气溶胶对北京地区云和降水影响的模拟研究

发布时间：2018-10-24 18:26

【摘要】：利用中尺度气象模式WRF中一个含有云凝结核CCN活化过程的双参数云微物理方案(NSSL 2-mom+ccn),研究不同气溶胶导致的初始CCN浓度对云物理和降水过程的影响。完整地模拟了北京市2015年7月16-17日一次典型的从小雨到暴雨连续降水过程,包括降水主要集中的时间段,雨带的西北—东南走向,降水初期普降小雨、后期转变为中到大雨甚至局部地区出现暴雨,24小时最大累积降水量可以达到65 mm,模拟结果与实测符合较好。模拟得到的区域平均累积降水量随着气溶胶的增加而减少,与其他研究根据地面降水与能见度资料统计分析的结论相一致。比较详细地给出了气溶胶对云的微物理结构、水成物时空分布以及微物理过程的转化率的影响。
[Abstract]:A two-parameter cloud microphysics scheme (NSSL 2-mom ccn),) was used to study the effect of initial CCN concentration induced by different aerosols on cloud physics and precipitation processes using a two-parameter cloud microphysics scheme (NSSL 2-mom ccn),) in a mesoscale meteorological model (WRF) containing the activation process of cloud condensation nucleus (CCN). A typical continuous precipitation process from light rain to heavy rain on July 16-17, 2015 in Beijing has been completely simulated, including the time period when the precipitation is mainly concentrated, the northwest to southeast trend of the rain belt, and the general light rain in the early stage of precipitation. The maximum accumulated precipitation in 24 hours can reach 65 mm, which is in good agreement with the measured data. The simulated regional average accumulated precipitation decreases with the increase of aerosol, which is consistent with the conclusion of other studies based on the statistical analysis of surface precipitation and visibility data. The effects of aerosol on the microphysical structure of cloud, the spatial and temporal distribution of hydroformates and the conversion rate of microphysical processes are given in detail.
【作者单位】：中国气象科学研究院灾害天气国家重点实验室;中国气象科学研究院中国气象局云雾物理实验室;中国科学院大学;
【基金】：国家自然科学基金项目(41275148)
【分类号】：X513;P426

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