| 梅雨锋暴雨研究中的四维变分同化试验 |
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| 引用本文： | 程小平,王云峰,侯志明,费建芳,韩月琪.梅雨锋暴雨研究中的四维变分同化试验[J].大气科学,2005,29(3):491-495. |
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| 作者姓名： | 程小平 王云峰 侯志明 费建芳 韩月琪 |
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| 作者单位： | 解放军理工大学气象学院,南京,211101 |
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| 摘 要： | 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.
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| 关 键 词： | 梅雨锋伴随模式四维变分资料同化 |
| 文章编号： | 1006-9895(2005)03-0491-05 |
Four-Dimensional Variational Assimilation Experiments of Meiyu Front Rainstorm |
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| CHENG Xiao-Ping,WANG Yun-Feng,HOU Zhi-Ming,FEI Jian-Fang and HAN Yue-Qi.Four-Dimensional Variational Assimilation Experiments of Meiyu Front Rainstorm[J].Chinese Journal of Atmospheric Sciences,2005,29(3):491-495. |
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| Authors: | CHENG Xiao-Ping WANG Yun-Feng HOU Zhi-Ming FEI Jian-Fang and HAN Yue-Qi |
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| Abstract: | 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. |
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| Keywords: | Meiyu front adjoint model four\|dimensional variational data assimilation |
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