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Ground Validation of GPM IMERG Rainfall Products over the Capital Circle in Northeast China on Rainstorm Monitoring

机译:暴雨监测对中国东北首都圈GPM IMERG降雨产品的地面验证

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Obtaining accurate satellite precipitation data is crucial for monitoring flood and flood disasters and analysing climate change. As a new generation of satellite precipitation product, global rainfall observation program GPM is integrated with advanced microwave detection technology and data correction algorithm, providing more choices for studying precipitation in global regions. The main purpose of this paper is to evaluate the adaptability of GPM three-stage precipitation product IMERG (Final Run mode) at different temporal resolutions in the Beijing-Tianjin-Hebei region. After screening, the precipitation data of 107 national meteorological stations in the Beijing-Tianjin-Hebei region was used as the verification data, and the detection capability of GPM satellite precipitation data in different time scales of day, month and season as well as extreme precipitation events was analysed. The following conclusions were obtained: (1) Compared with the IMERG products with half-hourly and daily temporal resolution, the IMERG satellite precipitation data with 1month temporal resolution has a strong correlation, reaching 0.90. It can reflect the precipitation event accurately in the Beijing-Tianjin-Hebei region. The poor performance of IMERG satellite is concentrated in the north-western and south-eastern edges of the Beijing-Tianjin-Hebei region.(2) The performance of IMERG precipitation data in the humid season on the monthly scale is better than that in the dry season, and GPM satellite precipitation data are generally overestimated.(3) In the process of extreme precipitation event detection using 0.5h temporal resolution data, the tendency of IMERG satellite precipitation data to accumulate precipitation is roughly consistent with that of the station, but the phenomenon of overestimation still exists, especially in places with large precipitation, overestimation is more obvious. In view of this precipitation event, satellite precipitation data covers almost the entire precipitation process, and some values are still high. Although the data has good detection capability for extreme precipitation events, the monitoring of precipitation peak is not accurate enough. According to the comprehensive analysis, its Final GPM product has a strong ability to detect rainfall events, which can provide data support for the long time series analysis in the Beijing-Tianjin-Hebei region.
机译:获得准确的卫星降水数据对于监测洪水和洪水灾害以及分析气候变化至关重要。作为新一代的卫星降水产品,全球降水观测计划GPM与先进的微波检测技术和数据校正算法相集成,为研究全球区域的降水提供了更多选择。本文的主要目的是评估GPM三阶段降水产物IMERG(最终运行模式)在京津冀地区在不同时间分辨率下的适应性。筛选后,以京津冀地区107个国家气象站的降水量数据作为验证数据,并对GPM卫星降水量数据在日,月,季不同时标以及极端降水量下的探测能力进行了验证。事件进行了分析。得到以下结论:(1)与具有半小时和每日时间分辨率的IMERG产品相比,具有1个月时间分辨率的IMERG卫星降水数据具有很强的相关性,达到0.90。它可以准确反映北京-天津-河北地区的降水事件。 IMERG卫星性能较差的地区主要集中在京津冀地区的西北和东南边缘。(2)在潮湿季节,IMERG卫星降水数据的月度性能要好于北京,天津和河北地区。 (3)在使用0.5h时间分辨率数据进行极端降水事件检测的过程中,IMERG卫星降水数据积累降水的趋势与台站大致一致,但高估现象仍然存在,特别是在降水量大的地方,高估现象更加明显。鉴于这一降水事件,卫星降水数据几乎涵盖了整个降水过程,有些值仍然很高。尽管该数据对于极端降水事件具有良好的检测能力,但对降水峰值的监测仍不够准确。根据综合分析,其最终GPM产品具有强大的降雨事件检测能力,可以为京津冀地区的长时间序列分析提供数据支持。

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