Articles | Volume 20
05 Jul 2023
 | 05 Jul 2023

Capturing features of turbulent Ekman–Stokes boundary layers with a stochastic modeling approach

Marten Klein and Heiko Schmidt

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Exploring stratification effects in stable Ekman boundary layers using a stochastic one-dimensional turbulence model
Marten Klein and Heiko Schmidt
Adv. Sci. Res., 19, 117–136,,, 2022
Short summary

Cited articles

Ansorge, C. and Mellado, J. P.: Global intermittency and collapsing turbulence in the stratified atmospheric boundary layer, Bound.-Lay. Meteorol., 153, 89–116,, 2014. a, b
Ashkenazy, Y., Gildor, H., and Bel, G.: The effect of stochastic wind on the infinite depth Ekman layer model, Europhys. Lett., 111, 39001,, 2015. a
Boyko, V. and Vercauteren, N.: Multiscale shear forcing of turbulence in the nocturnal boundary layer: A statistical analysis, Bound.-Lay. Meteorol., 179, 43–72,, 2021. a
Childress, S.: Turbulent baker's maps, SIAM J. Appl. Math., 55, 552–563,, 1995. a
Cuxart, J., Jiménez, M. A., Prtenjak, M. T., and Grisogono, B.: Study of a sea-breeze case through momentum, temperature, and turbulence budgets, J. Appl. Meteorol. Clim., 53, 2589–2609,, 2014. a
Short summary
Atmospheric boundary layers are inherently unsteady and exhibit processes on multiple scales. A stochastic one-dimensional turbulence model is applied here to periodically forced Ekman flows. These flows are hard to model due to competing laminar and turbulent response mechanisms. It is shown that the model is able to capture parametric dependencies of the near-surface turbulence. The results consolidate improvements seen in a subgrid-scale application of the model within large-eddy simulations.