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Evaluation of GPM IMERG precipitation products with the point rain gauge records over Sichuan, China

机译:评价江苏省四川四川雨量仪记录GPM IMERG降水产品

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摘要

The objective of this study is to comprehensively evaluate the Integrated Multi-satellite Retrievals for Global Precipitation Measurement Mission (IMERG), especially on heavy and extreme rainfall events, by using 144 rain gauge observations at daily/hourly scale from April 1, 2014 to December 31, 2017 over the Sichuan Province, China. Terrain in the study area is very complex which is composed of mountains, hills, plain basins and plateaus. The evaluation was conducted based on general assessments, graphical comparisons, precipitation detection capability, probability density function, extreme indicators and one specific extreme precipitation event.The results show that For the general analysis, IMERG_F tends to overestimate rainfall events especially light rainfall events, which is contrary to IMERG_E and IMERG_L. The precipitation detection ability of IMERG is influenced by the rainfall type and topography. For the extreme indicator analysis, IMERG has a better estimation of the rainfall intensity than the precipitation detection ability. For one specific extreme rainfall event, all the three IMERG products could capture the rainfall center and basic spatial changes. But the amount of rainfall has a bigger uncertainty especially at the beginning and the end of a rainfall. The Final Run product has a better performance, but the difference is insignificant. In addition, when the interval time of two heavy rainfall events is small, IMERG may regard them as one event. These findings provide valuable feedbacks to satellite heavy rainfall studies in complex terrain region regarding the development of the IMERG algorithm and data use.
机译:本研究的目的是全面评估全球降水测量任务(IMERG)的集成多卫星检索,特别是在2014年4月1日至12月的日常/小时规模上使用144次雨量测量事件。 2017年3月31日,在四川省,中国。在研究区的地形非常复杂,由山脉,丘陵,普通盆地和平原组成。基于一般性评估,图形比较,降水检测能力,概率密度,极端指标和一个特定的极端降水事件进行评估。结果表明,对于一般分析,IMERC_F往往高估降雨事件,特别是降雨事件与imerc_e和imerc_l相反。 Imerc的降水检测能力受降雨型和地形的影响。对于极端指示剂分析,Imerg可以更好地估计降雨强度而不是降水检测能力。对于一个特定的极端降雨事件,所有三种IMERD产品都可以捕获降雨中心和基本的空间变化。但是降雨量具有更大的不确定性,特别是在降雨的开始和结束时。最终运行产品具有更好的性能,但差异是微不足道的。此外,当两个大雨事件的间隔时间很小时,Imerc可以将它们视为一个事件。这些调查结果为复杂地形区域的卫星大雨研究提供了有价值的反馈,这些反馈是关于制造IMERC算法和数据使用的复杂地形区域。

著录项

  • 来源
    《Atmospheric research》 |2020年第12期|105101.1-105101.12|共12页
  • 作者单位

    Sichuan Univ State Key Lab Hydraul & Mt River Engn Coll Water Resource & Hydropower Chengdu 610065 Peoples R China;

    Sichuan Univ State Key Lab Hydraul & Mt River Engn Coll Water Resource & Hydropower Chengdu 610065 Peoples R China;

    Sichuan Prov Meteorol Serv Chengdu 610072 Peoples R China;

    Sichuan Univ State Key Lab Hydraul & Mt River Engn Coll Water Resource & Hydropower Chengdu 610065 Peoples R China;

    Sichuan Univ State Key Lab Hydraul & Mt River Engn Coll Water Resource & Hydropower Chengdu 610065 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Global Precipitation Measurement; IMERG; Extreme precipitation; Complex terrain;

    机译:全球降水测量;imerc;极端降水;复杂的地形;

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