• Infrared and Laser Engineering
  • Vol. 53, Issue 7, 20240107 (2024)
Shuhan YAO and Li GUAN
Author Affiliations
  • China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Nanjing University of Information Science and Technology, Nanjing 210044, China
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    DOI: 10.3788/IRLA20240107 Cite this Article
    Shuhan YAO, Li GUAN. Accuracy assessment of atmospheric temperature and humidity profiles retrievals under cloudy conditions in summer and winter from FY-4 A/GIIRS observations[J]. Infrared and Laser Engineering, 2024, 53(7): 20240107 Copy Citation Text show less
    Spatial distribution of radiosondes after matching
    Fig. 1. Spatial distribution of radiosondes after matching
    Spatial matching of GIIRS FOV and AGRI pixel
    Fig. 2. Spatial matching of GIIRS FOV and AGRI pixel
    (a) The GIIRS observed 900 cm−1 brightness temperature; (b) Matched cloud coverage CFR; (c) Matched cloud optical thickness COT from 00 to 01 (UTC) on 10 July 2021
    Fig. 3. (a) The GIIRS observed 900 cm−1 brightness temperature; (b) Matched cloud coverage CFR; (c) Matched cloud optical thickness COT from 00 to 01 (UTC) on 10 July 2021
    U-Net model structure
    Fig. 4. U-Net model structure
    Radiosonde data and GIIRS retrieval in Beijing at 20:00(UTC) on 22 June 2021. (a) Temperature; (b) Water vapor maxing ratio profiles (Dashed lines are Radiosonde data, solid lines are GIIRS retrieval)
    Fig. 5. Radiosonde data and GIIRS retrieval in Beijing at 20:00(UTC) on 22 June 2021. (a) Temperature; (b) Water vapor maxing ratio profiles (Dashed lines are Radiosonde data, solid lines are GIIRS retrieval)
    Temperature retrieval error profiles of 2021. (a) Winter RMSE; (b) Winter ME; (c) Summer RMSE; (d) Summer ME (Red lines are clear-sky field of view, black lines are all-sky, blue lines are GIIRS Level 2 product; February to March in winter, June to July in summer)
    Fig. 6. Temperature retrieval error profiles of 2021. (a) Winter RMSE; (b) Winter ME; (c) Summer RMSE; (d) Summer ME (Red lines are clear-sky field of view, black lines are all-sky, blue lines are GIIRS Level 2 product; February to March in winter, June to July in summer)
    Temperature retrieval error profiles at different altitudes. (a) RMSE; (b) ME (Red lines are statistics for low altitude, black lines are for medium altitude, blue lines are for high altitude, and the samples are winter samples)
    Fig. 7. Temperature retrieval error profiles at different altitudes. (a) RMSE; (b) ME (Red lines are statistics for low altitude, black lines are for medium altitude, blue lines are for high altitude, and the samples are winter samples)
    The same as Fig.6 except for water vapor maxing ratio retrieval error profiles
    Fig. 8. The same as Fig.6 except for water vapor maxing ratio retrieval error profiles
    Temperature retrieval error profiles for different cloud coverage. (a) Winter RMSE; (b) Winter ME; (c) Summer RMSE; (d) Summer ME (Red lines are clear-sky, green lines are less cloudy, blue lines are heavily cloudy, black lines are fully cloudy)
    Fig. 9. Temperature retrieval error profiles for different cloud coverage. (a) Winter RMSE; (b) Winter ME; (c) Summer RMSE; (d) Summer ME (Red lines are clear-sky, green lines are less cloudy, blue lines are heavily cloudy, black lines are fully cloudy)
    The same as Fig.9 except for water vapor maxing ratio retrieval error profiles
    Fig. 10. The same as Fig.9 except for water vapor maxing ratio retrieval error profiles
    Temperature retrieval error profiles for different cloud optical thickness. (a) Winter RMSE; (b) Winter ME; (c) Summer RMSE; (d) Summer ME (Red lines are thin clouds, blue lines are medium thickness clouds, black lines are thick clouds)
    Fig. 11. Temperature retrieval error profiles for different cloud optical thickness. (a) Winter RMSE; (b) Winter ME; (c) Summer RMSE; (d) Summer ME (Red lines are thin clouds, blue lines are medium thickness clouds, black lines are thick clouds)
    The same as Fig.11 except for water vapor maxing ratio retrieval error profile
    Fig. 12. The same as Fig.11 except for water vapor maxing ratio retrieval error profile
    ClassificationAltitude/mNumber of stations
    Low altitudeAltitude≤10031
    Middle altitude100<Altitude≤150069
    High altitudeAltitude>150024
    Table 1. Classification of different altitudes
    Shuhan YAO, Li GUAN. Accuracy assessment of atmospheric temperature and humidity profiles retrievals under cloudy conditions in summer and winter from FY-4 A/GIIRS observations[J]. Infrared and Laser Engineering, 2024, 53(7): 20240107
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