What can anisotropy tell us about the nature of atmospheric boundary layer flows
ORAL
Abstract
Here, we explore the nature of turbulence anisotropy in high Reynolds number stratified turbulent boundary layer flows. For this purpose, we use data from a comprehensive range of atmospheric turbulence measurement datasets over canonical and highly complex surfaces, together with anisotropy invariant analysis. The results show that the degree of departure from isotropy explains the observed deviations from the classical surface-layer scaling laws. This departure is largest for large-scale quasi-isotropic turbulence, which contrary to expectations, is shown to be characterized by larger than expected efficiency of transport of momentum and heat. We further use simplified Reynolds stress budgets and scaling analysis to examine the drivers of this quasi-isotropic turbulence, both over canonical and highly complex surfaces, and highlighting the change of anisotropy as stratification becomes progressively more dominant, as well as terrain progressively more complex. Our findings provide avenues for enhanced turbulence modelling and highlighting limitations of conventional approaches under strong stratification or complex environments.
*These results are part of a project that has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant agreement No. 101001691)
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Publication: Stiperski, I., Calaf, M., 2023: Generalizing Monin-Obukhov similarity theory (1954) for complex atmospheric turbulence. Physical Review Letters, 130 (12), 124001, https://doi.org/10.1103/PhysRevLett.130.124001
Mosso, S., Calaf, M., Stiperski, I., 2024: Flux gradient relations in complex terrain and their dependence on turbulence anisotropy. Quarterly Journal of the Royal Meteorological Society, https://doi.org/10.1002/qj.4762
Charrondiere, C., Stiperski, I., 2024: Spectral scaling of unstably-stratified atmospheric flows: turbulence anisotropy and the low frequency spread. Quarterly Journal of the Royal Meteorological Society. https://doi.org/10.1002/qj.4811
Presenters
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Ivana Stiperski
- University of Innsbruck