Research on cloud parameter retrieval based on
Gaofen-5 DPC data

doi:10.3969/j.issn.1673-6141.2025.06.009

Abstract

Abstract: Clouds are formed from water droplets and ice crystals generated when water vapor in the atmosphere condenses or sublimates upon cooling. They cover approximately 67.5% of the Earth's surface area and play a significant role in global atmospheric circulation and energy balance. Accurate cloud identification and the study of cloud parameters can contribute greatly to our understanding of the Earth's radiation budget, hydrological cycle, and climate change. The directional polarimetric camera (DPC) carried by the Gaofen-5 satellite has multiple detection capabilities, including multi-spectral, multi-angle, and polarimetric capabilities, providing a powerful tool for cloud research. This study utilizes the characteristics of DPC in small particles, bright surfaces, and multi-angle polarimetry dedection to develop six cloud products, namely cloud detection, cloud confidence classification, cloud phase retrieval, cloud optical thickness retrieval, cloud three-dimensional structure reconstruction, and pollution cloud identification. Comparison with other relevant satellite remote sensing products demonstrates that the cloud products derived from DPC have a high level of accuracy, among which the cloud three-dimensional structure reconstruction and pollution cloud identification stand out as innovative cloud products, showcasing the unique advantages of the polarimetric sensor of DPC and effectively expanding the application range of domestic satellite data.

Key words: Gaofen-5, directional polarimetric camera, cloud, cloud parameters

CLC Number:

P407

LIU Shijie , MA Jinji , TAO Shengrong , SUN Xize . Research on cloud parameter retrieval based on Gaofen-5 DPC data[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(6): 789-808.

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Research on cloud parameter retrieval based on Gaofen-5 DPC data

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