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作 者:鲍艳松[1] 管琴 王智娟 闵锦忠[1] 戴有学 王文春 白玎玲
机构地区:[1]气象灾害教育部重点试验室(南京信息工程大学),江苏南京210044 [2]青海省黄南州气象局,青海同仁811300 [3]山西省临汾市气象局,山西临汾041000 [4]山西省气象信息网络中心,山西太原030006
出 处:《大气科学学报》2013年第5期527-536,共10页Transactions of Atmospheric Sciences
基 金:中国博士后科学基金(20090461131;201003596);山西省气象局开放式研究基金(SXKKFTQ-20090201);南京信息工程大学江苏省气象探测与信息处理重点实验室资助项目(KDX1103)
摘 要:利用中尺度模式MM5(The Fifth—Generation NCAR/Penn State Mesoscale Model)对山西省2009年发生的3场典型雾个例进行了数值模拟,探讨了物理过程参数化方案对雾数值模拟的影响,确定了基于模式模拟数据的雾判别指标,为该地区大雾数值预报系统的研制提供了理论基础。结果表明,综合考虑边界层方案和辐射方案对地表温度、高空温度、2m温度及相对湿度、10m风速、雾的空间分布、雾的生消过程、雾的发展高度等要素数值模拟的影响,边界层方案选用high-resolution planetary boundary layers cheme(HIR)方案、辐射方案选用Cloud方案时,雾数值模拟的结果与实况更为一致。综合分析多个典型雾个例的模拟结果,山西省境内雾的预报指标为:20m液态水含量为0.13~0.6g·kg^(-1),20~1500m高度大气层存在逆温层,10m风速小于4m·s^(-1)。This paper uses the mesoscale model (The Fifth-Generation NCAR/Penn State Mesoscale Model) to simulate three typical fog cases that occurred in 2009 in Shanxi Province, discusses the influ- ence of the physical parameterization schemes on simulating the fog process and generates some recog- nition rules about fog prediction based on simulation data. This study will provide a theoretical basis for a fog numerical forecast system. Some results were drawn:l )The HIR scheme and Cloud scheme were the optimal boundary layer scheme and radiance scheme, respectively, in order to consider the overall effects of various parameterization schemes in the simulation of land surface temperature, atmospheric temperature, atmospheric relative moisture at 2 m level, wind speed at 10 m level, fog distribution, fog procedure and the fog top height; 2) According to the results from the analysis of the three simulation experiments, the indices for fog prediction from the simulation data were that the liquid water content at 20 m height was more than O. 13 g/kg and less ers in the atmospheric layer at 20-1 500 m and than O. 6 g/kg, there existed temperature inversion lay- that wind speed near earth surface was less than 4 m/s.
分 类 号:P426.4[天文地球—大气科学及气象学]
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