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基于FY-4A卫星数据反演气溶胶光学厚度及分析应用
引用本文:许梦婕,鲍艳松,许丹,陆其峰,张兴赢. 基于FY-4A卫星数据反演气溶胶光学厚度及分析应用[J]. 中国环境科学, 2021, 40(12): 5162-5168
作者姓名:许梦婕  鲍艳松  许丹  陆其峰  张兴赢
作者单位:1. 南京信息工程大学大气物理学院, 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, 中国气象局气溶胶与云降水重点开放实验室, 江苏 南京 210044;2. 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;国家卫星气象中心, 北京 100081
基金项目:国家重点研发计划项目(2017YFC1501704,2016YFA0600703,2018YFC1507905);国家自然科学基金资助国际(地区)合作与交流项目(61661136005)
摘    要:风云四号A星(FY-4A)是我国新一代静止气象卫星,多通道扫描成像辐射计(AGRI)是风云四号静止气象卫星的主要载荷之一.为探究FY4A数据用于气溶胶光学厚度(AOD)反演的可行性,基于FY-4A/AGRI数据,利用暗像元算法对2019年2月23~26日及10月27~30日京津冀地区AOD进行反演研究,并与AERONET地基观测AOD数据进行了对比分析.结果表明,基于FY-4A数据及构建响应函数库,通过暗像元方法能较好的反演出京津冀地区气溶胶空间分布;AOD主要的高值区体现在京津冀中南部地区并向周边郊区逐渐降低,在AOD值较大时此特征较为明显;将反演值与同期AERONET地基观测数据对比验证,相关系数达到0.869,均方根误差为0.221,表明AOD反演值与观测值吻合较好,FY-4A卫星数据反演AOD具有一定可行性.

关 键 词:气溶胶光学厚度  暗像元算法  FY-4A/AGRI  AERONET  

Retrieval of aerosol optical depth based on FY-4A satellite data and its analysis and application
XU Meng-jie,BAO Yan-song,XU Dan,LU Qi-feng,ZHANG Xing-ying. Retrieval of aerosol optical depth based on FY-4A satellite data and its analysis and application[J]. China Environmental Science, 2021, 40(12): 5162-5168
Authors:XU Meng-jie  BAO Yan-song  XU Dan  LU Qi-feng  ZHANG Xing-ying
Affiliation:1. Key Laboratory of the China Meteorological Administration Aerosol and Cloud Precipitation, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(IC-FEMD), School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China;2. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, Beijing 100081, China
Abstract:FY-4A is among the new generation of geostationary meteorological satellite in China. Advanced Geostationary Radiation Imager (AGRI) is one of the main sensors boarding on FY-4A. In order to investigate the reliability of the Aerosol Optical Depth (AOD) retrieval using FY-4A measurements, the dark target algorithm was carried out to perform the AOD over Beijing-Tianjin-Hebei region of Feb. 23~26 and Oct. 27~30, 2019. For further study, the inversions were validated with the AERONET ground-network observations. The results are indicated that:Based on the response function library of FY-4A, the dark target algorithm leads to a better understanding of the aerosol spatial distribution over Beijing-Tianjin-Hebei region; The maximum of AOD was mainly in the central and southern part of Beijing-Tianjin-Hebei region, and gradually decreases along the surrounding suburbs; By comparing the retrieval values with the ground-based AERONET observations during the same period, the correlation coefficient was 0.869 and the RMSE was 0.221. It is shown that the AOD retrieval values are in good agreement with the observed values, and the AOD retrieval of FY-4A satellite is reliable.
Keywords:AOD  dark target algorithm  FY-4A/AGRI  Aerosol Robotic Network (AERONET)  
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