中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Numerical simulation of clouds and precipitation depending on different relationships between aerosol and cloud droplet spectral dispersion

文献类型:期刊论文

作者Xie, XN (Xie, Xiaoning)[ 1 ]; Liu, XD (Liu, Xiaodong)[ 1,2 ]; Peng, YR (Peng, Yiran)[ 3 ]; Yue, ZG (Yue, Zhiguo)[ 6 ]; Wang, Y (Wang, Yi)[ 4,5 ]; Li, XZ (Li, Xinzhou)[ 1 ]
刊名TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY
出版日期2013
卷号65页码:19054-19054
关键词Aerosol Indirect Effects Cloud Droplet Spectral Dispersion Autoconversion Parameterization Deepconvective Systems Two-moment Bulk Microphysics Scheme
文献子类期刊论文
英文摘要

The aerosol effects on clouds and precipitation in deep convective cloud systems are investigated using the Weather Research and Forecast (WRF) model with the Morrison two-moment bulk microphysics scheme. Considering positive or negative relationships between the cloud droplet number concentration (N(c)) and spectral dispersion (epsilon), a suite of sensitivity experiments are performed using an initial sounding data of the deep convective cloud system on 31 March 2005 in Beijing under either a maritime ('clean') or continental ('polluted') background. Numerical experiments in this study indicate that the sign of the surface precipitation response induced by aerosols is dependent on the epsilon-N(c) relationships, which can influence the autoconversion processes from cloud droplets to rain drops. When the spectral dispersion epsilon is an increasing function of N(c), the domain-average cumulative precipitation increases with aerosol concentrations from maritime to continental background. That may be because the existence of large-sized rain drops can increase precipitation at high aerosol concentration. However, the surface precipitation is reduced with increasing concentrations of aerosol particles when epsilon is a decreasing function of N(c). For the epsilon-N(c) negative relationships, smaller spectral dispersion suppresses the autoconversion processes, reduces the rain water content and eventually decreases the surface precipitation under polluted conditions. Although differences in the surface precipitation between polluted and clean backgrounds are small for all the epsilon-N(c) relationships, additional simulations show that our findings are robust to small perturbations in the initial thermal conditions.

语种英语
源URL[http://ir.ieecas.cn/handle/361006/10023]  
专题地球环境研究所_古环境研究室
通讯作者Xie, XN (Xie, Xiaoning)[ 1 ]
作者单位1.Department of Geography and School of Global Studies, University of Sussex, Falmer, Brighton, UK;
2.Canadian Centre for Climate Modelling and Analysis, 3964 Gordon Head Road, Victoria, BC V8N 3X3, Canada;
3.Department of Environmental Science andTechnology, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, China;
4.State Key Laboratory of Loess and Quaternary Geology, Institute of EarthEnvironment, Chinese Academy of Sciences, Xi’an, China;
5.WeatherModification Office of Shaanxi Province, Xi’an, China
推荐引用方式
GB/T 7714
Xie, XN ,Liu, XD ,Peng, YR ,et al. Numerical simulation of clouds and precipitation depending on different relationships between aerosol and cloud droplet spectral dispersion[J]. TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY,2013,65:19054-19054.
APA Xie, XN ,Liu, XD ,Peng, YR ,Yue, ZG ,Wang, Y ,&Li, XZ .(2013).Numerical simulation of clouds and precipitation depending on different relationships between aerosol and cloud droplet spectral dispersion.TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY,65,19054-19054.
MLA Xie, XN ,et al."Numerical simulation of clouds and precipitation depending on different relationships between aerosol and cloud droplet spectral dispersion".TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY 65(2013):19054-19054.

入库方式: OAI收割

来源:地球环境研究所

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