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Numerical simulation of clouds and precipitation depending on different relationships between aerosol and cloud droplet spectral dispersion
Xie, XN (Xie, Xiaoning)[ 1 ]; Liu, XD (Liu, Xiaodong)[ 1,2 ]; Peng, YR (Peng, Yiran)[ 3 ]; Wang, Y (Wang, Yi)[ 4,5 ]; Yue, ZG (Yue, Zhiguo)[ 6 ]; Li, XZ (Li, Xinzhou)[ 1 ]
2013
Source PublicationTELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY
Volume65Pages:19054-19054
Subtype期刊论文
Abstract

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.

KeywordAerosol Indirect Effects Cloud Droplet Spectral Dispersion Autoconversion Parameterization Deepconvective Systems Two-moment Bulk Microphysics Scheme
Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/10023
Collection古环境研究室
Corresponding AuthorXie, XN (Xie, Xiaoning)[ 1 ]
Affiliation1.State Key Laboratory of Loess and Quaternary Geology, Institute of EarthEnvironment, Chinese Academy of Sciences, Xi’an, China;
2.Department of Environmental Science andTechnology, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, China;
3.Canadian Centre for Climate Modelling and Analysis, 3964 Gordon Head Road, Victoria, BC V8N 3X3, Canada;
4.Department of Geography and School of Global Studies, University of Sussex, Falmer, Brighton, UK;
5.WeatherModification Office of Shaanxi Province, Xi’an, China
Recommended Citation
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 ,Wang, Y ,Yue, ZG ,&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.
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