达州开江一次极端暴雨成因及可预报性分析

Analysis on Causes and Predictability of an Extreme Rainstorm in Kaijiang

  • 摘要: 利用常规天气资料,新一代多普勒雷达资料,对2021年6月17~18日达州开江的一次极端暴雨过程成因进行了分析。结果表明:此次过程是副高东退南压、低槽东移、配合低层切变和低空急流东移南压,以及地面冷空气的共同影响;低质心的暖云降水回波形成的列车效应是造成极端降水的直接原因;当预报将有强降雨天气发生时,需了解上游降雨实况与影响系统的关系,也需了解模式的性能,结合自身经验对下游强降雨落区和量级进行适当订正;模式本身具有误差,极端降水较难预报,但可以根据最新实况资料对强降雨落区进行有效订正,并及时做好短时临近预报服务,弥补短期预报的不足。

     

    Abstract: Based on conventional weather data and the new generation Doppler Radar data, the causes of an extreme rainstorm in Kaijiang, Dazhou from June 17th to 18th, 2021 are analyzed. The results showed this rainstorm was under the joint influence of subtropical high-pressure belt's eastward retreat and southward shift, low trough's eastward shift, low level shear, low level jet stream's eastward and southward shifts, as well as ground cold air; train effect formed by warm cloud precipitation echo of low mass center was the direct cause of extreme precipitation; when heavy rainfall weather was predicted, it's necessary to understand the relationship between the actual rainfall situation in the upstream and the influcence system, as well as the performance of the model, so as to appropriately rectified the rainfall area and magnitude of heavy rainfall in the downstream by combining with own experience; the model itself had errors, and extreme precipitation was difficult to predict, but it's possible to effectively rectify the heavy rainfall area according to the latest actual data, and provice short-time impending prediction service in time to make up for the deficiency of short-term prediction.

     

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