kinetic Energy Dissipation Rates in Atmospheric Flows: A Priori Study
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In this work, Direct Numerical Simulations (DNS) of atmospheric convective boundary layer flow is used to test various approaches to estimate turbulence kinetic energy dissipation rate (EDR) \(\epsilon \) from one-dimensional (1D) velocity signals. Results of these estimates are compared with “true” DNS values of \(\epsilon \). We focus on methods of EDR retrievals proposed recently in Wacławczyk et al. Atmos. Meas. Tech. 10, 2017. We test these methods and show that they provide a valuable complement to standard approaches. Another goal is to investigate how the presence of anisotropy due to buoyancy affect the various retrieval techniques of \(\epsilon \).
This work received funding from the European Union Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Actions, Grant Agreement No. 675675. MW and SPM acknowledge matching fund from the Polish Ministry of Science and Higher Education No. 341832/PnH/2016.
- 1.E.O. Akinlabi, M. Wacławczyk, J.P. Mellado, S.P. Malinowski, Estimating turbulence kinetic energy dissipation rates in numerically simulated stratocumulus cloud-top mixing layer: evaluation of different methods. J. Atmos. Sci. 76, 1471–1488 (2019). https://doi.org/10.1175/JAS-D-18-0146.1CrossRefGoogle Scholar
- 4.S.P. Malinowski et al., Physics of stratocumulus top (POST): turbulent mixing across capping inversion. Atmos. Chem. Phys. 13, 12 171–12 186. https://doi.org/10.5194/587acp-13-12171-2013
- 6.S.B. Pope, Turbulent Flows (Cambridge University Press, Cambridge, 2000)Google Scholar