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Evaluation of the MODIS C6 Aerosol Optical Depth Products over Chongqing, China

机译:中国重庆市MODIS C6气溶胶光学深度产品的评估

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摘要

The Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 (C6) aerosol optical depth (AOD) products from the 10/3 km Dark Target (DT) and Deep Blue (DB) algorithms are firstly evaluated using ground observed AODs by the sun photometer in Chongqing, a mountainous mega-city in southwest China. The validation results show that MODIS AODs from 10/3 km DT algorithm are comparable with those of the sun photometer, although there are slight overestimations. However, the DB algorithm substantially underestimates MODIS AODs when comparing with those of the sun photometer. Error analyses imply that the bias of surface reflectance estimation is the main error source for both algorithms. The cloud screening scheme of the DT algorithm is more effective than the DB algorithm. The cloud vicinity effect should be considered in the quality control processes for both of the algorithms. A sensitivity test suggests that in complex terrain area, like Chongqing, the collocation method in the validation of satellite products should be carefully selected according to local circumstances. When comparing the monthly mean AODs of MODIS products with sun photometer observations, it shows that the Terra MODIS AOD products are valid to represent the mean statuses in summer and autumn, but the monthly mean of Aqua MODIS AODs are limited in Chongqing.
机译:首先使用太阳光度计通过地面观测到的AOD对来自10/3 km暗目标(DT)和深蓝(DB)算法的中分辨率成像光谱仪(MODIS)集合6(C6)气溶胶光学深度(AOD)产品进行评估。重庆,中国西南部的山区大城市。验证结果表明,尽管存在一些高估,但10/3 km DT算法中的MODIS AOD与太阳光度计具有可比性。但是,与太阳光度计相比,DB算法大大低估了MODIS AOD。误差分析表明,表面反射率估计的偏差是两种算法的主要误差来源。 DT算法的云筛选方案比DB算法更有效。对于这两种算法,都应在质量控制过程中考虑云附近效应。敏感性测试表明,在重庆等复杂地形地区,应根据当地情况谨慎选择卫星产品验证中的搭配方法。将MODIS产品的月平均AOD与太阳光度计观测值进行比较时,可以看出Terra MODIS AOD产品可以有效代表夏季和秋季的平均状况,但重庆市的Aqua MODIS AOD的月平均值有限。

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