Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 11
Articles | Volume 15, issue 11
https://doi.org/10.5194/gmd-15-4313-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-4313-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 11
Development and technical paper
 | 
03 Jun 2022
Development and technical paper |  | 03 Jun 2022

Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES)

Qianyu Li, Shawn P. Serbin, Julien Lamour, Kenneth J. Davidson, Kim S. Ely, and Alistair Rogers

Viewed

Total article views: 3,140 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,164 890 86 3,140 241 81 122
  • HTML: 2,164
  • PDF: 890
  • XML: 86
  • Total: 3,140
  • Supplement: 241
  • BibTeX: 81
  • EndNote: 122
Views and downloads (calculated since 25 Jan 2022)
Cumulative views and downloads (calculated since 25 Jan 2022)

Viewed (geographical distribution)

Total article views: 3,140 (including HTML, PDF, and XML) Thereof 2,980 with geography defined and 160 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Nov 2025
Download
Short summary
Stomatal conductance is the rate of water release from leaves’ pores. We implemented an optimal stomatal conductance model in a vegetation model. We then tested and compared it with the existing empirical model in terms of model responses to key environmental variables. We also evaluated the model with measurements at a tropical forest site. Our study suggests that the parameterization of conductance models and current model response to drought are the critical areas for improving models.
Read more
Share