EGU22-1193
https://doi.org/10.5194/egusphere-egu22-1193
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

A new K-ε  turbulence parameterization  for mesoscale meteorological models

Andrea Zonato1, Alberto Martilli2, Pedro A. Jimenez3, Jimy Dudhia3, Dino Zardi1, and Lorenzo Giovannini1
Andrea Zonato et al.
  • 1Univesity of Trento, Civil, Environmental and Mechanical Engineering, Italy (andrea.zonato@unitn.it)
  • 2Center for Energy, Environment and Technology (CIEMAT), Madrid, Spain
  • 3National Center for Atmospheric Research, Boulder, Colorado

A new one-dimensional 1.5-order planetary boundary layer (PBL) scheme, based on the K-ε turbulence closure applied to the Reynolds-averaged-Navier-Stokes (RANS) equations, is developed and implemented within the Weather Research and Forecasting (WRF) model. The new scheme includes an analytic solution of the coupled equations of the turbulent kinetic energy and of the dissipation rate. Different versions of the PBL scheme are proposed, with increasing levels of complexity, including a model for the calculation of the Prandtl number, a correction to the dissipation rate equation, and a prognostic equation for the temperature variance. Five different idealized cases are investigated: four of them explore convective conditions, and they differ in initial thermal stratification and terrain complexity, while one simulates the very stable boundary layer case known as GABLS. For each case study, an ensemble of different Large Eddy Simulations (LES), has been taken as reference for the comparison with the novel PBL schemes and other state-of-the-art 1- and 1.5-order turbulence closures. Results show that the new PBL K-ε  scheme brings improvements in all the cases tested in this study. Specifically, the largest enhancements are brought by the turbulence closure including a prognostic equation for the temperature variance. Moreover, the largest benefits are obtained for the idealized cases simulating a typical thermal circulation within a two-dimensional valley. This suggests that the use of prognostic equations for the dissipation rate and temperature variance, which take into account their transport and history, is particularly important with increasing complexity of PBL dynamics.

How to cite: Zonato, A., Martilli, A., Jimenez, P. A., Dudhia, J., Zardi, D., and Giovannini, L.: A new K-ε  turbulence parameterization  for mesoscale meteorological models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1193, https://doi.org/10.5194/egusphere-egu22-1193, 2022.

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