Remote Sensing Technology and Application, Volume. 39, Issue 5, 1223(2024)

Error Evaluation of FY4A and GPM Satellite Precipitation Estimates over Chinese Mainland

Ji LI, Bin YONG, and Hao WU
Author Affiliations
  • State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing210098, China
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    Figures & Tables(13)
    Geographic map showing the topography over Chinese mainland
    Spatial distributions of the climate regions as well as the meteorological stations over Chinese mainland
    Spatial distributions of continuous metrics (i.e., CC(a~d), BIAS(e~h), RMSE(i~l) of four satellite precipitation products over Chinese mainland
    Spatial distributions of categorical statistical metrics (i.e., POD(a~d), FAR(e~h), CSI(i~l) of four satellite precipitation products over Chinese mainland
    Boxplots of three metrics (i.e., CC, BIAS and RMSE) for four SPPs over Chinese mainland at season scales
    Boxplots of three metrics i.e., POD, FAR and CSI for four SPPs over Chinese mainland at season scales
    The variations of PDF values for SPPs with precipitation intensity over Chinese mainland
    The variations of BIAS values for SPPs with precipitation intensity over Chinese mainland
    The variations of categorical categoricalstatistical metrics for SPPs by elevation for seasons over Chinese mainland
    Spatial maps of error components of SPPs for four seasons over Chinese mainland
    • Table 1. The parameters of two satellite precipitation datasets

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      Table 1. The parameters of two satellite precipitation datasets

      卫星降水产品数据源时空分辨率延迟时间是否经过雨量计校正
      REGCIR4 km / 5 min1 h
      DISKIR4 km / 1 h1 h
      GSMaP-NRTPMW, IR0.1°/ 1 h4 h
      IMERG-EarlyPMW, IR0.1°/ 30 min4 h
    • Table 2. The list of the evaluation metrics

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      Table 2. The list of the evaluation metrics

      评价指标计算方法最优值
      CCCC=i-1n(Gi-G¯)(Si-S¯)i-1n(Gi-G¯)2×i-1n(Si-S¯)21
      RMSERMSE=1ni-1n(Si-Gi)20
      BIASBIAS=i-1n(Si-Gi)i-1nGi×100%0
      PODPOD=HH+M1
      FARFAR=FHH+F0
      CSICSI=HH+F+M1
      Hit biasHit-bias=i-1n(SH-GH)i-1nGi0
      Miss biasMiss-bias=i-1n(SM-GM)i-1nGi×100%0
      False biasFalse-bias=i-1n(SF-GF)i-1nGi×100%0
    • Table 3. Statistical indicators of four satellite precipitation products over Chinese mainland

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      Table 3. Statistical indicators of four satellite precipitation products over Chinese mainland

      卫星降水产品CC

      BIAS

      /%

      RMSE

      /mm

      PODFARCSI
      REGC0.29-16.321.120.270.620.19
      DISK0.27-27.701.490.300.610.20
      GSMaP-NRT0.301.311.240.420.490.30
      IMERG-Early0.4416.300.970.530.560.31
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    Ji LI, Bin YONG, Hao WU. Error Evaluation of FY4A and GPM Satellite Precipitation Estimates over Chinese Mainland[J]. Remote Sensing Technology and Application, 2024, 39(5): 1223

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    Paper Information

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    Received: Feb. 17, 2023

    Accepted: --

    Published Online: Jan. 7, 2025

    The Author Email:

    DOI:10.11873/j.issn.1004-0323.2024.5.1223

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