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山西地区一次强降水过程的目标观测研究

Targeted Observation of a Heavy Rainfall Event in Shanxi Region

  • 摘要: 针对2023年5月20~21日山西省南部的一次强降水过程,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;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个次敏感的区域作对比分析,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平洋副热带高压(简称西太副高)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(threat score)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;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 event that occurred in southern Shanxi region from 20 May to 21 May 2023, was simulated and analyzed using the high-resolution Weather Research Forecasting (WRF) model. On this basis, the sensitive area for targeted observations of this heavy rainfall process was identified using the conditional nonlinear optimal perturbation (CNOP) method, and the physical importance of this area was analyzed. Finally, the effectiveness of the sensitive area identified by the CNOP method was investigated through the observing system simulation experiments, and the underlying reasons were analyzed. The results show that the WRF model can simulate heavy rainfall in southern Shanxi Province; however, the local rainstorm has a location deviation, a slightly lower intensity, and a westward shift in the areas of moderate and heavy rainfall, while the extent of light rain is relatively large. The sensitive area identified by the CNOP method is mainly located near the center of the northeast cold vortex, reflecting the important influence of the vortex on the rainstorm event. Furthermore, according to the distribution of local maximum energy associated with the CNOP-type initial error, three secondary sensitive regions were selected for comparative analysis. These regions correspond to the Qinghai–Xizang Plateau low-pressure system, the shear line in the Shanxi Province, and the Western Pacific subtropical high. The results show that assimilating simulated observations within the sensitive region yields the highest threat scores (TSs) for heavy rain and rainstorm forecasts, followed by assimilation over Shanxi and its surrounding areas. Assimilation over the Qinghai–Xizang Plateau low-pressure belt and the northern region of the Western Pacific subtropical high also improves the TSs, although to a lesser extent. Further analysis reveals that assimilating simulated observations within the sensitive area substantially affects the wind forecast over southern Shanxi. Combined with the complex terrain of southern Shanxi, the assimilation promotes wind convergence in multiple regions, thereby expanding the area affected by heavy rainfall and improving the forecast accuracy of this event.

     

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