CCN浓度对安徽一次强对流天气影响的数值模拟
投稿时间:2017-09-20  修订日期:2018-01-09  点此下载全文
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闵锦忠 南京信息工程大学 气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心, 江苏 南京 210044  
靳奎峰 南京信息工程大学 气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心, 江苏 南京 210044
广东省气象公共服务中心, 广东 广州 510641 
765046944@qq.com 
陈虹杏 广东省气象探测数据中心, 广东 广州 510641  
庄潇然 南京信息工程大学 气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心, 江苏 南京 210044  
丁伟 南通市气象局, 江苏 南通 22600  
基金项目:国家重点基础研究发展计划项目(2013CB430102);国家自然科学基金重点资助项目(41430427);江苏省高校自然科学重大基础研究项目(1KJA170001);国家重点研发计划(2017YFC1502103)
中文摘要:应用WRF(Weather Research and Forecasting)模式,采用NSSL初始CCN数据(C=600 cm-3k=0.6)及南京北郊观测拟合数据(C=4 000 cm-3k=0.47)对安徽省一次强对流天气进行模拟。结果发现CCN浓度(CASE2)增大后,所模拟的最大雷达反射率较初始情况(CASE1),在强度和云体宽度上更加接近实况,且CASE2生成了更多强对流单体;CASE2的降水落区较CASE1更为接近实况,且中心雨强大于CASE1,这主要由CASE2中第一个单体更强的降水导致,而两者第二个单体贡献值相近。在过程初期,CASE2中云水、冰晶粒子数浓度比CASE1更大,使得云水粒子冻结时释放出比CASE1更多的热量,从而使得云体发展更为旺盛;两者单位质量中雪晶质量和数浓度相差不大;CASE2比CASE1霰雹粒子比含水量更高,从而在融化过程中形成了更强的冷云降水。
中文关键词:云凝结核浓度  强对流天气  数值模拟
 
Numerical simulation of the influence of CCN concentration on a strong convective weather event in Anhui
Abstract:Based on the WRF mesoscale numerical model and by using the initial cloud condensation nuclei(CCN) data in NSSL(C=600 cm-3k=0.6)and the observation fitting data from the northern suburbs of Nanjing(C=4 000 cm-3,k=0.47),the paper simulated a strong convective weather event in Anhui Province.The maximum simulated radar reflectivity of CASE1 was 50-55,while that of CASE2 was 55-60.,It was closer to the actual situation in CASE2 than in CASE1 in terms of intensity and width of the cloud,and CASE2 reflected stronger echo.The precipitation area of CASE2 was closer to the reality than that of CASE1,and the precipitation intensity was stronger than that of CASE1.The occurrence of multiple strong echoes made the distribution of heavy rainfall area wider in CASE2.In early stage of CASE2,larger cloud water and ice crystal particle number concentration released more heat when the water particles were frozen and thus made the cloud develop more vigorously than in CASE1.The snow crystal mass and number concentration were similar in the two cases.In CASE2,the water content ratio of graupel and hail particles was higher than that in CASE1,and thus produced stronger cold could precipitation in melting process.
keywords:concentration of cloud condensation nucleus  convective weather  numerical simulation
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