Flux gradient relations and their dependence on turbulence anisotropy
Samuele Mosso, Marc Calaf, Ivana Stiperski

TL;DR
This paper demonstrates that incorporating turbulence anisotropy into flux-gradient relations significantly improves their accuracy and robustness, especially over complex terrain and in various stability regimes, addressing limitations of traditional Monin-Obukhov similarity theory.
Contribution
The study introduces turbulence anisotropy as a key scaling parameter, refining flux-gradient relations and resolving longstanding issues in boundary layer turbulence modeling.
Findings
Including anisotropy reduces scatter in flux-gradient relations.
Improves accuracy of wind shear and temperature gradient predictions.
Reveals a -1/3 power law for free convection regime when anisotropy is considered.
Abstract
Monin-Obukhov similarity theory (MOST) is used in virtually every Earth System Model (ESM) to parameterize the near-surface turbulent exchanges, however there is high uncertainty in the literature about the appropriate parameterizations to be used. In addition, MOST has limitations in very stable and unstable regimes, over heterogeneous terrain and complex orography, and has been found to incorrectly represent the surface fluxes. A new approach including turbulence anisotropy as a scaling parameter has recently been developed, allowing to overcome these limitations and generalize the flux-variance relations to complex terrain. In this paper we analyze the flux-gradient relations for five well known datasets. The scaling relations show substantial scatter and highlight the uncertainty in the choice of parameterization even over canonical conditions. We show that by including information…
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Taxonomy
TopicsMeteorological Phenomena and Simulations · Climate variability and models · Wind and Air Flow Studies
