基于短时强降水概率预报的模糊检验试验

Fuzzy Verification Test of Probabilistic Forecast of Short-Term Heavy Precipitation

  • 摘要: 利用短时强降水概率预报模型生成短时强降水(≥20mm/h)概率预报产品,并对其进行“点对面”模糊检验试验。结果表明:短时强降水(≥20mm/h)概率预报和SWC_WARMS模式最大小时雨量(≥20mm/h)的“点对面”TS评分均明显高于相应的“点对点”评分,短时强降水(≥20mm/h)预报结果可在30~40km范围内进行调整;短时强降水(≥20mm/h)概率预报在概率为30%时TS评分达到最大,Bias接近为1,预报偏差最小;短时强降水(≥20mm/h)概率预报比SWC_WARMS模式最大小时雨量(≥20mm/h)预报更具有参考价值。

     

    Abstract: The fuzzy verification test of probabilistic forecast product of short-term heavy precipitation ?(≥20mm/h) have been carried out,which was generated by the probabilistic forecast model of short-term heavy precipitation. The results showed that: The “point to area” threat score of short-term heavy precipitation (≥20mm/h) probability forecast and the “point to area” threat score of maximum hourly precipitation (≥20mm/h) of SWC_WARMS model were both significantly higher than the “point to point” threat score,the short-term heavy precipitation (≥20mm/h) forecast results can be adjusted within the range of 30km-40km. When the probability of short-term heavy precipitation?(≥20mm/h) forecast was 30%,the threat score reached the maximum,and the Bias was close to 1,the forecast deviation was the minimum. The short-term heavy precipitation (≥20mm/h) probability forecast was more valuable than the maximum hourly precipitation (≥20mm/h) forecast of SWC_WARMS model.

     

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