光学学报, 2019, 39 (10): 1001004, 网络出版: 2019-10-09
MODIS C061气溶胶光学厚度产品在西安地区的适用性研究 
下载： 1006次
Applicability of MODIS C061 Aerosol Optical Depth Products in Xi'an Region
图 & 表
图 1. 太阳光度计与MODIS气溶胶产品的匹配原则和对比分析路线
Fig. 1. Matching principle and comparative analysis route between sky radiometer and MODIS aerosol product
图 2. 西安地区太阳光度计2016年8个时段Langley标定方法的结果。(a) 2016/02/08上午;(b) 2016/05/10上午; (c) 2016/09/10上午; (d) 2016/09/11上午; (e) 2016/10/18上午; (f) 2016/02/02下午; (g) 2016/05/10下午; (h) 2016/09/11下午
Fig. 2. Results of Langley calibration method from 8-period measurements by sky radiometer for Xi'an region in 2016. (a) 2016/02/08 AM; (b) 2016/05/10 AM; (c) 2016/09/10 AM; (d) 2016/09/11 AM; (e) 2016/10/18 AM; (f) 2016/02/02 PM; (g) 2016/05/10 PM; (h) 2016/09/11 PM
图 3. 2016年OMI的臭氧柱含量日变化及月平均分布图。(a)日均值;(b)月均值
Fig. 3. Daily variation and monthly average distribution of Ozone column amount from OMI measurements in 2016. (a) Daily mean values; (b) monthly mean values
图 4. 西安地区MODIS三种反演方法的结果。(a)每月有效观测样本数;(b) AOD月均值
Fig. 4. Results of three MODIS inversion algorithms for Xi'an region. (a) Numbers of effective observation samples per month; (b) monthly mean values of AOD
图 5. 不同波长下气溶胶光学厚度变化特征(N :样本数)
Fig. 5. Variation characteristics of AOD under different wavelengths (N : number of samples)
图 6. 太阳光度计与MODIS三种反演算法获得的气溶胶光学厚度的相关性。(a) DT;(b) DB;(c) DT&DB
Fig. 6. Correlation between AODs calculated from sky radiometer and three MODIS inversion algorithms. (a) DT; (b) DB; (c) DT&DB
图 7. MODIS算法与太阳光度计反演的气溶胶光学厚度逐日对比图。(a) DT和POM-02;(b) DB和POM-02;(c) DT&DB和 POM-02
Fig. 7. Daily comparisons of AODs inverted from three MODIS algorithms and sky radiometer. (a) DT and POM-02; (b) DB and POM-02; (c) DT&DB and POM-02
图 8. MODIS三种算法与POM-02反演的AOD差值
Fig. 8. AOD differences between three MODIS algorithms and POM-02
图 9. 由DT&DB算法获得的关中地区气溶胶光学厚度年平均分布图
Fig. 9. Annual mean distribution of AODs in Guanzhong Plain calculated by DT&DB algorithm
图 10. 由DT&DB算法获得的西安及周边地区气溶胶光学厚度季节分布图。(a)春季;(b)夏季;(c)秋季;(d)冬季
Fig. 10. Seasonal mean distributions of AOD in Xi'an and its surrounding regions calculated by DT&DB algorithm. (a) Spring; (b) summer; (c) autumn; (d) winter
刘晶晶, 刘芸, 王国英, 华灯鑫, 王骏, 闫庆, 何廷尧, 高飞. MODIS C061气溶胶光学厚度产品在西安地区的适用性研究[J]. 光学学报, 2019, 39(10): 1001004. Jingjing Liu, Yun Liu, Guoying Wang, Dengxin Hua, Jun Wang, Qing Yan, Tingyao He, Fei Gao. Applicability of MODIS C061 Aerosol Optical Depth Products in Xi'an Region[J]. Acta Optica Sinica, 2019, 39(10): 1001004.
PDF全文
