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Analysis of a Heavy Rainfall Event over Beijing During 21-22 July 2012 Based on High Resolution Model Analyses and Forecasts

机译:基于高分辨率模型分析和预报的2012年7月21-22日北京大暴雨事件分析

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摘要

The heaviest rainfall over 61 yr hit Beijing during 21-22 July 2012. Characterized by great rainfall amount and intensity, wide range, and high impact, this record-breaking heavy rainfall caused dozens of deaths and extensive damage. Despite favorable synoptic conditions, operational forecasts underestimated the precipitation amount and were late at predicting the rainfall start time. To gain a better understanding of the performance of mesoscale models, verification of high-resolution forecasts and analyses from the WRF-based BJ-RUCv2.0 model with a horizontal grid spacing of 3 km is carried out. The results show that water vapor is very rich and a quasi-linear precipitation system produces a rather concentrated rain area. Moreover, model forecasts are first verified statistically using equitable threat score and BIAS score. The BJ-RUCv2.0 forecasts under-predict the rainfall with southwestward displacement error and time delay of the extreme precipitation. Further quantitative analysis based on the contiguous rain area method indicates that major errors for total precipitation (> 5 mm h-1) are due to inaccurate precipitation location and pattern, while forecast errors for heavy rainfall (> 20 mm h-1) mainly come from precipitation intensity. Finally, the possible causes for the poor model performance are discussed through diagnosing large-scale circulation and physical parameters (water vapor flux and instability conditions) of the BJ-RUCv2.0 model output.
机译:2012年7月21日至22日,北京发生了61年以上的最大降雨。这一破纪录的强降雨以大雨量和高强度,大范围,高影响为特征,造成数十人死亡和大面积破坏。尽管天气条件有利,但运行预报低估了降水量,而预报降雨开始时间却迟了。为了更好地了解中尺度模型的性能,对水平网格间距为3 km的基于WRF的BJ-RUCv2.0模型进行了高分辨率预测和分析的验证。结果表明,水汽非常丰富,准线性降水系统产生了相当集中的雨区。此外,首先使用公平威胁评分和BIAS评分对模型预测进行统计验证。 BJ-RUCv2.0预报低估了降雨,并带有西南位移误差和极端降水的时间延迟。基于连续雨区法的进一步定量分析表明,总降水量(> 5 mm h-1)的主要误差是由于不正确的降水位置和模式引起的,而大雨量(> 20 mm h-1)的预测误差主要是由于从降水强度。最后,通过诊断BJ-RUCv2.0模型输出的大规模循环和物理参数(水蒸气通量和不稳定性条件),讨论了导致模型性能不佳的可能原因。

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  • 来源
    《气象学报(英文版)》 |2014年第2期|199-212|共14页
  • 作者单位

    School of Atmospheric Sciences and Key Laboratory of Mesoscale Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093, China;

    School of Atmospheric Sciences and Key Laboratory of Mesoscale Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093, China;

    School of Atmospheric Sciences and Key Laboratory of Mesoscale Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093, China;

    School of Atmospheric Sciences and Key Laboratory of Mesoscale Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093, China;

    Beijing Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China;

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  • 入库时间 2024-03-26 00:20:37
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