Abstract
Previous studies have shown that accurate descriptions of the cloud droplet effective radius (Re) and the autoconversion process of cloud droplets to raindrops (Ar) can effectively improve simulated clouds and surface precipitation, and reduce the uncertainty of aerosol indirect effects in GCMs. In this paper, we implement cloud microphysical schemes including two-moment Ar and Re considering relative dispersion of the cloud droplet size distribution into version 4.1 of the Institute of Atmospheric Physics’s atmospheric GCM (IAP AGCM 4.1), which is the atmospheric component of the Chinese Academy of Sciences’ Earth System Model. Analysis of the effects of different schemes shows that the newly implemented schemes can improve both the simulated shortwave and longwave cloud radiative forcings, as compared to the standard scheme, in IAP AGCM 4.1. The new schemes also effectively enhance the large-scale precipitation, especially over low latitudes, although the influences of total precipitation are insignificant for different schemes. Further studies show that similar results can be found with the Community Atmosphere Model, version 5.1.
摘 要
前人的研究结果指出云滴有效半径和云水自动转化过程的精确参数化可以有效的提高云和降水的模拟, 同时也可以减少模式给出的气溶胶间接效应的不确定性. 本研究在 IAP AGCM 4.1 中耦合了考虑云滴谱离散度的云滴有效半径和双参数云水自动转化过程的参数化方案. 研究结果显示, 该新云微物理方案可以明显的提高云的短波辐射和长波辐射的模拟. 另外, 新方案可以有效的增加模式的大尺度降水, 特别是低纬度大尺度降水. 进一步的结果表明, 耦合新方案的 CAM5.1 同样也可以更好模拟云的辐射强迫.
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Acknowledgements
This study was partially supported by the National Key Research and Development Program of China (Grant No. 2016YFA0601904) and the National Natural Science Foundation of China (Grant Nos. 41690115 and 41572150). He ZHANG is supported by the National Major Research High Performance Computing Program of China (Grant No. 2016YFB0200800) and the National Natural Science Foundation of China (Grant No. 61432018). Yiran PENG is supported by a “973” project (Grant No. 2014CB441302). Yangang LIU is supported by the US Department of Energy’s Atmospheric System Research program.
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Xie, X., Zhang, H., Liu, X. et al. Role of microphysical parameterizations with droplet relative dispersion in IAP AGCM 4.1. Adv. Atmos. Sci. 35, 248–259 (2018). https://doi.org/10.1007/s00376-017-7083-5
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DOI: https://doi.org/10.1007/s00376-017-7083-5