基于FY4A⁃AGRI反演东北地区云顶高度  

Cloud Top Height Retrieval in Northeast China Based on FY4A-AGRI

作　　者：董焱 鲍艳松[1,2] 许丹[1,2] 陈强[4] 李叶飞[4] 崔伟[4] 孙杰[4] DONG Yan;BAO Yansong;XU Dan;CHEN Qiang;LI Yefei;CUI Wei;SUN Jie(School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China;Joint Laboratory of Meteorological Environment Satellite Engineering and Application,Key Laboratory of Aerosol and Cloud Precipitation of China Meteorological Administration,Cooperative Innovation Center for Forecasting,Early Warning and Assessment of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China;College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,Hunan,China;Shanghai Institute of Satellite Engineering,Shanghai 200240,China)

机构地区：[1]南京信息工程大学大气物理学院,江苏南京210044 [2]南京信息工程大学气象灾害预报预警与评估协同创新中心,气象环境卫星工程与应用联合实验室中国气象局气溶胶与云降水重点开放实验室,江苏南京210044 [3]国防科技大学气象海洋学院,湖南长沙410073 [4]上海卫星工程研究所,上海200240

出　　处：《上海航天（中英文）》2021年第6期8-20,35,共14页Aerospace Shanghai（Chinese&English）

基　　金：中国航天科技集团公司第八研究院产学研合作基金(SAST2019⁃042);国家重点研发计划(2016YFA0600703)。

摘　　要：云对全球的能量收支及大气循环系统具有不可替代的调节作用,是影响天气及气候变化的重要因子。云顶高度作为云的重要参数,有助于分析云在大气中的物理机制,对局部地区监测和预报具有实质性作用。基于多通道扫描辐射成像仪(AGRI)数据反演东北地区云顶高度,采用红外分裂窗查算表方法,并对不同季节和不同云类型建立查算表,探讨基于静止卫星反演中高纬度地区云顶高度的可行性。同时,引入主动式高精度仪器正交偏振云-气溶胶偏振雷达(CALIOP),结合11、12μm通道亮温数据搭建云顶高度反演模型。分析结果表明:1)AGRI遥感的云顶高度与CALIPSO搭载的CALIOP云顶高度变化趋势一致,算法计算效率较高;2)从4个季节的统计结果来看,均方根误差(RMSE)上都小于2.3 km,平均偏差在500 m左右,受季节的影响较小,反演结果与CALIOP探测结果具有较高的一致性;3)利用该方法基于AGRI结果精度不亚于官方采用的CO_(2)薄片法,该方法估算的RMSE和相对误差较小,并且该算法的反演模型只提取红外分裂窗区通道数据,无需大气廓线资料进行辅助计算,节省计算资源,提高计算效率。Cloud plays an irreplaceable role in regulating global energy budget and atmospheric circulation system,and is an important factor affecting weather and climate change.As an important parameter of cloud,cloud top height is helpful to analyze the physical mechanism of cloud in the atmosphere,and plays a substantial role in local monitoring and forecasting.Based on the advanced geostationary radiation imager(AGRI)data,the cloud top height in Northeast China is retrieved.The infrared split window look-up table method is used to establish the look-up table for different seasons and different cloud types.The feasibility of retrieving the cloud top height in mid-high latitudes based on geostationary satellite is discussed.At the same time,an active high-precision instrument,i.e.,cloud aerosol lidar with orthogonal polarization(CALIOP),is introduced to build the cloud top height inversion model,combining the brightness temperature data of 11μm and 12μm channels.The results show that:1)The cloud top height of AGRI remote sensing is consistent with that of cloud-aerosols lidar and infrared pathfinder satellite observations(CALIPSO),and the algorithm is efficient.2)The root mean square error is less than 2.3 km.The mean error is about 500 m and is less affected by the season,the inversion results are in good agreement with the CALIOP detection results.3)The accuracy of the infrared split window look-up table method based on the AGRI data is no less than that of the official CO_(2) slicing method,and the RMSE and relative error are small.In addition,the inversion model of this algorithm only extracts the channel data in the infrared split window area,and does not need the auxiliary calculation of the atmospheric profile data,which saves the calculation resources and improves the calculation efficiency.

关 键 词：多通道扫描辐射成像仪(AGRI) 正交偏振云-气溶胶偏振雷达(CALIOP) 云顶高度 红外分裂窗通道 中高纬度地区 

分 类 号：P407[天文地球—大气科学及气象学]