Journal of Infrared and Millimeter Waves, Volume. 42, Issue 3, 399(2023)

Quality evaluation of FY-4A/GIIRS atmospheric temperature profile

Ming-Bin DU1, Lin-Li CUI1, Feng LU2、*, Jie PENG1, Jun SHI1, Dong-Wei LIU1, and Hao FAN1
Author Affiliations
  • 1Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai 200030, China
  • 2Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, FengYun Meteorological Satellite Innovation Center (FY-MSIC), National Satellite Meteorological Center of CMA, Beijing 100081, China
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    Figures & Tables(13)
    Spatial distribution of radiosondes after matching (the red sites are participating in the evaluation,and blue sites are not used;the right side is the relative time of FY-4A/GIIRS scanning sequence)
    The schematic diagram of FY-4A/GIIRS pixel matching with radiosonde data (The red point is radiosonde site of Beijing 54511,the black dots are FY-4A/GIIRS pixels,and the shaded is the coverage area around the radiosonde site with a radius of 92 km)
    Effectiveness of FY-4A/GIIRS atmospheric temperature profile(a)UTC 00:00(b)UTC 12:00
    Accuracy evaluation of FY-4A GIIRS temperature profile retrieval (a)Bias and RMS(b)relative error and annually average temperature profile; in the legends, clear, cloud and all represent clear sky, cloudy and all cases statistical results respectively, and the suffix c represents the first Cressman matching method, and n represents the second nearest pixel matching method)
    Temperature scatterplot of FY-4A/GIIRS inversion and radiosonde data at Beijing site 54511(clear and cloud represent clear sky and cloudy respectively,and R is the correlation coefficient of the clear sky)
    Accuracy evaluation of clear sky temperature profile for FY-4A GIIRS inversion (a)Bias and RMS(b)relative error and sample number; 00 and 12 in the legends mean UTC observation time which represent day time and night respectively)
    Monthly quality analysis of FY-4A GIIRS temperature profile (a)Bias(b) RMS(c) MRE(d) Correlation coefficient
    Monthly statistics of cloud coverage of matching samples (a) UTC 00:00(b) UTC 12:00
    Spatial distribution of RMS for FY-4A GIIRS temperature profiles with reference to radiosonde (a) Average RMS of the entire layer(b) RMS of the lowest layer
    RMS and standard deviation with reference to radiosonde at different altitudes (a) RMS(b)standard deviation; L, M, H and all in the legend represent the statistical results of low altitude, medium altitude, high altitude and all cases respectively
    Bias probability density of temperature profiles of FY-4A/GIIRS (the abscissa represents the proportion of RMS in corresponding height level)
    • Table 1. Number of stations with different altitudes

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      Table 1. Number of stations with different altitudes

      分类海拔范围站点数目
      合计150
      低海拔<=100 m53
      中海拔>100 m,<=1 500 m71
      高海拔>1 500 m26
    • Table 2. The probability peak fall region of FY-4A/GIIRS temperature profile bias

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      Table 2. The probability peak fall region of FY-4A/GIIRS temperature profile bias

      高度(hPa)峰值概率(%)

      峰值落区

      (RMS比例)

      峰值偏差估计(K)样本数目
      100010.840.250.85886
      92512.60-0.75-2.0316 027
      85011.45-0.5-1.2123 807
      70011.28-0.25-0.4927 862
      60011.770.250.6729 912
      50011.5000.0030 587
      40013.17-0.25-0.4130 538
      30012.9900.0030 389
      25013.5800.0030 217
      20011.16-0.5-1.1229 956
      15012.34-0.25-0.4429 672
      10013.0200.0029 234
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    Ming-Bin DU, Lin-Li CUI, Feng LU, Jie PENG, Jun SHI, Dong-Wei LIU, Hao FAN. Quality evaluation of FY-4A/GIIRS atmospheric temperature profile[J]. Journal of Infrared and Millimeter Waves, 2023, 42(3): 399

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    Paper Information

    Category: Research Articles

    Received: Nov. 15, 2022

    Accepted: --

    Published Online: Jul. 5, 2023

    The Author Email: Feng LU (lufeng@cma.gov.cn)

    DOI:10.11972/j.issn.1001-9014.2023.03.016

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