Turbulence Anisotropy and the Roughness Sublayer in Diverse Canopy Flows: A Pathway for Generalization

Abstract Turbulent exchanges within the atmospheric surface layer (ASL) are influenced by the presence of canopies and terrain heterogeneity. Because the roughness sublayer (RSL) connects the canopy‐terrain system to the ASL, the flow properties within the RSL are receiving significant attention. However, basic questions about the RSL, including its thickness, remain unresolved beyond order‐of‐magnitude arguments. While different approaches have been developed to identify the RSL thickness, results do diverge depending on the measure used. Using large eddy simulations (LES), the flows over dense vegetated canopies embedded in complex topography, dense and heterogeneous vegetated canopies on flat terrain, as well as urban canopies, are investigated. A reduced turbulent kinetic energy budget (TKE) is combined with turbulence anisotropy analysis to assess the structure and extent of the RSL. Results show that the imbalance between production and dissipation in the TKE budget is systematically linked to turbulence anisotropy, with a consistent threshold in the anisotropy invariant marking the transition from RSL to the inertial sublayer (ISL). This threshold is consistent across canopy configurations and terrain complexities, hinting at a potential pathway to generalize the identification of the RSL regardless of the canopy type or morphology. The proposed framework provides a new method to identify RSL height using quantities readily derived from the Reynolds stress tensor, offering new opportunities for interpreting tower measurements at the ecosystem scale and improving land–atmosphere parameterizations in Earth System Models.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-11-07
DOI
https://doi.org/10.1029/2026jd046305
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
0.00

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article

Turbulence Anisotropy and the Roughness Sublayer in Diverse Canopy Flows: A Pathway for Generalization

Marcelo Chamecki, Ivana Stiperski, Gabriel George Katul, Marco G. Giometto et al.
2 links
Journal of Geophysical Research Atmospheres
Fluid Dynamics and Turbulent Flows
article

Turbulence Anisotropy and the Roughness Sublayer in Diverse Canopy Flows: A Pathway for Generalization

Marcelo Chamecki, Ivana Stiperski, Gabriel George Katul, Marco G. Giometto, Marc Calaf, Benjamin Mark Udina
article en

Abstract

Abstract Turbulent exchanges within the atmospheric surface layer (ASL) are influenced by the presence of canopies and terrain heterogeneity. Because the roughness sublayer (RSL) connects the canopy‐terrain system to the ASL, the flow properties within the RSL are receiving significant attention. However, basic questions about the RSL, including its thickness, remain unresolved beyond order‐of‐magnitude arguments. While different approaches have been developed to identify the RSL thickness, results do diverge depending on the measure used. Using large eddy simulations (LES), the flows over dense vegetated canopies embedded in complex topography, dense and heterogeneous vegetated canopies on flat terrain, as well as urban canopies, are investigated. A reduced turbulent kinetic energy budget (TKE) is combined with turbulence anisotropy analysis to assess the structure and extent of the RSL. Results show that the imbalance between production and dissipation in the TKE budget is systematically linked to turbulence anisotropy, with a consistent threshold in the anisotropy invariant marking the transition from RSL to the inertial sublayer (ISL). This threshold is consistent across canopy configurations and terrain complexities, hinting at a potential pathway to generalize the identification of the RSL regardless of the canopy type or morphology. The proposed framework provides a new method to identify RSL height using quantities readily derived from the Reynolds stress tensor, offering new opportunities for interpreting tower measurements at the ecosystem scale and improving land–atmosphere parameterizations in Earth System Models.

Journal of Geophysical Research AtmospheresVol. 131(21)
University of California, Los Angeles (US), University of Alabama (US), Universität Innsbruck (AT), University of Utah (US), Columbia University (US)
National Science Foundation, U.S. Department of Energy, Center for High Performance Computing
Openalex Percentile: Top 97%
Fluid Dynamics and Turbulent Flows
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