Articles | Volume 27, issue 4
https://doi.org/10.5194/hess-27-861-2023
https://doi.org/10.5194/hess-27-861-2023
Research article
 | 
23 Feb 2023
Research article |  | 23 Feb 2023

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

Zun Yin, Kirsten L. Findell, Paul Dirmeyer, Elena Shevliakova, Sergey Malyshev, Khaled Ghannam, Nina Raoult, and Zhihong Tan

Data sets

ERA5 hourly data on single levels from 1959 to present Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. https://doi.org/10.24381/cds.adbb2d47

Model code and software

Coupling Metrics Toolkit A. B. Tawfik https://github.com/abtawfik/coupling-metrics

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Short summary
Land–atmosphere (L–A) interactions typically focus on daytime processes connecting the land state with the overlying atmospheric boundary layer. However, much prior L–A work used monthly or daily means due to the lack of daytime-only data products. Here we show that monthly smoothing can significantly obscure the L–A coupling signal, and including nighttime information can mute or mask the daytime processes of interest. We propose diagnosing L–A coupling within models or archiving subdaily data.