风云卫星光学成像仪云特性反演算法和产品发展综述(特邀)  

Cloud Property Retrieval Algorithms and Product Development for Fengyun Satellite Optical Imagers(Invited)

作　　者：刘超 李晶 李博 宋雨辛 徐然 滕诗文 谭仲辉 胡秀清[2] Liu Chao;Li Jing;Li Bo;Song Yuxin;Xu Ran;Teng Shiweng;Tan Zhonghui;Hu Xiuqing(School of Atmospheric Physics,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University of Information Science&Technology,Nanjing 210044,Jiangsu,China;Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,National Satellite Meteorological Center(National Center for Space Weather),Innovation Center for FengYun Meteorological Satellite,China Meteorological Administration,Beijing 100081,China;College of Oceanic and Atmospheric Sciences,Ocean University of China,Qingdao 266100,Shandong,China;College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,Hunan,China)

机构地区：[1]南京信息工程大学大气物理学院,气象灾害预报预警与评估协同创新中心,中国气象局气溶胶-云-降水重点开放实验室,江苏南京210044 [2]中国气象局国家卫星气象中心中国遥感卫星辐射测量和定标重点开放实验室,许健民气象卫星创新中心,北京100081 [3]中国海洋大学海洋与大气学院,山东青岛266100 [4]国防科技大学气象海洋学院,湖南长沙410073

出　　处：《光学学报》2024年第18期29-42,F0002,共15页Acta Optica Sinica

摘　　要：对风云系列卫星光谱载荷的运行现状和观测特点进行概述,回顾了近年来风云卫星被动光谱在云检测、云相态、云顶参数反演等方面的进展,并介绍了新研制的云光学厚度和有效粒子半径的反演算法和产品。总体而言,随着风云卫星光学载荷时空分辨率和辐射观测定标精度的不断提高,需要更多先进、可靠的云特性反演科学和业务算法,建立更加完备的云特性产品,以服务天气监测和气象气候研究需求。Significance As the main sensor of China’s Fengyun series meteorological satellites,spectral imagers are indispensable for observing the characteristics of atmosphere,surface and ocean,and play an important role in weather prediction and climate research due to their high sensitivity and high spatio-temporal resolution.Meanwhile,as a major participant in the energy budget and water cycle of the earth-air system,the cloud is closely related to radiation transmission,weather processes,and climate change.Since its retrieval results are significant for weather analysis,numerical prediction,and disaster warning,the cloud is a main spectral imager detection target.Meanwhile,Fengyun series meteorological satellites are in the rapid development stage.We show the main spectral sensors,the number of channels,and the spatial resolution(Table 1).The spectral response functions of AGRI,MERSI-II,and VIRR cloud sensitive channels in the wavelength range of 0.2-1.8μm and 2-13μm are presented(Figs.1 and 2).Progress The main cloud characteristics include cloud detection,cloud thermodynamic phase,cloud top parameters(cloud top pressure,cloud top height,and cloud top temperature),cloud optical thickness,cloud effective particle radius,and cloud water path.The flow chart of the above cloud products generated by the satellite is given in Fig.3.As the basis of cloud detection is that clouds have high reflectance and low brightness temperature in the visible and near infrared bands,classifying the radiation received by the passive sensor can help identify whether the pixels are cloudy or clear.Chinese scholars have proposed various threshold-based cloud detection algorithms for different sensors,geographical locations,and underlying surface types of Fengyun series satellites.With the improvement of cloud detection accuracy requirements,algorithms have gradually developed from fixed threshold to dynamic threshold,multi-feature combination threshold,and multi-spectral combination threshold.FY-4/AGRI employs observation of 0.65,1.65,3.

关 键 词：光学遥感 风云卫星 云特性 云识别 

分 类 号：P407.4[天文地球—大气科学及气象学]