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 | |
发表期刊 | TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY |
卷号 | 65页码:19054-19054 |
文章类型 | 期刊论文 |
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. |
关键词 | Aerosol Indirect Effects Cloud Droplet Spectral Dispersion Autoconversion Parameterization Deepconvective Systems Two-moment Bulk Microphysics Scheme |
收录类别 | SCI |
语种 | 英语 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ieecas.cn/handle/361006/10023 |
专题 | 古环境研究室 |
通讯作者 | Xie, XN (Xie, Xiaoning)[ 1 ] |
作者单位 | 1.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 |
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 ,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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