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Mechanisms of tropical precipitation biases in climate models

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Abstract

We investigate the possible causes for inter-model spread in tropical zonal-mean precipitation pattern, which is divided into hemispherically symmetric and anti-symmetric modes via empirical orthogonal function analysis. The symmetric pattern characterizes the leading mode and is tightly related to the seasonal amplitude of maximum precipitation position. The energetic constraints link the symmetric pattern to the seasonal amplitude in cross-equatorial atmospheric energy transport \( {\text{AET}}_{0} \) and the annual-mean equatorial net energy input \( {\text{NEI}}_{0} \). Decomposition of \( {\text{AET}}_{0} \) into the energetics variables indicates that the inter-model spread in symmetric precipitation pattern is correlated with the inter-model spread in clear-sky atmospheric shortwave absorption, which most likely arises due to differences in radiative transfer parameterizations rather than water vapor patterns. Among the components that consist \( {\text{NEI}}_{0} \), the inter-model spread in symmetric precipitation pattern is mostly associated with the inter-model spread in net surface energy flux in the equatorial region, which is modulated by the strength of cooling by equatorial upwelling. Our results provide clues to understand the mechanism of tropical precipitation bias, thereby providing guidance for model improvements.

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Acknowledgements

SMK and HK were supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2016R1A1A3A04005520). AGP was supported by the Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling Program of the U.S. Department of Energy’s Office of Biological & Environmental Research (BER) via NSF IA 1844590; NCAR is sponsored by the National Science Foundation (NSF) under Cooperative Agreement No. 1947282. AD’s work was supported by the National Science Foundation Paleo Perspective on Climate Change (P2C2) Grant number AGS-1702827. All CMIP data were acquired from Earth System Grid Federation (ESGF) node hosted by Lawrence Livermore National Laboratory (LLNL). The authors express special thanks to all of the modeling groups who make CMIP data available and two anonymous reviewers for helpful comments.

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Correspondence to Sarah M. Kang.

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Kim, H., Kang, S.M., Takahashi, K. et al. Mechanisms of tropical precipitation biases in climate models. Clim Dyn 56, 17–27 (2021). https://doi.org/10.1007/s00382-020-05325-z

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  • DOI: https://doi.org/10.1007/s00382-020-05325-z

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