EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Large organized structures in stably stratified turbulent shear flows.

Andrey Glazunov1, Evgeny Mortikov1,2, Grigory Zasko3, Yuri Nechepurenko1, and Sergej Zilitinkevich4,5
Andrey Glazunov et al.
  • 1Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow 119333, Russia
  • 2Research Computing Center of Lomonosov Moscow State University, Moscow 119991, Russia
  • 3Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow 125047, Russia
  • 4Finnish Meteorological Institute, Helsinki, Finland
  • 5Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, Finland

We analyzed the data of the numerical simulation of stably stratified turbulent shear flows. It is shown that, along with chaotic turbulence, the flows contain large organized structures. In the temperature field, these structures appear as inclined layers with weakly stable stratification, separated by very thin layers with large temperature gradients. The existence of such layered structures in nature is indirectly confirmed by the analysis of field measurements. An increase of the turbulent Prandtl number with increasing gradient Richardson number was fixed in simulation data. The hypothesis is proposed that physical mechanism for maintaining of turbulence in supercritically stable stratification is connected with the revealed  structures. It is shown that the spatial scales and the shapes of the identified organized structures can be explained using the calculation of  optimal disturbances for the simplified linear model.

This study was supported by the Russian Foundation for Basic Research (grants nos. 18-05-60126,  20-05-00776) and by Academy of Finland project ClimEco no. 314 798/799 (2018-2020).

How to cite: Glazunov, A., Mortikov, E., Zasko, G., Nechepurenko, Y., and Zilitinkevich, S.: Large organized structures in stably stratified turbulent shear flows., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9034,, 2020

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