The Vegetated‐Canopy Roughness Sublayer Through a TKE‐Budget Lens

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Authors: Giulia Salmaso, Raúl Bayoán Cal, Marc Calaf
Cited by: 0
References: 44

Abstract

Abstract It is well understood that vegetated canopies perturb the atmospheric flow within and immediately above the canopy, deviating from the inertial sublayer (ISL) regime characteristic of non‐vegetated rough surfaces. Only above a certain height, denoted as the roughness sublayer height (RSL, ), do these flows return to ISL‐like behavior. This distinction is critical, as parameterizations in Earth System Models (ESMs) are typically developed for ISL flows. Yet, most estimates stem from studies over flat, homogeneous canopies and may be biased. In contrast, little is known about in non‐homogeneous or heterogeneous canopies that are not of agricultural interest, with irregular vegetation arrangements. Given that human activity has increasingly fragmented natural canopies, introducing gaps and multiscale heterogeneities, it is imperative to understand how the RSL height varies under such conditions. To address this gap, Large Eddy Simulations of the atmospheric boundary layer under geostrophic forcing are used to investigate how canopy heterogeneity influences the flow and . Data is analyzed using the turbulent kinetic energy (TKE) budget equation with different averaging approaches. Additionally, the lacunarity metric is applied to measure spatial heterogeneity, and a canopy heterogeneity parameter, , is introduced. Results demonstrate that the effects of canopy heterogeneity on ABL flows are well captured by the dispersive production of TKE, which enables the identification of . Further, a scaling relation between and is established, enabling correction of previously published values for canopy heterogeneity. This work continues the flow analysis initiated by the authors in Salmaso et al. (2026, https://doi.org/10.1029/2025JD043959 ).

Fields of Study & Subjects

Remote Sensing and LiDAR Applications

Publication details

Journal / source
Journal of Geophysical Research Atmospheres
Volume
131
Issue
13
Publication date
7 July 2026
Language
EN