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

Supplement

https://doi.org/10.5194/gmd-15-4313-2022-supplement

Data sets

Model outputs and observation data for "Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES)" Qianyu Li https://doi.org/10.5281/zenodo.6595277

Model code and software

The Functionally Assembled Terrestrial Ecosystem Simulator (FATES) (Version sci.1.35.5_api.11.0.0) FATES Development Team https://doi.org/10.5281/zenodo.3825474

The Functionally Assembled Terrestrial Ecosystem Simulator (commit 9a4627a) FATES Development Team https://doi.org/10.5281/zenodo.5851984

ESCOMP/CTSM: Update documentation for release-clm5.0 branch, and fix issues with no-anthro surface dataset creation CTSM Development Team https://doi.org/10.5281/zenodo.3779821

Scripts for running, analyzing, and plotting results for FATES with Medlyn stomatal conductance model Qianyu Li and Shawn Serbin https://doi.org/10.5281/zenodo.5854740

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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.
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