Articles | Volume 30, issue 21
https://doi.org/10.5194/hess-30-6867-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-6867-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Nov 2026
Research article |
| 09 Nov 2026
| 09 Nov 2026
Quantifying key parameter sensitivities for water table depth in hydrological schemes of CoLM-PSUADE at a mountain forest site
Tingting Wu
Guangdong Provincial Observation and Research Station for Coupled Human and Natural Systems in Land–ocean Interaction Zone, Beijing Normal University, Zhuhai, 519087, China
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Shupeng Zhang
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, 519000, China
Xiaofan Yang
CORRESPONDING AUTHOR
Guangdong Provincial Observation and Research Station for Coupled Human and Natural Systems in Land–ocean Interaction Zone, Beijing Normal University, Zhuhai, 519087, China
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Yongjiu Dai
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, 519000, China
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-232, https://doi.org/10.5194/essd-2022-232, 2022
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Short summary
We coupled a land surface model (CoLM - Common Land Model) with an analysis tool (PSUADE – Problem Solving environment for Uncertainty Analysis and Design Exploration) to evaluate processes controlling water table depth (WTD) through sensitivity analysis and parameter optimization. A small set of sensitive parameters governing WTD was identified, showing subsurface runoff controls average groundwater levels, while soil properties govern variability. A stepwise calibration was then suggested to improve accuracy. This framework offers a transferable pathway to enhance groundwater simulation.
We coupled a land surface model (CoLM - Common Land Model) with an analysis tool (PSUADE –...
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