Articles | Volume 27, issue 14
https://doi.org/10.5194/hess-27-2827-2023
https://doi.org/10.5194/hess-27-2827-2023
Research article
 | 
31 Jul 2023
Research article |  | 31 Jul 2023

Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables

Tanja Denager, Torben O. Sonnenborg, Majken C. Looms, Heye Bogena, and Karsten H. Jensen

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Latest update: 19 Jul 2024
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Short summary
This study contributes to improvements in the model characterization of water and energy fluxes. The results show that multi-objective autocalibration in combination with mathematical regularization is a powerful tool to improve land surface models. Using the direct measurement of turbulent fluxes as the target variable, parameter optimization matches simulations and observations of latent heat, whereas sensible heat is clearly biased.