可用于城市空气污染预报的嵌套气象模式系统

Nested Meteorological Model System for Air Pollution Prediction

基于区域大气模拟系统 ,采用网格嵌套方法 ,发展了由区域尺度气象模式 (R αM )和城市尺度气象模式 (C βM )组成的嵌套模式预报系统 ,为空气污染预报提供必需的气象要素场。共进行了 5组预报实验 ,并分别与对应区域和城市尺度的两类静力平衡预报模式 :Eta模式 (区域尺度 )和M βM (城市尺度 )的预报结果进行了比较研究。结果表明 ,R αM和C βM预报结果更能准确合理地反映天气系统的实际变化规律 ,其预报效果明显好于Eta模式和M βM。

Based on the Regional Atmospheric Modeling System and by means of Grid Nesting technique, a nested numerical forecasting model system, the City-scale Meteorology Model(C-βM) nested to the Regional-scale Meteorology Model(R-αM), has been developed, which can supply meteorology data for air pollution forecast. Comparisons between five practical forecast results from R-αM and C-βM and two corresponding outputs of hydrostatic models--Eta model (only regional-scale forecasting model) and M-βM (only city-scale forecasting model) are made. The results show that the forecast made by R-αM and C-βM can more accurately reflect the evolution rules of the practical synoptic system than those of Eta model and M-βM. The former two model-predicted results are both more reasonable and better than those of Eta model and M-βM apparently. The nested model system supplies a good work-platform for air pollution operational prediction.