Articles | Volume 12, issue 8
https://doi.org/10.5194/bg-12-2533-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-2533-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Apr 2015
Research article |
| 30 Apr 2015
Large-eddy simulations of surface roughness parameter sensitivity to canopy-structure characteristics
K. D. Maurer
Department of Civil, Environmental & Geodetic Engineering, The Ohio State University, Columbus, OH, USA
Department of Civil, Environmental & Geodetic Engineering, The Ohio State University, Columbus, OH, USA
W. T. Kenny
Department of Civil, Environmental & Geodetic Engineering, The Ohio State University, Columbus, OH, USA
V. Y. Ivanov
Department of Civil & Environmental Engineering, University of Michigan, Ann Arbor, MI, USA
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- A Scheme for Estimating Time-Varying Wind Stress Drag Coefficient in the Ekman Model with Adjoint Assimilation X. Wu et al. 10.3390/jmse9111220
- Impact of canopy aerodynamic distance spatial and temporal variability on long term eddy covariance measurements Q. Hurdebise et al. 10.1016/j.agrformet.2017.07.013
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- Quantifying vegetation and canopy structural complexity from terrestrial LiDARdata using theforestr rpackage J. Atkins et al. 10.1111/2041-210X.13061
- Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks H. Chu et al. 10.1029/2018GL079306
- Evaporation and CO 2 fluxes in a coastal reef: an eddy covariance approach A. Rey-Sánchez et al. 10.1080/20964129.2017.1392830
- Trait-based representation of hydrological functional properties of plants in weather and ecosystem models A. Matheny et al. 10.1016/j.pld.2016.10.001
- Explaining the convector effect in canopy turbulence by means of large-eddy simulation T. Banerjee et al. 10.5194/hess-21-2987-2017
- A Method on Estimating Time-Varying Vertical Eddy Viscosity for an Ekman Layer Model with Data Assimilation J. Zhang et al. 10.1175/JTECH-D-18-0223.1
- Mean and Turbulent Flow Statistics in a Trellised Agricultural Canopy N. Miller et al. 10.1007/s10546-017-0265-y
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- Transpiration and evaporation in a Californian oak-grass savanna: Field measurements and partitioning model results S. Ma et al. 10.1016/j.agrformet.2020.108204
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- Decoupling factor, aerodynamic and canopy conductances of a hedgerow olive orchard under Mediterranean climate G. Rana et al. 10.1007/s00704-023-04475-4
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- Realistic Forests and the Modeling of Forest‐Atmosphere Exchange E. Bannister et al. 10.1029/2021RG000746
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- Analyzing the effects of 2D and 3D urban structures on LST changes using remotely sensed data K. Ezimand et al. 10.1016/j.scs.2021.103216
- Impacts of a revised surface roughness parameterization in the Community Land Model 5.1 R. Meier et al. 10.5194/gmd-15-2365-2022
30 citations as recorded by crossref.
- Influence of wind direction on the surface roughness of vineyards J. Alfieri et al. 10.1007/s00271-018-0610-z
- Changes of the aerodynamic characteristics of a flux site after an extensive windthrow B. Oliveira et al. 10.5194/bg-19-2235-2022
- An Advanced Multiple‐Layer Canopy Model in the WRF Model With Large‐Eddy Simulations to Simulate Canopy Flows and Scalar Transport Under Different Stability Conditions Y. Ma & H. Liu 10.1029/2018MS001347
- A Scheme for Estimating Time-Varying Wind Stress Drag Coefficient in the Ekman Model with Adjoint Assimilation X. Wu et al. 10.3390/jmse9111220
- Impact of canopy aerodynamic distance spatial and temporal variability on long term eddy covariance measurements Q. Hurdebise et al. 10.1016/j.agrformet.2017.07.013
- Can upscaling ground nadir SIF to eddy covariance footprint improve the relationship between SIF and GPP in croplands? G. Wu et al. 10.1016/j.agrformet.2023.109532
- Assessing effects of urban vegetation height on land surface temperature in the City of Tampa, Florida, USA Q. Yu et al. 10.1016/j.jag.2018.08.016
