CAJ | 학술논문

提采用 WRF模式系统模拟了2013年1月22—23日华北大雾天气过程，针对不同的边界层方案、微物理方案和陆面方案，设计了三组数值试验方案，并利用地面观测资料对其模拟效果进行了对比分析，找出了部分最适合于此次大雾过程模拟的参数化方案，它们分别是TEMF边界层方案、Goddard 微物理方案和RUC 陆面方案。此次数值试验结果还表明，WRF模式对大雾天气地面风速风向的模拟能力较好，其他气象要素存在一定的误差，用10 m液态水含量和10 m相对湿度指标共同诊断大雾天气能有效提高大雾判识准确率。
제채용 WRF모식계통모의료2013년1월22—23일화북대무천기과정，침대불동적변계층방안、미물리방안화륙면방안，설계료삼조수치시험방안，병이용지면관측자료대기모의효과진행료대비분석，조출료부분최괄합우차차대무과정모의적삼수화방안，타문분별시TEMF변계층방안、Goddard 미물리방안화RUC 륙면방안。차차수치시험결과환표명，WRF모식대대무천기지면풍속풍향적모의능력교호，기타기상요소존재일정적오차，용10 m액태수함량화10 m상대습도지표공동진단대무천기능유효제고대무판식준학솔。
The WRF model system is utilized to simulating the fog event seen in North China in 22-23 Jan-uary 2013.Three numerical simulation experiments about PBL schemes,Microphysics schemes,and LSM schemes are designed,and their simulative effects are evaluated by comparing with surface observations. The result shows that the most suitable parameterizations are TEMF PBL,Goddard Microphysics and RUC LSM.It also reveals that WRF model shows better capability in simulating surface wind than other surface elements,and the combination of 10 m relative humidity and 10 m liquid water content (LWC)can effectively improve the accuracy in fog identification.