大气与环境光学学报2025，Vol.20Issue(6)：789-808,20.DOI:10.3969/j.issn.1673-6141.2025.06.009
高分五号DPC数据的云参量反演研究
Research on cloud parameter retrieval based on Gaofen-5 DPC data
摘要
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.关键词
高分五号/多角度偏振成像仪/云/云参量Key words
Gaofen-5/directional polarimetric camera/cloud/cloud parameters分类
天文与地球科学引用本文复制引用
刘世杰,麻金继,陶圣荣,孙曦泽..高分五号DPC数据的云参量反演研究[J].大气与环境光学学报,2025,20(6):789-808,20.基金项目
国家重点研发计划(2022YFB3901802),国家自然科学基金面上项目(42571448),国家自然科学基金面上项目(42271372) （2022YFB3901802）
