本文已被:浏览 1608次 下载 2356次
投稿时间:2015-09-16 修订日期:2016-01-01
投稿时间:2015-09-16 修订日期:2016-01-01
中文摘要: 为了比较不同微物理方案、边界层方案和陆面方案对大雾过程模拟效果的影响,本文利用WRF模式(Weather Research and Forecasting Model)对江苏省高速公路网2011—2013年发生的21场大雾过程进行了数值模拟,探讨了模式不同参数化方案对大雾过程数值模拟的影响,确定了基于模式输出结果的成雾判别指标。研究结果表明:(1)综合考虑微物理方案、边界层方案和陆面方案对地面气象要素、高空温度及雾区分布等要素的影响,微物理方案选用WDM6方案,边界层方案选用QNSE方案,陆面方案选用SLAB方案时,雾的数值模拟效果最优;(2)在最优参数化方案设置下,兼顾气象业务部门有限的计算资源和较高的模式垂直分辨率,对21个大雾个例发生的大气背景进行数值模拟和诊断分析后发现:江苏省境内雾的预报指标应为模式最低层(30~40 m高度)液态含水量>0.015 g·kg-1,或2 m相对湿度>95%,且10 m风速<3 m·s-1。
中文关键词: 高速公路,大雾,数值模拟,参数化方案,成雾预报指标
Abstract:In order to compare different effects on simulations of heavy fog processes under various microphysics, planetary boundary layer and land surface schemes, 21 heavy fog events selected from the observation data of expressway weather monitoring system from 2011 to 2013 were simulated using WRF (Weather Research and Forecasting Model). Influence of different parameterization schemes on simulating these fog events was discussed and the forecasting indexes of fog formation based on the output physical variables of WRF were determined. The results are as follows: (1) The simulation of the whole fog occurring processes is the best when selecting WDM6 scheme as the microphysics scheme, QNSE scheme as the planetary boundary layer scheme and the SLAB scheme as the land surface scheme considering the effects of different parameterization schemes in simulating the near surface meteorological factors, the air temperature in the upper level atmosphere and the distribution of fog areas comprehensively. (2) Under the optimum configure of the parameterization schemes and giving consideration to the limited computing resources of the meteorological professional departments in China and the suitable vertical resolution of the model,the analysis on the numerical simulation results of atmospheric backgrounds during the 21 heavy fog events demonstrates that the forecasting indexes of heavy fog on the expressway of Jiangsu Province are that liquid water content at lowest model level (30-40 m) is more than 0.015 g·kg-1, or 2 m relative humidity is more than 95% and 10 m wind speed is less than 3 m·s-1 at the same time.
文章编号: 中图分类号: 文献标志码:
基金项目:公益性行业(气象)科研专项(GYHY201306043和GYHY201406029)、“十二五”国家科技支撑计划(2014BAG01B01)和江苏省科技支撑计划(BE2015732)共同资助
引用文本:
黄政,袁成松,包云轩,焦圣明,周林义,谢晓金,王琳,2016.基于不同参数化方案的高速公路大雾过程的数值模拟试验[J].气象,42(8):944-953.
HUANG Zheng,YUAN Chengsong,BAO Yunxuan,JIAO Shengming,ZHOU Linyi,XIE Xiaojin,WANG Lin,2016.Numerical Simulations of Heavy Fog Processes on Expressways Based on Different Parameterization Schemes[J].Meteor Mon,42(8):944-953.
黄政,袁成松,包云轩,焦圣明,周林义,谢晓金,王琳,2016.基于不同参数化方案的高速公路大雾过程的数值模拟试验[J].气象,42(8):944-953.
HUANG Zheng,YUAN Chengsong,BAO Yunxuan,JIAO Shengming,ZHOU Linyi,XIE Xiaojin,WANG Lin,2016.Numerical Simulations of Heavy Fog Processes on Expressways Based on Different Parameterization Schemes[J].Meteor Mon,42(8):944-953.