Optimal cloud-clearing radiances for GIIRS onboard FengYun-4A satellite

Xinya Gong; Jun Li; Zhenglong Li; Ruoying Yin; Wei Han

doi:10.1117/12.3031422

20 November 2024 Optimal cloud-clearing radiances for GIIRS onboard FengYun-4A satellite

Xinya Gong, Jun Li, Zhenglong Li, Ruoying Yin, Wei Han

Author Affiliations +

Proceedings Volume 13193, Remote Sensing of Clouds and the Atmosphere XXIX; 131930N (2024) https://doi.org/10.1117/12.3031422
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Conference Poster

Abstract

Geostationary Interferometric Infrared Sounder (GIIRS) onboard China's geostationary meteorological satellite of the Fengyun-4A satellite provides high-spectral-resolution infrared observations with high temporal resolution. Due to high uncertainties in radiative transfer modeling of cloudy radiances, it is challenging to take full advantages of thermodynamic information from GIIRS in all sky. Advanced Geostationary Radiation Imager (AGRI) onboard the same platform provides a variety of cloud products with high spatial resolution. A bias corrected optimal cloud-cleared (BCOCC) method is introduced to generate the GIIRS cloud-cleared radiances (CCRs) with the help of the collocated clear radiances of AGRI. A bias correction (BC) scheme is applied by adjusting radiance differences between AGRI and GIIRS based on field-of-view and scene temperature. This correction ensures radiometric consistency across multiple bands and minimizes errors in CCR generation. Comparing to the optimal cloud-cleared method without BC, BCOCC increases the data yields of successful GIIRS CCRs by three times and improves the accuracy of retrieved CCRs. Evaluations show the mean biases of CCRs are 0.09K, -0.06K, and 0.06K, when compared to AGRI IR bands B12, B13 and B14, respectively. The GIIRS CCRs can be assimilated as clear radiances in numerical weather prediction (NWP) models, leading to enhanced forecast accuracy, particularly in regions of cloud edges and broken clouds, such as during typhoon or hurricane formation. Future work will involve integrating these CCRs into operational NWP systems and quantifying the improvement in forecast skill, particularly for severe weather events.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinya Gong, Jun Li, Zhenglong Li, Ruoying Yin, and Wei Han "Optimal cloud-clearing radiances for GIIRS onboard FengYun-4A satellite", Proc. SPIE 13193, Remote Sensing of Clouds and the Atmosphere XXIX, 131930N (20 November 2024); https://doi.org/10.1117/12.3031422

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