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层状云催化后过冷水分布与演变规律的数值模拟
引用本文:刘晓莉,牛生杰,陈跃.层状云催化后过冷水分布与演变规律的数值模拟[J].大气科学,2006,30(4):561-569.
作者姓名:刘晓莉  牛生杰  陈跃
作者单位:1.南京信息工程大学大气物理与大气环境实验室,南京,210044
基金项目:国家自然科学基金资助项目40537034、40175003,南京信息工程大学气象灾害国家重点实验室培育点KLME050217,国家十五科技攻关项目2001BA610A06
摘    要:在郭学良等(1999年)发展的层状云雨滴分档模式中加入冰晶繁生过程,模拟了碘化银和液态二氧化碳的催化效率以及催化后云中过冷水的分布与演变过程.结果表明:碘化银和液态二氧化碳在5200~5600 m高度上的催化效率相当,最大达到11.1%;液态二氧化碳在2600~3000 m高度层的催化效率明显增大,达到14.2%;模式云被催化后,云中云水含量在200 min都较未催化时增长0.05 g/m3以上,表现出云中过冷水被消耗后的恢复趋势;碘化银和液态二氧化碳对云体催化后,云中水汽含量减少0.5~2 g/m3,对过冷水的恢复作出贡献;催化过程使得模式云中雨滴浓度在210 rin时较未催化时减少73%,在240 min时较未催化时增加309%.得出了两点结论:(1)模式云被催化后,云中过冷水在200 rin表现出恢复趋势,云中水汽对过冷水的恢复过程作出了贡献;(2)在过冷水较多的区域播撒液态二氧化碳可以取得较好的催化效率.

关 键 词:层状云    过冷水    时间尺度    数值模拟
文章编号:1006-9895(2005)04-0561-09
收稿时间:2005-01-04
修稿时间:2005-01-042005-11-09

Numerical Simulation of Distribution and Evolution of Supercooled Liquid Water in Seeding Stratiform Cloud
LIU Xiao-Li,NIU Sheng-Jie and CHEN Yue.Numerical Simulation of Distribution and Evolution of Supercooled Liquid Water in Seeding Stratiform Cloud[J].Chinese Journal of Atmospheric Sciences,2006,30(4):561-569.
Authors:LIU Xiao-Li  NIU Sheng-Jie and CHEN Yue
Abstract:Two materials are usually used for cold cloud seeding agents.One is coolant agent such as solid,liquid CO_(2)or N_(2),and they can generate ice crystals by strong cooling,the other agent,such as AgI,can be ice-forming nuclei.The important advantage of the coolant agent is that a number of generated ice crystals is nearly independent of the temperature. Since dry ice pellets have high fall velocity and have to be dropped from high altitudes,Fukuta(1996a,b) suggested a method to seed the liquid CO_(2) horizontally at the lower level of the supercooled portion of cloud.The objectives of this study are to compare the effect of the newly proposed cloud(seeding agent-liquid CO_(2) with current widely used seeding agent-AgI on cloud dynamics,cloud microphysics and precipitation evolution,especially the distribution and evolution of supercooled liquid water in seeded stratiform cloud.A one-dimensional rain category model developed by Guo Xueliang et al.(1999) is employed in this study with ice multiplication available.The contact and deposition nucleation processes of the seeding agents are considered as only inertial impact and Brownian collection are considered as a possible mechanism for contact nucleation.As a cooling agent,the cooling process due to vaporization and heat conduction between the seeded air and the liquid CO_(2) droplets are also included into this model to explore the cooling effect of liquid CO_(2) on the seeded cloud.Seeding rate is set to 0.06 g/s for both AgI and liquid CO_(2) in all seeded cases and seeding was starting at 170 min.Both AgI and liquid CO_(2) were released continuously for 10 min,20 min and 30 min in 52005600 m and 26003000 m levels,respectively.The simulations indicate that the liquid CO_(2) and AgI seeding in 52005600 m levels have nearly the same seeding effect which can reach to 11.1%,while that of liquid CO_(2)seeding at 26003000 m levels can reach 14.2%;and the cooling effect of liquid CO_(2) is found to be very faintness at the same time;when it comes to the seeding effect on cloud microphysics,growth of super cooled water begin at 200 min after depleted by seeding process;and the vapour content reduces 0.5 g/m~(3)2 g/m~(3) after seeding and contribute to the growth process of super cooled water;the concentration of rain droplet reduces 73% at 210 min and increases 309% at 230 min as compared to the condition without seeding.The conclusions can be made that:(1) Growth process of supercooled cloud water appears at 200 min after depleted with the vapour content contributed to the growth process;(2) better seeding effect can be achieved by seeding liquid CO_(2) in the region with more supercooled liquid water.
Keywords:stratiform cloud  distribution and evolution of supercooled water  time scale  numerical simulation
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