Jing Yang, Jianqiao Lu, Yuting Deng, Yong Wang, Chunsong Lu, Yan Yin, Zhien Wang, Xiaoqin Jing, Kang Yang
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引用次数: 0
Abstract
Accurate representation of cloud phase partitioning is critical for understanding the cloud feedback to climate change, but the supercooled liquid fraction is often underestimated in global climate models, in part due to the assumption of homogeneous distributions of hydrometeors in mixed-phase clouds. In this study, we take into account the heterogeneous liquid-ice mixing in modeling the ice depositional growth using airborne in situ measurements. The impact of heterogeneous liquid-ice mixing on the Wegener-Bergeron-Findeisen process is parameterized as the fraction of ice that is mixed with liquid water, which is a function of liquid-ice mixing homogeneity and liquid fraction. The liquid-ice mixing homogeneity, quantified using the information entropy theory, is parameterized using the total condensed water content and temperature. With this observationally constrained parameterization incorporated in the Community Atmospheric Model version 6, the modeled cloud phase partitioning and cloud radiative forcing are improved.
期刊介绍:
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.