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利用MM5模式及NCEP资料对沈阳一次污染天气的数值模拟 被引量:8

Numerical simulation for a pollution weather process in Shenyang,Liaoning province using MM5 model and NCEP/NCAR data
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摘要 利用NCEP/NCAR再分析资料和中尺度天气模式MM5对2010年1月14—19日沈阳大气污染天气系统进行模拟分析。对此次天气过程的地面和高空气压场、地面至高空各高度层随时间变化的水平风场及垂直剖面风场、垂直方向温度廓线等气象要素进行分析和模拟,描述大气污染中天气系统的变化过程,分析造成大气污染的气象要素变化。结果表明:此次污染天气过程对应地面场为长白山高压、地形槽环流型;500 hPa高空天气形势为两槽一脊,地面风场主要受高压辐散气流控制;地面至高空不同高度的水平风场均有偏南风切变和偏西风切变,垂直剖面风场对应有下沉气流,地面至高空的温度廓线出现明显的逆温。这些气象条件共同造成了持续污染天气。而500 hPa位势高度场持续长时间两槽一脊的环流形势,是造成长时间污染天气的主要原因。 Based on the NCEP/NCAR reanalysis data and the meso-scale weather model MM5,a pollution weather process in Shenyang from 14-19 January 2010 was simulated.Some meteorological elements were analyzed and simulated and these include the ground and upper air pressure fields,the horizontal and vertical wind fields from the ground to the upper level as well as their variation with time,and the vertical temperature profile etc..The variation of weather system was described in this process,and the meteorological elements causing atmospheric pollution were analyzed.The results indicate that the corresponding ground filed in this process is the Changbai Mountain high pressure and topographic trough circulation type.The upper weather situation is two troughs and one ridge at 500 hPa.The ground wind field is controlled by high pressure divergence airflow.The horizontal wind fields from the ground to the upper all have the southerly wind shear and westerly wind shear,and there is the corresponding downdraft in the vertical wind field.The temperature profile shows a clearly inversion from the ground to the upper level.The above meteorological conditions together cause the persistent pollution weather,while the lasting weather situation with two troughs and one ridge at 500 hPa geopotential height field are the main reason of this process.
出处 《气象与环境学报》 2012年第4期8-15,共8页 Journal of Meteorology and Environment
基金 中央级公益性科研院所基本科研业务费(2011IAE-CMA10) 国家自然科学基金(40975084) 中国气象局公益性行业(气象)科研专项(GYHY200806020)共同资助
关键词 NCEP/NCAR资料 污染天气 数值模拟 沈阳 NCEP/NCAR reanalysis data Pollution weather Numerical simulation Shenyang
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