Impacts of a revised surface roughness parameterization in the Community Land Model 5.1

Meier, Ronny; Davin, Edouard L.; Bonan, Gordon B.; Lawrence, David M.; Hu, Xiaolong; Duveiller, Gregory; Prigent, Catherine; Seneviratne, Sonia I.

doi:https://doi.org/10.5194/gmd-15-2365-2022

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.

https://doi.org/10.5194/gmd-15-2365-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 6

Development and technical paper

|

21 Mar 2022

Development and technical paper |

| 21 Mar 2022

Impacts of a revised surface roughness parameterization in the Community Land Model 5.1

Ronny Meier, Edouard L. Davin, Gordon B. Bonan, David M. Lawrence, Xiaolong Hu, Gregory Duveiller, Catherine Prigent, and Sonia I. Seneviratne

Data sets

MODIS-based data on the sensitivity of LST to a conversion of vegetation to bare land Gregory Duveiller https://doi.org/10.3929/ethz-b-000503165

Supplementary Material of "Impacts of a Revised Surface Roughness Parameterization in the Community Land Model 5.1" Ronny Meier, Grégory Duveiller, Edouard Léopold Davin, Gordon B. Bonan, David M. Lawrence, Xiaolong Hu, Catherine Prigent, and Sonia I. Seneviratne https://doi.org/10.3929/ethz-b-000503165

Model code and software

Supplementary Material of "Impacts of a Revised Surface Roughness Parameterization in the Community Land Model 5.1" Ronny Meier, Grégory Duveiller, Edouard Léopold Davin, Gordon B. Bonan, David M. Lawrence, Xiaolong Hu, Catherine Prigent, and Sonia I. Seneviratne https://doi.org/10.3929/ethz-b-000503165

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.