Articles | Volume 17, issue 4
https://doi.org/10.5194/gmd-17-1869-2024
https://doi.org/10.5194/gmd-17-1869-2024
Methods for assessment of models
 | 
29 Feb 2024
Methods for assessment of models |  | 29 Feb 2024

Accurate assessment of land–atmosphere coupling in climate models requires high-frequency data output

Kirsten L. Findell, Zun Yin, Eunkyo Seo, Paul A. Dirmeyer, Nathan P. Arnold, Nathaniel Chaney, Megan D. Fowler, Meng Huang, David M. Lawrence, Po-Lun Ma, and Joseph A. Santanello Jr.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2048', Divyansh Chug, 30 Nov 2023
    • RC2: 'Peer Review', Timothy Lahmers, 02 Dec 2023
      • AC2: 'Reply on RC2', Kirsten Findell, 02 Jan 2024
    • AC1: 'Reply on RC1', Kirsten Findell, 02 Jan 2024
  • EC1: 'Comment on egusphere-2023-2048', Di Tian, 09 Dec 2023
    • AC3: 'Reply on EC1', Kirsten Findell, 02 Jan 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Kirsten Findell on behalf of the Authors (02 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (05 Jan 2024) by Di Tian
RR by Anonymous Referee #3 (05 Jan 2024)
ED: Publish as is (08 Jan 2024) by Di Tian
AR by Kirsten Findell on behalf of the Authors (16 Jan 2024)
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Short summary
We outline a request for sub-daily data to accurately capture the process-level connections between land states, surface fluxes, and the boundary layer response. This high-frequency model output will allow for more direct comparison with observational field campaigns on process-relevant timescales, enable demonstration of inter-model spread in land–atmosphere coupling processes, and aid in targeted identification of sources of deficiencies and opportunities for improvement of the models.