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山西地区一次强降水过程的目标观测研究

Study on target observation of a heavy rainfall in Shanxi Province

  • 摘要: 针对山西南部 2023年5月20~21日的一次强降水过程,使用高分辨率天气研究预报模式(WRF)进行了模拟分析,在此基础上,利用条件非线性最优扰动(CNOP)方法识别了该次强降水过程的目标观测敏感区,并对敏感区的物理意义进行了分析,最后,通过观测系统模拟试验(OSSE)考察了CNOP方法识别的敏感区的有效性并进行了原因分析。结果表明:WRF模式能够模拟出本次过程集中于山西省南部的强降水,但局地暴雨位置有所偏差,强度略低,大雨和中雨位置整体偏西,小雨范围偏大;利用CNOP方法识别的敏感区主要位于东北冷涡中心附近,反映了东北冷涡对本次强降水事件的重要影响;进一步,根据CNOP型初始误差的能量局部极大值的分布,依次选取了3个次敏感的区域做对比分析,3个对比区分别反映了青藏高原低压、山西地区切变线以及西太副高的影响,结果发现同化敏感区内的模拟观测资料可以最大程度提高此次强降水过程大雨和暴雨预报的TS评分,同化山西及其周边地区的观测资料次之,同化青藏高原低压地区和西太副高北部地区的的观测资料也能改善大雨和暴雨预报的TS评分,但程度要小一些。进一步分析发现同化敏感区内的模拟观测资料对山西南部地区风场预报有较大影响,在山西南部复杂地形的配合下,通过促进多地区风场的辐合,扩大大雨的区域,进而改善本次事件强降水的预报技巧。

     

    Abstract: A heavy rainfall process in southern Shanxi from May 20 to 21, 2023 was simulated and analyzed using the high-resolution Weather Research Forecasting model (WRF). On this basis, the target observation sensitive area of the heavy rainfall process was identified using the conditional nonlinear optimal perturbation (CNOP) method, and the physical significance of the sensitive area was analyzed. Finally, the effectiveness of the sensitive area identified by the CNOP method was investigated through the observation system simulation test (OSSE) and the reasons are analyzed. The results show that the WRF model can simulate the heavy rainfall in the south of Shanxi Province, but the local rainstorm has a deviation in location, a slightly lower intensity, and west-shift positions of moderate and heavy rains, while the range of light rain is relatively large; The sensitive area identified by CNOP method is mainly located near the center of the northeast cold vortex, reflecting the important influence of the northeast cold vortex on the rainstorm event. Further, according to the distribution of the local maximum energy of the CNOP type initial error, three sub sensitive regions are selected for comparative analysis. The three comparison regions reflect the influence of the Qinghai Tibet Plateau low pressure, the shear line in Shanxi region and the Western Pacific subtropical high, respectively. The results show that assimilating the simulated observation data in the sensitive region can maximize the TS score of heavy rain and rainstorm forecast, followed by assimilating the observation data in Shanxi and its surrounding areas. Assimilating the observation data in the low pressure area of the Qinghai Tibet Plateau and the northern area of the Western Pacific subtropical high can also improve the TS score of heavy rain and rainstorm forecast, but to a lesser extent. Further analysis revealed that the simulated observation data within the sensitive area has a significant impact on the wind forecast in southern Shanxi. With the help of the complex terrain in southern Shanxi, it would promote the convergence of wind in multiple regions, expanding the area of heavy rain, and thus improves the forecast technique for this heavy rainfall event.

     

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