【摘要】 利用 PSU/NCAR的 MM5对 1 999年 6月下旬发生在江淮流域的梅雨锋暴雨进行数值模拟试验 ,研究 MM5中不同湿物理过程对 MM5模拟梅雨锋暴雨的影响。试验结果显示 :中尺度模式 MM5能一定程度再现一些观测的中尺度特征。对流参数化方案对网格格距的大小比较敏感 ;显式云物理方案考虑冰相后可明显改善模式对暴雨的模拟能力 ,尤其是采用 Reisner包含霰的混合相双变参数谱方案的双重嵌套网格对降水量的模拟取得较好的效果。更多还原

【Abstract】 The Meiyu rainstorms in the Changjiang-Huaihe valley from 22 June to 1 July 1999 are simulated by the meso-scale model MM5 developed by PSU/NCAR.The purpose is to investigate the influence of various moist physical schemes on the forecasted precipitation of Meiyu front rainstorm.The experimental results reveal that the MM5 can reproduce some of the observed meso-scale featuers.The convection parameterization schemes are sensitive to horizontal resolution.Explicit cloud microphysical schemes including ice processes can improve the simulation skill of the model,and especially the double-moment microphysical parameterization including graupel(Reisner) performs best in simulating precipitation.更多还原