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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-406', Anonymous Referee #1, 25 Oct 2022
    • AC1: 'Reply on RC1', Tanja Denager, 07 Dec 2022
  • RC2: 'Comment on egusphere-2022-406', Anonymous Referee #2, 21 Feb 2023
    • AC2: 'Reply on RC2', Tanja Denager, 14 Apr 2023
  • RC3: 'Comment on egusphere-2022-406', Anonymous Referee #3, 27 Feb 2023
    • AC3: 'Reply on RC3', Tanja Denager, 14 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (further review by editor) (16 May 2023) by Luis Samaniego
ED: Publish as is (30 May 2023) by Luis Samaniego
AR by Tanja Denager on behalf of the Authors (09 Jun 2023)  Manuscript 
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.