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

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

doi:https://doi.org/10.5194/gmd-17-1869-2024

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.

Supplement

https://doi.org/10.5194/gmd-17-1869-2024-supplement

Data sets

RA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Drought-2018 ecosystem eddy covariance flux product for 52 stations in FLUXNET-Archive format Drought 2018 Team and ICOS Ecosystem Thematic Centre https://doi.org/10.18160/YVR0-4898

Model code and software

ekseo/CLASP_LoCo: Mixing diagram python code (v1.0) E. Seo https://doi.org/10.5281/zenodo.8117559

yinzun2000/CLASP_LoCo: V2 (Version v2) Zun Yin https://doi.org/10.5281/zenodo.8304156

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.