https://scholars.lib.ntu.edu.tw/handle/123456789/606324
標題: | Integrated cloud macro- and micro-physics schemes with kinetic treatment of condensation processes for global models | 作者: | Pi C.-J JEN-PING CHEN |
關鍵字: | Cloud macrophysics;Cloud microphysics;Liquid-ice partition;Mixed-phase supersaturation;Wegener–Bergeron–Findeisen process;Climate models;Condensation;Ice;Supersaturation;Cloud fraction;Cloud macrophysic;Community atmosphere model;Condensation process;Global climates;Grid scale;Wegener–bergeron–findeisen process;Liquids;atmospheric convection;climate modeling;cloud cover;cloud microphysics;CMIP;numerical model;supersaturation | 公開日期: | 2021 | 卷: | 261 | 來源出版物: | Atmospheric Research | 摘要: | A new parameterization scheme was developed to remove the saturation adjustment assumption and resolve the condensation process in the grid-scale cloud macrophysics scheme to build an integrated cloud microphysics scheme for global climate models. By applying a saturation prediction equation with calculations based on cloud hydrometeor properties, supersaturation or subsaturation can be determined within the macrophysics scheme. This treatment provides the basis for condensation calculation and allows the Wegener–Bergeron–Findeisen process to be resolved explicitly to render a realistic liquid–ice partition in mixed-phase clouds. The cloud fraction scheme was modified based on physics principles to complement the condensation scheme. The new scheme's performance was examined by incorporating it into the Community Atmosphere Model version 5 (CAM5) single-column model to simulate a Tropical Warm Pool–International Cloud Experiment (TWP–ICE) case. The results revealed that grid-scale cloud properties are sensitive to the condensation process's treatment, and the new scheme can produce a more reasonable cloud fraction and liquid–ice partition than the original CAM5. The theory-based scheme developed in this study may provide insight for addressing consistency between the macrophysical and microphysical schemes in global climate models. ? 2021 Elsevier B.V. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112123564&doi=10.1016%2fj.atmosres.2021.105745&partnerID=40&md5=32ae724753947bf73f372d0aa6d4ec96 https://scholars.lib.ntu.edu.tw/handle/123456789/606324 |
ISSN: | 01698095 | DOI: | 10.1016/j.atmosres.2021.105745 |
顯示於: | 大氣科學系 |
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