梅雨锋暴雨研究中的四维变分同化试验

Four\|Dimensional Variational Assimilation Experiments of Meiyu Front Rainstorm

作者利用PSU/NCAR的MM5数值预报模式及其伴随模式,以中国1999年6月23日～24日的一次梅雨锋暴雨过程为个例,根据气象要素与同化窗口之间的配置差异,作了3组变分同化试验。试验结果表明:4DVAR方法在提高梅雨锋暴雨的数值预报水平上具有重要的作用。

By using a nonhydrostatic version of the Fifth\|Generation NCAR/Penn State Mesoscale Model (MM5) and its adjoint model, three sets of four\|dimensional variational data assimilation experiments for the Meiyu front rainstorm from 23 to 24 June 1999 are performed according to different assimilation data and different assimilation windows. The result shows that 4DVAR plays an important role in improving the Meiyu front rainstorm forecast.