FY-4A/AGRI海表温度产品和质量检验  

FY-4A/AGRI Sea Surface Temperature Product and Quality Validation

作　　者：崔鹏 王素娟 陆风[1,2,3] 肖萌 Cui Peng;Wang Sujuan;Lu Feng;Xiao Meng(National Satellite Meteorological Center/National Center for Space Weather,Beijing 100081;Innovation Center for Fengyun Meteorological Satellite,Beijing 100081;Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,China Meteorological Administration,Beijing 100081)

机构地区：[1]国家卫星气象中心/国家空间天气监测预警中心,北京100081 [2]许健民气象卫星创新中心,北京100081 [3]中国气象局中国遥感卫星辐射测量和定标重点开放实验室,北京100081

出　　处：《应用气象学报》2023年第3期257-269,共13页Journal of Applied Meteorological Science

基　　金：风云四号A星地面系统工程,国家重点研究发展计划(2018YFC1506601)。

摘　　要：风云四号气象卫星A星(FY-4A)是我国第2代静止气象卫星首发星,搭载的先进静止轨道辐射成像仪AGRI是迄今为止我国静止轨道最先进的辐射成像仪。海表温度产品是FY-4A/AGRI基础定量产品之一,采用非线性海表温度算法在业务系统实时反演得到。以现场实测海表温度数据为参考,选择观测时间为30 min、观测空间距离为4 km的时空匹配窗口,对FY-4A/AGRI海表温度产品进行质量检验,评估结果表明:质量为优的像元平均偏差为-0.45~-0.42℃,标准差为0.81~0.88℃,相关系数在0.985以上。以Himawari-8/AHI海表温度数据为参考,按观测时间为1 h、空间距离为4 km的时空匹配窗口,对FY-4A/AGRI海表温度进行质量检验,质量为优的像元平均偏差为-0.26~-0.07℃,标准差为0.68~0.82℃,两者相关系数在0.985以上,达到0.001显著性水平。Fengyun-4A(FY-4A)is the first satellite of China's second-generation geostationary orbit meteorological satellites.The advanced geostationary radiation imager(AGRI),a multiple channel radiation imager,is one of the primary payloads onboard FY-4A.As one basic quantitative remote sensing product,the operational sea surface temperature(SST)is derived with the split-window nonlinear SST(NLSST)algorithm in real time.The operational NLSST procedures and products are described in detail.The FY-4A/AGRI SST products provide full-disk SST with spatial resolution of 4 km at the nadir.The quality level information is delivered with each pixel to provide information about the conditions of the processing.Quality level for each pixel information is defined as follows:Excellent,good,bad and unprocessed(cloud,land,no satellite data etc.).The users can select the SST data with certain quality level according to their application purposes(e.g.,for climate-related studies,only the SST data with the excellent quality level in the time series are used,and for identifying and tracking specific ocean features,users may be more tolerant of lower-quality SST data).The accuracy of FY-4A/AGRI SST algorithm is assessed by determining the standard deviation and bias errors from the regression procedure of the matchup database between satellite data and quality controlled SST data from NOAA in situ SST quality monitor,from July 2021 to June 2022.The validation methods and results are described in detail.The matchup database combining FY-4A/AGRI measurements and in situ SST have been built on a routine basis.At the stage of the matchup database in association with the drifter temperatures,the matchup database is composed of pixels under clear sky conditions.The FY-4A/AGRI SST data with excellent quality level are compared with drifting and tropical moored buoy data.The matchup space-time window is 4 km and 30 min from the buoy location to the center of the SST pixel.The comparison shows a bias of-0.45 to-0.42℃and a standard deviation of 0.81

关 键 词：FY-4A/AGRI 海表温度 质量控制 

分 类 号：P715.7[天文地球—海洋科学] P714.1