Articles | Volume 15, issue 8
https://doi.org/10.5194/gmd-15-3347-2022
https://doi.org/10.5194/gmd-15-3347-2022
Model evaluation paper
 | 
22 Apr 2022
Model evaluation paper |  | 22 Apr 2022

Assessment of the sea surface temperature diurnal cycle in CNRM-CM6-1 based on its 1D coupled configuration

Aurore Voldoire, Romain Roehrig, Hervé Giordani, Robin Waldman, Yunyan Zhang, Shaocheng Xie, and Marie-Nöelle Bouin

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Cited articles

Abdel-Lathif, A. Y., Roehrig, R., Beau, I., and Douville, H.: Single-Column Modeling of Convection During the CINDY2011/DYNAMO Field Campaign With the CNRM Climate Model Version 6, J. Adv. Model. Earth Sy., 10, 578–602, https://doi.org/10.1002/2017MS001077, 2018. 
Acreman, D. M. and Jeffery, C. D.: The use of Argo for validation and tuning of mixed layer models, Ocean Model., 19, 53–69, https://doi.org/10.1016/j.ocemod.2007.06.005, 2007. 
Barnier, B., Siefridt, L., and Marchesiello, P.: Thermal forcing for a global ocean circulation model using a three-year climatology of ECMWF analyses, J. Mar. Syst., 6, 363–380, https://doi.org/10.1016/0924-7963(94)00034-9, 1995. 
Bechtold, P., Krueger, S. K., Lewellen, W. S., Meijgaard, E. van, Moeng, C.-H., Randall, D. A., Ulden, A. van, and Wang, S.: Modeling a Stratocumulus-Topped PBL: Intercomparison among Different One-Dimensional Codes and with Large Eddy Simulation, B. Am. Meteorol. Soc., 77, 2033–2042, https://doi.org/10.1175/1520-0477-77.9.2033, 1996. 
Bellenger, H., Drushka, K., Asher, W., Reverdin, G., Katsumata, M., and Watanabe, M.: Extension of the prognostic model of sea surface temperature to rain-induced cool and fresh lenses, J. Geophys. Res.-Oceans, 122, 484–507, https://doi.org/10.1002/2016JC012429, 2017. 
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Short summary
A single-column version of the global climate model CNRM-CM6-1 has been designed to ease development and validation of the model physics at the air–sea interface in a simplified environment. This model is then used to assess the ability to represent the sea surface temperature diurnal cycle. We conclude that the sea surface temperature diurnal variability is reasonably well represented in CNRM-CM6-1 with a 1 h coupling time step and the upper-ocean model resolution of 1 m.