- Quantifying vegetation and canopy structural complexity from terrestrial LiDARdata using theforestr rpackage J. Atkins et al. 10.1111/2041-210X.13061
- Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks H. Chu et al. 10.1029/2018GL079306
- Evaporation and CO 2 fluxes in a coastal reef: an eddy covariance approach A. Rey-Sánchez et al. 10.1080/20964129.2017.1392830
- Trait-based representation of hydrological functional properties of plants in weather and ecosystem models A. Matheny et al. 10.1016/j.pld.2016.10.001
- Explaining the convector effect in canopy turbulence by means of large-eddy simulation T. Banerjee et al. 10.5194/hess-21-2987-2017
- A Method on Estimating Time-Varying Vertical Eddy Viscosity for an Ekman Layer Model with Data Assimilation J. Zhang et al. 10.1175/JTECH-D-18-0223.1
- Mean and Turbulent Flow Statistics in a Trellised Agricultural Canopy N. Miller et al. 10.1007/s10546-017-0265-y
- Retrieval of tree branch architecture attributes from terrestrial laser scan data using a Laplacian algorithm Y. Li et al. 10.1016/j.agrformet.2019.107874
- Investigating the Diurnal Radiative, Turbulent, and Biophysical Processes in the Amazonian Canopy‐Atmosphere Interface by Combining LES Simulations and Observations X. Pedruzo‐Bagazgoitia et al. 10.1029/2022MS003210
- Relationship between aerodynamic roughness length and bulk sedge leaf area index in a mixed‐species boreal mire complex P. Alekseychik et al. 10.1002/2017GL073884
- A Numerical Case Study of the Implications of Secondary Circulations to the Interpretation of Eddy-Covariance Measurements Over Small Lakes W. Kenny et al. 10.1007/s10546-017-0268-8
- Transpiration and evaporation in a Californian oak-grass savanna: Field measurements and partitioning model results S. Ma et al. 10.1016/j.agrformet.2020.108204
- The TurbEFA Field Experiment—Measuring the Influence of a Forest Clearing on the Turbulent Wind Field R. Queck et al. 10.1007/s10546-016-0151-z
- Improving surface roughness lengths estimation using machine learning algorithms X. Hu et al. 10.1016/j.agrformet.2020.107956
- Defining a spectrum of integrative trait‐based vegetation canopy structural types R. Fahey et al. 10.1111/ele.13388
- A new roughness parameterization scheme based on vegetation dynamics and its applicability on the Tibetan Plateau Y. Yuan et al. 10.1016/j.jhydrol.2025.132822
- Decoupling factor, aerodynamic and canopy conductances of a hedgerow olive orchard under Mediterranean climate G. Rana et al. 10.1007/s00704-023-04475-4
- Robust retrieval of forest canopy structural attributes using multi‐platform airborne LiDAR B. Zhang et al. 10.1002/rse2.398
- Large-Eddy Simulation Comparison of Neutral Flow Over a Canopy: Sensitivities to Physical and Numerical Conditions, and Similarity to Other Representations H. Ouwersloot et al. 10.1007/s10546-016-0182-5
- Realistic Forests and the Modeling of Forest‐Atmosphere Exchange E. Bannister et al. 10.1029/2021RG000746
- Assessing Forest Canopy Impacts on Smoke Concentrations Using a Coupled Numerical Model J. Charney et al. 10.3390/atmos10050273
- Analyzing the effects of 2D and 3D urban structures on LST changes using remotely sensed data K. Ezimand et al. 10.1016/j.scs.2021.103216
- Impacts of a revised surface roughness parameterization in the Community Land Model 5.1 R. Meier et al. 10.5194/gmd-15-2365-2022
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Latest update: 24 Apr 2025
Short summary
We used large-eddy simulations to test the sensitivity of roughness parameters to characteristics of canopy structure. We found that displacement height scaled with maximum canopy height, aerodynamic canopy height with maximum canopy height and leaf area index, and eddy-penetration depth with gap fraction. Using a decade of observations, we found that fixed parameterizations of roughness performed well but that empirical approaches that incorporated canopy structure preformed even better.
We used large-eddy simulations to test the sensitivity of roughness parameters to...
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