【作者】 车慧正； 夏祥鳌； 张小曳； 王亚强； 张晓春； 孙俊英；

【Author】 Huizheng CHE;Xiangao XIA;Xiaoye ZHANG;Yaqiang Wang(initial surname);Xiaochun ZHANG;Junying SUN;Chinese Academy of Meteorological Sciences;Institute of Atmospheric Physics,Chinese Academy of Sciences;Meteorological Observation Centre,CMA;

【机构】 中国气象科学研究院； 中国科学院大气物理研究所； 中国气象局气象探测中心；

【摘要】 以中国气溶胶地基遥感监测网(China Aerosol Remote Sensing Network-CARSNET)北京-CAMS观测数据为个例,运用Dobvic算法反演分析了气溶胶光学特性,包括光学厚度、Angstrom波长指数、单次散射反照率、粒子体积谱分布、相函数、粗细模态粒子有效半径等。分析结果表明,不同仪器之间气溶胶光学特性呈现出很好的一致性,气溶胶光学厚度较SSA等参数相关性更高;同时比较CARSNET反演结果与AERONET同步观测结果的差异,结果表明,二者之间仍然存在很好一致性,说明CARSNET反演结果具有较好的精度和可信性,为今后中国地区气溶胶卫星遥感结果验证、模式模拟、气溶胶气候效应研究都具有重要意义。更多还原

【Abstract】 Aerosol optical properties such as aerosol optical depth(AOD), Angstrom Exponent, single scattering albedo, volume size distribution, phase function, radius of fine and coarse particls at Beijing have been retrieved by using Cimel sunphotometer measurements of China Aerosol Remote Sensing Network-CARSNET. The results show different aerosol optical properties over different regions of China. Validation of CARSNET’s retrieval results has been done comparing with the simultaneous measurements of AERONET ones. There is good consistency between two networks’ result, which indicates CARSNET data quality can be assured to be used by satellite validation, modeling input, and aerosol climatology studies.更多还原