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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Daytime-only mean data enhance understanding of land–atmosphere coupling
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Cited articles

Alizadeh, M. R., Adamowski, J., Nikoo, M. R., AghaKouchak, A., Dennison, P., and Sadegh, M.: A century of observations reveals increasing likelihood of continental-scale compound dry-hot extremes, Sci. Adv., 6, eaaz4571, https://doi.org/10.1126/sciadv.aaz4571, 2020. 
Benson, D. O. and Dirmeyer, P. A.: Characterizing the relationship between temperature and soil moisture extremes and their role in the exacerbation of heatwaves over the contiguous United States, J. Climate, 34, 2175–2187, https://doi.org/10.1175/JCLI-D-20-0440.1, 2021. 
Benson, D. O. and Dirmeyer, P. A.: The soil moisture – surface flux relationship as a factor for extreme heat predictability in subseasonal to seasonal forecasts, J. Climate, 36, 6375–6392, https://doi.org/10.1175/JCLI-D-22-0447.1, 2023. 
Berg, A., Findell, K. L., Lintner, B. R., Gentine, P., and Kerr, C.: Precipitation sensitivity to surface heat fluxes over North America in reanalysis and model data. J. Hydrometeorol., 14, 722–743, https://doi.org/10.1175/JHM-D-12-0111.1, 2013. 
Berg, A., Lintner, B. R., Findell, K. L., and Giannini, A.: Soil Moisture Influence on Seasonality and Large-Scale Circulation in Simulations of the West African Monsoon, J. Climate, 30, 2295–2317, https://doi.org/10.1175/JCLI-D-15-0877.1, 2017. 
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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.
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