Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 14
Articles | Volume 27, issue 14
https://doi.org/10.5194/hess-27-2827-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-2827-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 14
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

Viewed

Total article views: 1,717 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,259 399 59 1,717 64 50 51
  • HTML: 1,259
  • PDF: 399
  • XML: 59
  • Total: 1,717
  • Supplement: 64
  • BibTeX: 50
  • EndNote: 51
Views and downloads (calculated since 19 Jul 2022)
Cumulative views and downloads (calculated since 19 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,717 (including HTML, PDF, and XML) Thereof 1,680 with geography defined and 37 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Nov 2024
Download
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.
Read more