Articles | Volume 15, issue 6
https://doi.org/10.5194/gmd-15-2365-2022
© Author(s) 2022. 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-15-2365-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
21 Mar 2022
Development and technical paper |
| 21 Mar 2022
| 21 Mar 2022
Impacts of a revised surface roughness parameterization in the Community Land Model 5.1
Ronny Meier
ETH Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland
now at: Umweltschutz, Stadt Luzern, 6005, Lucerne, Switzerland
ETH Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland
now at: Wyss Academy for Nature, Climate and Environmental Physics, Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Gordon B. Bonan
National Center for Atmospheric Research, Boulder, CO, 80307, USA
David M. Lawrence
National Center for Atmospheric Research, Boulder, CO, 80307, USA
Xiaolong Hu
State Key Laboratory of Water Resources and Hydropower Engineering Sciences, Wuhan University, Wuhan, Hubei 430072, China
Gregory Duveiller
Max Planck Institute for Biogeochemistry, Jena, Germany
Catherine Prigent
Observatoire de Paris, PSL University, Sorbonne Université, CNRS, LERMA, Paris, France
Sonia I. Seneviratne
ETH Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland
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Cited
14 citations as recorded by crossref.
- Rethinking the Roughness Height: An Improved Description of Temperature Profiles over Short Vegetation J. Boekee et al. 10.1007/s10546-024-00871-z
- Upstream surface roughness and terrain are strong drivers of contrast in tornado potential between North and South America F. Li et al. 10.1073/pnas.2315425121
- The joint assimilation of satellite observed LAI and soil moisture for the global root zone soil moisture production and its impact on land surface and ecosystem variables Y. Xu et al. 10.1016/j.agrformet.2024.110299
- Projecting future forest microclimate using a land surface model G. Hes et al. 10.1088/1748-9326/ad1f04
- Industrial Particulate Pollution and Historical Land Use Contribute Metals of Concern to Dust Deposited in Neighborhoods Along the Wasatch Front, UT, USA A. Putman et al. 10.1029/2022GH000671
- Local and Non‐Local Biophysical Impacts of Deforestation on Global Temperature During Boreal Summer: CMIP6‐LUMIP Multimodel Analysis S. Liu et al. 10.1029/2022JD038229
- Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models S. Liu et al. 10.1029/2023JD039737
- Surface roughness parameters at a tropical semi-arid site: 4 years of atmosphere boundary layer observations in the deccan plateau region at Shadnagar, India S. Sakuru et al. 10.1007/s00703-024-01040-0
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- Modeling Urban Heat Islands and Thermal Comfort During a Heat Wave Event in East China With CLM5 Incorporating Local Climate Zones C. Li et al. 10.1029/2023JD038883
- Spatiotemporal patterns of the impact of surface roughness and morphology on urban heat island H. Hou et al. 10.1016/j.scs.2023.104513
- Urban form and surface temperature inequality in 683 European cities B. Mashhoodi & P. Unceta 10.1016/j.scs.2024.105690
- Improving process-consistency of an ecohydrological model through inclusion of spatial patterns of satellite-derived land surface temperature D. Duethmann et al. 10.1016/j.jhydrol.2023.130433
- Impacts of a revised surface roughness parameterization in the Community Land Model 5.1 R. Meier et al. 10.5194/gmd-15-2365-2022
13 citations as recorded by crossref.
- Rethinking the Roughness Height: An Improved Description of Temperature Profiles over Short Vegetation J. Boekee et al. 10.1007/s10546-024-00871-z
- Upstream surface roughness and terrain are strong drivers of contrast in tornado potential between North and South America F. Li et al. 10.1073/pnas.2315425121
- The joint assimilation of satellite observed LAI and soil moisture for the global root zone soil moisture production and its impact on land surface and ecosystem variables Y. Xu et al. 10.1016/j.agrformet.2024.110299
- Projecting future forest microclimate using a land surface model G. Hes et al. 10.1088/1748-9326/ad1f04
- Industrial Particulate Pollution and Historical Land Use Contribute Metals of Concern to Dust Deposited in Neighborhoods Along the Wasatch Front, UT, USA A. Putman et al. 10.1029/2022GH000671
- Local and Non‐Local Biophysical Impacts of Deforestation on Global Temperature During Boreal Summer: CMIP6‐LUMIP Multimodel Analysis S. Liu et al. 10.1029/2022JD038229
- Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models S. Liu et al. 10.1029/2023JD039737
- Surface roughness parameters at a tropical semi-arid site: 4 years of atmosphere boundary layer observations in the deccan plateau region at Shadnagar, India S. Sakuru et al. 10.1007/s00703-024-01040-0
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- Modeling Urban Heat Islands and Thermal Comfort During a Heat Wave Event in East China With CLM5 Incorporating Local Climate Zones C. Li et al. 10.1029/2023JD038883
- Spatiotemporal patterns of the impact of surface roughness and morphology on urban heat island H. Hou et al. 10.1016/j.scs.2023.104513
- Urban form and surface temperature inequality in 683 European cities B. Mashhoodi & P. Unceta 10.1016/j.scs.2024.105690
- Improving process-consistency of an ecohydrological model through inclusion of spatial patterns of satellite-derived land surface temperature D. Duethmann et al. 10.1016/j.jhydrol.2023.130433
1 citations as recorded by crossref.
Latest update: 13 Dec 2024
Short summary
We revise the roughness of the land surface in the CESM climate model. Guided by observational data, we increase the surface roughness of forests and decrease that of bare soil, snow, ice, and crops. These modifications alter simulated temperatures and wind speeds at and above the land surface considerably, in particular over desert regions. The revised model represents the diurnal variability of the land surface temperature better compared to satellite observations over most regions.
We revise the roughness of the land surface in the CESM climate model. Guided by observational...
