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.
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.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
29 Feb 2024
Methods for assessment of models |
| 29 Feb 2024
| 29 Feb 2024
Accurate assessment of land–atmosphere coupling in climate models requires high-frequency data output
Kirsten L. Findell
CORRESPONDING AUTHOR
Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton, NJ 08540, USA
Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton, NJ 08540, USA
Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ 18966, USA
Eunkyo Seo
Department of Environmental Atmospheric Sciences, Pukyong National University, Busan, 48513, Republic of Korea
Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, VA, 22030, USA
Paul A. Dirmeyer
Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, VA, 22030, USA
Nathan P. Arnold
NASA-GSFC, Global Modeling and Assimilation Office, Greenbelt, MD 20771, USA
Nathaniel Chaney
Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708, USA
Megan D. Fowler
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80305, USA
Meng Huang
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
David M. Lawrence
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80305, USA
Po-Lun Ma
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
Joseph A. Santanello Jr.
NASA-GSFC, Hydrological Sciences Laboratory, Greenbelt, MD 20771, USA
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Cited
10 citations as recorded by crossref.
- Decreasing dynamic predictability of global agricultural drought with warming climate H. Wu et al. 10.1038/s41558-025-02289-y
- Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe Y. Zhang et al. 10.1007/s00382-024-07475-w
- Contribution of land-atmosphere coupling in 2022 CONUS compound drought-heatwave events and implications for forecasting D. Yoon et al. 10.1016/j.wace.2024.100722
- A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al. 10.1002/asl.1268
- The intricacies of vegetation responses to changing moisture conditions J. Green 10.1111/nph.20182
- Deducing land–atmosphere coupling regimes from SMAP soil moisture P. Makhasana et al. 10.5194/hess-28-5087-2024
- Soil moisture–atmosphere coupling strength over central Europe in the recent warming climate T. Schwitalla et al. 10.5194/nhess-25-1405-2025
- Sensitivity of aridity diagnoses to land-atmosphere coupling in South America J. Eugenio Russmann et al. 10.1007/s00382-024-07413-w
- A major blind spot in drought risk financing: water services in low-income countries M. Enenkel et al. 10.3389/fclim.2024.1297002
- Impacts of land surface processes on summer extreme precipitation in Eastern China: Insights from CWRF simulations C. Zhang et al. 10.1016/j.atmosres.2024.107783
10 citations as recorded by crossref.
- Decreasing dynamic predictability of global agricultural drought with warming climate H. Wu et al. 10.1038/s41558-025-02289-y
- Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe Y. Zhang et al. 10.1007/s00382-024-07475-w
- Contribution of land-atmosphere coupling in 2022 CONUS compound drought-heatwave events and implications for forecasting D. Yoon et al. 10.1016/j.wace.2024.100722
- A shifting climate: New paradigms and challenges for (early career) scientists in extreme weather research M. Kretschmer et al. 10.1002/asl.1268
- The intricacies of vegetation responses to changing moisture conditions J. Green 10.1111/nph.20182
- Deducing land–atmosphere coupling regimes from SMAP soil moisture P. Makhasana et al. 10.5194/hess-28-5087-2024
- Soil moisture–atmosphere coupling strength over central Europe in the recent warming climate T. Schwitalla et al. 10.5194/nhess-25-1405-2025
- Sensitivity of aridity diagnoses to land-atmosphere coupling in South America J. Eugenio Russmann et al. 10.1007/s00382-024-07413-w
- A major blind spot in drought risk financing: water services in low-income countries M. Enenkel et al. 10.3389/fclim.2024.1297002
- Impacts of land surface processes on summer extreme precipitation in Eastern China: Insights from CWRF simulations C. Zhang et al. 10.1016/j.atmosres.2024.107783
Latest update: 23 Apr 2025
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.
We outline a request for sub-daily data to accurately capture the process-level connections...
