【作者】 白鸿涛； 冯建东； 陈勇航； 黄建平； 郭铌； 潘鹄； 王洪强；

【Author】 Bai Hongtao1 Feng Jiandong2 Chen Yonghang1 Huang Jianping3 Guo Ni4 Pan Hu1 Wang Hongqiang1(1 College of Environmental Science and Engineering,Donghua University,Shanghai 201620,China 2 Climate Center of Sichuan Meteorological Bureau,Chengdu 610072,China 3 Atmospheric College,Lanzhou University,Lanzhou,730000,China 4 Institute of Arid Meteorology of Chinese Meteorological Administration,Lanzhou,730020,China)

【机构】 东华大学环境科学与工程学院； 四川省气象局气候中心； 兰州大学大气科学学院； 中国气象局兰州干旱研究所；

【摘要】 利用SACOL(兰州大学半干旱气候与环境观测站)气溶胶地基观测资料订正出的春季地表反射率及构建的沙尘气溶胶模型,借助6S大气辐射传输模式,进行了沙尘气溶胶光学厚度的个例反演试验。结果表明:四种反演方案的沙尘气溶胶光学厚度的区域分布均比较合理,说明反演方法可行;其中考虑了波长指数,并用SACOL气溶胶模型进行大气订正得出的地表反射率反演出的沙尘气溶胶光学厚度最接近实际测量值,误差为-7.3%。通过对反演过程中的误差进行数值试验检验,结果表明该反演方法比较稳定。更多还原

【Abstract】 Employing the 6S atmospheric radiation transportation model,the experimental retrieval of dust aerosol optical thickness was performed using surface reflectance during spring of 2007 based on atmospheric correction distribution of dust aerosol optical thickness were reasonable and the operational and dust aerosol model built with SACOL(Semi-Arid Climate & Environment Observatory of Lanzhou University) aerosol observations. The results show that the four schemes of regional algorithm are feasible. The retrieval result derived from the atmospheric correction scheme used in the aerosol model built by SACOL data with consideration for the ?ngstr?m exponent was closest to the surface observation. The relative error was-7.3%. The quantitative analysis of error using a numerical test was performed and the results show that the retrieval was stable.更多还原