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Aerosol-cloud-precipitation interactions in WRF model: Sensitivity to autoconversion parameterization
Xie Xiaoning1; Liu Xiaodong1,2
2015-02-01
发表期刊JOURNAL OF METEOROLOGICAL RESEARCH
ISSN2095-6037
卷号29期号:1页码:72-81
文章类型Article
摘要

Cloud-to-rain autoconversion process is an important player in aerosol loading, cloud morphology, and precipitation variations because it can modulate cloud microphysical characteristics depending on the participation of aerosols, and affects the spatio-temporal distribution and total amount of precipitation. By applying the Kessler, the Khairoutdinov-Kogan (KK), and the Dispersion autoconversion parameterization schemes in a set of sensitivity experiments, the indirect effects of aerosols on clouds and precipitation are investigated for a deep convective cloud system in Beijing under various aerosol concentration backgrounds from 50 to 10000 cm(-3). Numerical experiments show that aerosol-induced precipitation change is strongly dependent on autoconversion parameterization schemes. For the Kessler scheme, the average cumulative precipitation is enhanced slightly with increasing aerosols, whereas surface precipitation is reduced significantly with increasing aerosols for the KK scheme. Moreover, precipitation varies non-monotonically for the Dispersion scheme, increasing with aerosols at lower concentrations and decreasing at higher concentrations. These different trends of aerosol-induced precipitation change are mainly ascribed to differences in rain water content under these three autoconversion parameterization schemes. Therefore, this study suggests that accurate parameterization of cloud microphysical processes, particularly the cloud-to-rain autoconversion process, is needed for improving the scientific understanding of aerosol-cloud-precipitation interactions.

关键词Autoconversion Parameterization Aerosol-cloud-precipitation Interactions Numerical Simulation
WOS标题词Science & Technology ; Physical Sciences
DOI10.1007/s13351-014-4065-8
关键词[WOS]Part i ; Microphysics Scheme ; Climate Models ; Impacts ; Stratocumulus ; Condensation ; Atmosphere ; Weather
收录类别SCI
语种英语
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000349829500005
出版者SPRINGER HEIDELBERG
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/9408
专题古环境研究室
通讯作者Xie Xiaoning
作者单位1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Peoples R China
2.Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Dept Environm Sci & Technol, Xian 710049, Peoples R China
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Xie Xiaoning,Liu Xiaodong. Aerosol-cloud-precipitation interactions in WRF model: Sensitivity to autoconversion parameterization[J]. JOURNAL OF METEOROLOGICAL RESEARCH,2015,29(1):72-81.
APA Xie Xiaoning,&Liu Xiaodong.(2015).Aerosol-cloud-precipitation interactions in WRF model: Sensitivity to autoconversion parameterization.JOURNAL OF METEOROLOGICAL RESEARCH,29(1),72-81.
MLA Xie Xiaoning,et al."Aerosol-cloud-precipitation interactions in WRF model: Sensitivity to autoconversion parameterization".JOURNAL OF METEOROLOGICAL RESEARCH 29.1(2015):72-81.
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