Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1467-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-1467-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
16 Apr 2018
Development and technical paper |
| 16 Apr 2018
| 16 Apr 2018
Modeling canopy-induced turbulence in the Earth system: a unified parameterization of turbulent exchange within plant canopies and the roughness sublayer (CLM-ml v0)
National Center for Atmospheric Research, P.O. Box 3000, Boulder,
Colorado, USA 80307
Edward G. Patton
National Center for Atmospheric Research, P.O. Box 3000, Boulder,
Colorado, USA 80307
Ian N. Harman
CSIRO Oceans and Atmosphere, Canberra,
Australia
Keith W. Oleson
National Center for Atmospheric Research, P.O. Box 3000, Boulder,
Colorado, USA 80307
John J. Finnigan
CSIRO Oceans and Atmosphere, Canberra,
Australia
Yaqiong Lu
National Center for Atmospheric Research, P.O. Box 3000, Boulder,
Colorado, USA 80307
Elizabeth A. Burakowski
Institute for the Study of Earth, Oceans, and Space,
University of New Hampshire, Durham, New Hampshire, USA
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- Implementation and Evaluation of a Unified Turbulence Parameterization Throughout the Canopy and Roughness Sublayer in Noah‐MP Snow Simulations R. Abolafia‐Rosenzweig et al. 10.1029/2021MS002665
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- Biomass heat storage dampens diurnal temperature variations in forests R. Meier et al. 10.1088/1748-9326/ab2b4e
- Urbanization-Driven Changes in Land-Climate Dynamics: A Case Study of Haihe River Basin, China Z. Li et al. 10.3390/rs12172701
- Increasing complexity in Aerodynamic Gradient flux calculations inside the roughness sublayer applied on a two-year dataset E. Melman et al. 10.1016/j.agrformet.2024.110107
- Forest stand and canopy development unaltered by 12 years of CO2 enrichment* R. Norby et al. 10.1093/treephys/tpab107
- Modeling Profiles of Micrometeorological Variables in a Tropical Premontane Rainforest Using Multi‐Layered CLM (CLM‐ML) J. Song et al. 10.1029/2020MS002259
- Comparing Model Representations of Physiological Limits on Transpiration at a Semi‐Arid Ponderosa Pine Site L. Hawkins et al. 10.1029/2021MS002927
- The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty D. Lawrence et al. 10.1029/2018MS001583
- Development of a multi-layer canopy model for E3SM Land Model with support for heterogeneous computing G. Bisht et al. 10.1016/j.jocs.2024.102366
4 citations as recorded by crossref.
- Simulation of Longwave Enhancement in Boreal and Montane Forests M. Todt et al. 10.1029/2018JD028719
- The role of surface roughness, albedo, and Bowen ratio on ecosystem energy balance in the Eastern United States E. Burakowski et al. 10.1016/j.agrformet.2017.11.030
- Influence of Vertical Heterogeneities in the Canopy Microenvironment on Interannual Variability of Carbon Uptake in Temperate Deciduous Forests M. Wozniak et al. 10.1029/2020JG005658
- A Comparison of the Diel Cycle of Modeled and Measured Latent Heat Flux During the Warm Season in a Colorado Subalpine Forest S. Burns et al. 10.1002/2017MS001248
Latest update: 23 Apr 2025
Short summary
Land surface models neglect the roughness sublayer and parameterize within-canopy turbulence in an ad hoc manner. We implemented a roughness sublayer parameterization in a multilayer canopy model to test if this theory provides a tractable parameterization extending from the ground through the canopy and the roughness sublayer. The multilayer canopy improves simulations compared with the Community Land Model (CLM4.5) while also advancing the theoretical basis for surface flux parameterizations.
Land surface models neglect the roughness sublayer and parameterize within-canopy turbulence in...
