• Journal of Infrared and Millimeter Waves
  • Vol. 39, Issue 6, 760 (2020)
Qiang GUO1、2, Rui WEN1, and Xin WANG2、*
Author Affiliations
  • 1Chinese Academy of Meteorological Sciences, Beijing100081, China
  • 2National Satellite Meteorological Center, Beijing100081, China
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    DOI: 10.11972/j.issn.1001-9014.2020.06.014 Cite this Article
    Qiang GUO, Rui WEN, Xin WANG. Cloud detection technique research for Geosynchronous Interferometric Infrared Sounder(GIIRS) on FY-4A platform[J]. Journal of Infrared and Millimeter Waves, 2020, 39(6): 760 Copy Citation Text show less
    The location of selected GIIRS FOV
    Fig. 1. The location of selected GIIRS FOV
    Flow chart of cloud detection
    Fig. 2. Flow chart of cloud detection
    (a)Weighting function peak and channel height, and (b)peak weighting function of three channels
    Fig. 3. (a)Weighting function peak and channel height, and (b)peak weighting function of three channels
    Statistical result of NEDR from GIIRS real-time data
    Fig. 4. Statistical result of NEDR from GIIRS real-time data
    Bias of different FOV based on ranked channel height
    Fig. 5. Bias of different FOV based on ranked channel height
    Cloud detection result at 0600 UTC 10 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Fig. 6. Cloud detection result at 0600 UTC 10 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Cloud detection result at 1200 UTC 10 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Fig. 7. Cloud detection result at 1200 UTC 10 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Cloud detection result at 0600 UTC 11 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Fig. 8. Cloud detection result at 0600 UTC 11 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Cloud detection result at 1200 UTC 11 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Fig. 9. Cloud detection result at 1200 UTC 11 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Cloud detection result at 0600 UTC 12 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Fig. 10. Cloud detection result at 0600 UTC 12 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Cloud detection result at 1200 UTC 12 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    Fig. 11. Cloud detection result at 1200 UTC 12 May 2019,(a) result after matching the AGRI CLM data,(b) cloud detection result, and (c) AGRI CLM data
    ν/cm-1P/hPaNEDR/(mW/m2·sr·cm-1
    701.250235.330.165 1
    702.500273.020.163 5
    703.125286.360.161 6
    703.750413.240.161 1
    715.625575.630.177 5
    740.000729.990.237 0
    748.125852.890.164 0
    746.875986.170.163 6
    750.0001 042.330.168 7
    Table 1. GIIRS长波CO2波段选出的通道
    5月10日5月11日5月12日总体百分比
    06时(白天)13.94%20.26%17.42%13.76%
    12时(夜间)9.20%9.70%11.05%
    Table 2. 受云污染视场的可用通道百分占比
    Qiang GUO, Rui WEN, Xin WANG. Cloud detection technique research for Geosynchronous Interferometric Infrared Sounder(GIIRS) on FY-4A platform[J]. Journal of Infrared and Millimeter Waves, 2020, 39(6): 760
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