• Acta Optica Sinica
  • Vol. 43, Issue 18, 1828003 (2023)
Bei Zhang1、2, Xiuqing Hu1、2、*, Weiwei Zhou3, Ling Wang1、2, Lin Chen1、2, and Peng Zhang1、2
Author Affiliations
  • 1National Satellite Meteorological Center (National Center for Space Weather), Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China
  • 2Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China
  • 3School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan, China
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    DOI: 10.3788/AOS230842 Cite this Article Set citation alerts
    Bei Zhang, Xiuqing Hu, Weiwei Zhou, Ling Wang, Lin Chen, Peng Zhang. Radiometric Response Evaluation of FY-3D/MERSI-II Reflective Solar Bands Based on Deep Convective Cloud[J]. Acta Optica Sinica, 2023, 43(18): 1828003 Copy Citation Text show less
    Flowchart of the MERSI-II radiometric response evaluate method based on DCC
    Fig. 1. Flowchart of the MERSI-II radiometric response evaluate method based on DCC
    DCC reflectance PDF curves for different VZA angle intervals. (a) 0.65 μm; (b) 1.64 μm
    Fig. 2. DCC reflectance PDF curves for different VZA angle intervals. (a) 0.65 μm; (b) 1.64 μm
    Normalized monthly DCC reflectance corrected by BRDF models from 2018 to 2022. (a) 0.65 μm; (b) 1.64 μm
    Fig. 3. Normalized monthly DCC reflectance corrected by BRDF models from 2018 to 2022. (a) 0.65 μm; (b) 1.64 μm
    Geographical distribution of monthly DCC from 2020 to 2022. (a) Every April; (b) every July
    Fig. 4. Geographical distribution of monthly DCC from 2020 to 2022. (a) Every April; (b) every July
    Annual variation curves of DCC monthly reflectance from 2018 to 2022. (a) 1.64 μm; (b) 2.13 μm
    Fig. 5. Annual variation curves of DCC monthly reflectance from 2018 to 2022. (a) 1.64 μm; (b) 2.13 μm
    Seasonal correction factor of DCC
    Fig. 6. Seasonal correction factor of DCC
    Comparison of deseasonalization and BRDF correction results. (a) 0.65 μm; (b) 0.865 μm; (c) 1.64 μm; (d) 2.13 μm
    Fig. 7. Comparison of deseasonalization and BRDF correction results. (a) 0.65 μm; (b) 0.865 μm; (c) 1.64 μm; (d) 2.13 μm
    Normalized monthly DCC reflectance and linear fitting of FY-3D/MERSI-II in RSB from 2018 to 2022. (a) VIS bands; (b) NIR bands; (c) SWIR bands
    Fig. 8. Normalized monthly DCC reflectance and linear fitting of FY-3D/MERSI-II in RSB from 2018 to 2022. (a) VIS bands; (b) NIR bands; (c) SWIR bands
    BandCentral wavelength /μmSpectra bandwidth /μmResolution /mDynamic range
    10.4705025090%
    20.5505025090%
    30.6505025090%
    40.8655025090%
    51.38020/30100090%
    61.64050100090%
    72.13050100090%
    80.41220100030%
    90.44320100030%
    100.49020100030%
    110.55520100030%
    120.67020100030%
    130.70920100030%
    140.74620100030%
    150.86520100030%
    160.905201000100%
    170.936201000100%
    180.940501000100%
    191.030201000100%
    203.8001801000200-350 K
    214.0501551000200-380 K
    227.2005001000180-280 K
    238.5503001000180-300 K
    2410.8001000250180-330 K
    2512.0001000250180-330 K
    Table 1. FY-3D/MERSI-II spectral channel specifications
    BandCenter wavelength /μmStandard deviation of mean(mode)/%
    No BRDFHu BRDFCERES BRDF
    10.4702.32(1.93)2.22(1.94)1.93(0.76)
    20.5502.62(2.13)2.72(2.11)2.33(0.83)
    30.6502.73(2.22)2.45(2.01)1.65(0.77)
    40.8651.63(1.58)1.53(1.42)1.66(0.73)
    51.3800.83(1.08)1.13(1.28)1.16(1.33)
    61.6400.82(0.89)0.87(0.96)0.98(1.10)
    72.1300.76(0.88)1.26(1.36)1.08(1.21)
    160.9051.44(1.28)1.43(1.12)1.41(0.53)
    170.9361.53(1.28)1.58(1.17)1.66(0.73)
    180.9401.22(1.08)1.37(1.04)1.66(0.67)
    191.0301.47(1.13)1.33(1.02)1.67(0.74)
    Table 2. Standard deviation of PDF reflectance mean (mode) in different VZA angle intervals
    Spectral band /μmDecline rate of RSD /%Decline rate of 2δ/mean /%
    0.47010.329.9
    0.5509.627.3
    0.65028.944.3
    0.86516.730.5
    1.38022.452.7
    1.64022.051.2
    2.13023.954.5
    0.90517.633.5
    0.93618.335.6
    0.94018.132.4
    1.03020.442.8
    Table 3. Decline rates of DCC reflectance RSD and fluctuation in each channel after deseasonal correction
    ConditionParameter
    Spectral bandsB1-B7,B16-19
    Data time2018—2022
    Longitude /(o-180-+180
    Latitude /(o-20-+20
    SZA,VZA /(o≤40
    IR-BT threshold /K≤205
    IR-BT uniformity threshold /K≤1
    VIS uniformity threshold /%≤3
    ReflectanceMonthly PDF mode(VIS/NIR),mean(SWIR)
    Reflectance correctionCERES ice cloud BRDF(VIS/NIR),deseasonal(SWIR)
    Table 4. Summary of the research area, data, and methods
    BandCentral wavelength /μm

    Reflectance mean

    Total degradation rate /%

    Annual degradation rate /%σ/%
    10.4700.89996.91101.38201.1740
    20.5500.88531.73300.34660.9643
    30.6500.89570.14280.02860.9640
    40.8650.91782.20600.44121.0640
    51.3800.502316.15003.23104.0120
    61.6400.224815.57003.11403.5650
    72.1300.150110.67002.13403.1670
    160.9050.86172.55400.51081.7270
    170.9360.75713.60400.72082.5310
    180.9400.84244.57200.91442.9850
    191.0300.82239.76201.95201.1910
    Table 5. Results of FY-3D/MERSI-II reflected solar bands radiation response degradation from 2018 to 2022
    Bei Zhang, Xiuqing Hu, Weiwei Zhou, Ling Wang, Lin Chen, Peng Zhang. Radiometric Response Evaluation of FY-3D/MERSI-II Reflective Solar Bands Based on Deep Convective Cloud[J]. Acta Optica Sinica, 2023, 43(18): 1828003
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