Du Mingbin, Luo Shuang, Shi Jun, Guo Wei, Zhang Jiating, Gu Hao, Gu Wen
Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai Meteorological Service, Shanghai, 200030, China.
Shanghai Baoshan District Meteorological Bureau, Shanghai, 200030, China.
Sci Rep. 2024 Aug 2;14(1):17880. doi: 10.1038/s41598-024-68593-3.
Cloud products from geostationary satellites are the main alternative to surface synoptic cloud observations (SYNOP), and have become the baseline products for the development and construction of the Quality Management System (QMS) of integrated meteorological observation in China. This study addresses the needs of the China Meteorological Administration (CMA) for such an operational reform, and it is carried out using real-time observations obtained from the Fengyun-2E (FY-2E) geostationary satellite in 2012 to derive cloud total amount and classification using two different methods. Compared to surface SYNOP observations, the cloud total amount estimated by FY-2E is generally significantly lower (about 30% lower on average). The cloud classification resulting from the two methods used in this study is also significantly different from the classification obtained from surface observations (difference between 22 and 32%). The difference is smaller for the classification method, which uses additional auxiliary temperature profiles.
地球静止卫星的云产品是地面天气云观测(SYNOP)的主要替代手段,已成为中国综合气象观测质量管理体系(QMS)发展和建设的基线产品。本研究满足了中国气象局(CMA)进行此类业务改革的需求,它利用2012年从风云二号E(FY - 2E)地球静止卫星获得的实时观测数据,采用两种不同方法得出云总量和云分类。与地面天气观测相比,FY - 2E估算的云总量通常显著更低(平均低约30%)。本研究中使用的两种方法得出的云分类也与地面观测得到的分类有显著差异(差异在22%至32%之间)。对于使用额外辅助温度廓线的分类方法,差异较小。