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Systematical estimation of GPM-based global satellite mapping of precipitation products over China

机译:基于GPM的中国降水产品全球卫星测绘的系统估计

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摘要

AbstractAs the Global Precipitation Measurement (GPM) Core Observatory satellite continues its mission, new version 6 products for Global Satellite Mapping of Precipitation (GSMaP) have been released. However, few studies have systematically evaluated the GSMaP products over mainland China. This study quantitatively evaluated three GPM-based GSMaP version 6 precipitation products for China and eight subregions referring to the Chinese daily Precipitation Analysis Product (CPAP). The GSMaP products included near-real-time (GSMaP_NRT), microwave-infrared reanalyzed (GSMaP_MVK), and gauge-adjusted (GSMaP_Gau) data. Additionally, the gauge-adjusted Integrated Multi-Satellite Retrievals for Global Precipitation Measurement Mission (IMERG_Gau) was also assessed and compared with GSMaP_Gau. The analyses of the selected daily products were carried out at spatiotemporal resolutions of 1/4° for the period of March 2014 to December 2015 in consideration of the resolution of CPAP and the consistency of the coverage periods of the satellite products. The results indicated that GSMaP_MVK and GSMaP_NRT performed comparably and underdetected light rainfall events (<5mm/day) in the northwest and northeast of China. All the statistical metrics of GSMaP_MVK were slightly improved compared with GSMaP_NRT in spring, autumn, and winter, whereas GSMaP_NRT demonstrated superior Pearson linear correlation coefficient (CC), fractional standard error (FSE), and root-mean-square error (RMSE) metrics during the summer. Compared with GSMaP_NRT and GSMaP_MVK, GSMaP_Gau possessed significantly improved metrics over mainland China and the eight subregions and performed better in terms of CC, RMSE, and FSE but underestimated precipitation to a greater degree than IMERG_Gau. As a quantitative assessment of the GPM-era GSMaP products, these validation results will supply helpful references for both end users and algorithm developers. However, the study findings need to be confirmed over a longer future study period when the longer-period IMERG retrospectively-processed data are available.Graphical abstractDisplay OmittedHighlightsThree GPM-based GSMap and one IMERG precipitation products are evaluated in China.Evaluation uses Chinese daily Precipitation Analysis Product.Only infrared bias correction for near-real-time GSMap in summer is not obvious.Improvement of gauge-adjustment in GSMap is confirmed.Gauge-adjusted GSMap underestimates precipitation more than Gauge-adjusted IMERG.
机译: 摘要 随着全球降水量测量(GPM)核心天文台卫星继续履行其使命,全球降水图(GSMaP)的新版本6产品将投入使用。已被释放。但是,很少有研究对中国大陆的GSMaP产品进行系统的评估。这项研究参照中国的每日降水分析产品(CPAP)定量评估了中国和八个次区域的三种基于GPM的GSMaP版本6降水产品。 GSMaP产品包括近实时(GSMaP_NRT),微波红外再分析(GSMaP_MVK)和轨距校正(GSMaP_Gau)数据。此外,还评估了针对全球降水测量任务(IMERG_Gau)进行了标尺调整的集成多卫星检索,并将其与GSMaP_Gau进行了比较。考虑到CPAP的分辨率和卫星产品覆盖时间的一致性,对选定的日常产品的分析以2014年3月至2015年12月的1/4°时空分辨率进行。结果表明,GSMaP_MVK和GSMaP_NRT在中国西北和东北地区表现相当,并且未检测到轻降雨事件(<5mm /天)。在春季,秋季和冬季,与GSMaP_NRT相比,所有GSMaP_MVK的统计指标均略有改善,而GSMaP_NRT表现出出众的皮尔逊线性相关系数(CC),分数标准误(FSE)和均方根误差(RMSE)指标在夏天。与GSMaP_NRT和GSMaP_MVK相比,GSMaP_Gau在中国大陆和八个子区域的指标有了显着提高,在CC,RMSE和FSE方面表现更好,但降水量被大大低估了IMERG_Gau。作为对GPM时代GSMaP产品的定量评估,这些验证结果将为最终用户和算法开发人员提供有用的参考。但是,当可获得较长时期的IMERG追溯处理的数据时,需要在更长的未来研究期内确认研究结果。 图形摘要 省略显示 突出显示 三个基于GPM的GSMap和一个IMERG prec ipitation产品在中国进行评估。 评估使用的是中国的每日降水分析产品。 在夏天,仅用于近实时GSMap的红外偏置校正并不明显。 已确认在GSMap中改进了量规。 经量规调整后的GSMap都比经量规调整后的IMERG低估了降水量。

著录项

  • 来源
    《Atmospheric research》 |2018年第3期|206-217|共12页
  • 作者单位

    Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences;

    Institute of Surveying and Mapping;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences;

    Institute of Surveying and Mapping;

    Yellow River Institute of Hydraulic Research;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences;

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

    GPM; GSMaP; IMERG; Estimation; Precipitation; China;

    机译:GPM;GSMaP;IMERG;估计;降水;中国;

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