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首页> 外文期刊>Journal of Hydroinformatics >Evaluation of CMPA precipitation estimate in the evolution of typhoon-related storm rainfall in Guangdong, China
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Evaluation of CMPA precipitation estimate in the evolution of typhoon-related storm rainfall in Guangdong, China

机译：广东台风相关暴雨演变过程中CMPA降水估计的评估

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摘要

The merged precipitation data of Climate Prediction Center Morphing Technique and gauge observations (CMPA) generated for continental China has relatively high spatial and temporal resolution (hourly and 0.1 W), while few studies have applied it to investigate the typhoon-related extreme rainfall. This study evaluates the CMPA estimate in quantifying the typhoon-related extreme rainfall using a dense rain gauge network in Guangdong Province, China. The results show that the event-total precipitation from CMPA is generally in agreement with gauges by relative bias (RB) of 2.62, 10.74 and 0.63% and correlation coefficients (CCs) of 0.76, 0.86 and 0.91 for typhoon Utor, Usagi and Linfa events, respectively. At the hourly scale, CMPA underestimates the occurrence of light rain (< 1 mm/h) and heavy rain (> 16 mm/h), while overestimates the occurrence of moderate rain. CMPA shows high probability of detection (POD = 0.93), relatively large false alarm ratio (FAR 0.22) and small missing ratio (0.07). CMPA captures the spatial patterns of typhoon-related rain depth, and is in agreement with the spatiotemporal evolution of hourly gauge observations by CC from 0.93 to 0.99. In addition, cautiousness should be taken when applying it in hydrologic modeling for flooding forecasting since CMPA underestimates heavy rain (> 16 mm/h).
机译：气候预测中心变形技术和中国大陆产生的观测值观测（CMPA）的合并降水数据具有相对较高的时空分辨率（每小时和0.1 W），而很少有研究将其用于调查与台风有关的极端降雨。这项研究使用中国广东省的密集雨量计网络评估了CMPA估算，以量化与台风有关的极端降雨。结果表明，台风Utor，Usagi和Linfa台风的CMPA事件总降水量通常与标准偏差一致，相对偏差（RB）为2.62、10.74和0.63％，相关系数（CCs）为0.76、0.86和0.91 ， 分别。在小时尺度上，CMPA低估了小雨（<1 mm / h）和大雨（> 16 mm / h）的发生，而高估了中雨的发生。 CMPA显示出较高的检测可能性（POD = 0.93），相对较大的虚警率（FAR 0.22）和较小的遗漏率（0.07）。 CMPA捕获了与台风有关的雨深的空间格局，并且与CC每小时从0.93到0.99观测到的时空观测值的时空演化一致。此外，由于CMPA低估了大雨（> 16 mm / h），因此在将水文模型用于洪水预报时应谨慎行事。

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  • 来源
    《Journal of Hydroinformatics》 |2016年第6期|1055-1068|共14页
  • 作者

    Wang Dashan; Wang Xianwei; Liu Lin; Wang Dagang; Huang Huabing; Pan Cuilin;

  • 作者单位

    Sun Yat Sen Univ, Ctr Integrated Geog Informat Anal, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Ctr Integrated Geog Informat Anal, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Ctr Integrated Geog Informat Anal, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China|Univ Cincinnati, Dept Geog, Cincinnati, OH USA;

    Sun Yat Sen Univ, Ctr Integrated Geog Informat Anal, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Ctr Integrated Geog Informat Anal, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Ctr Integrated Geog Informat Anal, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CMPA; evaluation; extreme rainfall; typhoon;

    机译：CMPA;评估;极端降雨;台风;

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