Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/gmd-17-1869-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-1869-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
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.

Viewed

Total article views: 5,070 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,686 1,247 137 5,070 245 168 274
  • HTML: 3,686
  • PDF: 1,247
  • XML: 137
  • Total: 5,070
  • Supplement: 245
  • BibTeX: 168
  • EndNote: 274
Views and downloads (calculated since 12 Oct 2023)
Cumulative views and downloads (calculated since 12 Oct 2023)

Viewed (geographical distribution)

Total article views: 5,070 (including HTML, PDF, and XML) Thereof 4,999 with geography defined and 71 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 May 2026
Download
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.
Read more
Share