首页 >  2017, Vol. 21, Issue (1) : 125-135

摘要

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引用本文:

DOI:

10.11834/jrs.20175328

收稿日期:

2016-12-31

修改日期:

2016-08-25

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南京地区大气气溶胶综合观测与对比分析
1.南京信息工程大学气溶胶与云降水物理重点实验室, 南京 210044;2.中国气象局大气成分观测与服务中心, 北京 100081
摘要:

利用CE-318太阳光度计、MPL激光雷达与卫星观测数据,分别采用光谱消光法、Fernald方法以及MODIS暗像元法(DDV)反演南京地区气溶胶光学厚度,并进行了对比分析。通过研究分析3月3日、6日卫星反演气溶胶光学厚度的空间分布图,发现长江流域附近以及市区(除老山、中山陵等山区地带之外)的AOD较高。3月3日太阳光度计、激光雷达与卫星数据在站点位置(南京信息工程大学,118.7°E,32.2°N)的AOD值分别为0.455、0.289、0.4;3月6日的AOD值分别为0.373、0.267、0.25。通过对比分析3月至9月之间的多天数据,可得3种数据计算所得AOD相差不大,说明卫星与激光雷达反演数据相对可靠。其中,3月3日与3月6日的太阳光度计数据显示,观测地区出现常见的两种AOD变化类型:一种是早晚高,中午低;一种是早低晚高。此外,激光雷达所得数据结果随着时间的变化幅度较大,且可以在有云的天气条件下探测气溶胶;本文利用激光雷达数据计算出的9 km以下AOD值多数在0.3左右,3月3日与3月6日两天之中,2 km以下较脏,出现了一些气溶胶层,6 km以上相对比较干净,个别时段6 km以上高空存在云层。与地基观测相比,卫星虽然时间分辨率虽然低,但是对于大面积的趋势分析却有着绝对的优势。在今后的气溶胶观测发展中,结合三者的优势,有助于以较高精度,大面积反演大气气溶胶空间分布情况,获得较准确的气溶胶参数。

Aerosol comprehensive observation and analysis in Nanjing area
Abstract:

We use CE-318 sun photometer, MPL lidar, and satellite to measure aerosols in Nanjing and employ the spectral light extinction method, Fernald method, and MODIS dark dense vegetation method, respectively, to calculate Aerosol Optical Depth(AOD).The spatial distribution maps of AOD from satellite shows that AOD is higher in March 3 and 6 in the vicinity of the Yangtze River and urban district, respectively(in addition to the Laoshan, Sun Yat Sen, and other mountainous areas). The calculated AOD values in March 3 from the CE-318 sun photometer, MPL lidar, and satellite data were 0.455, 0.289, and 0.4, respectively, and in March 6, the values were 0.373, 0.267, and 0.25, respectively, in site location(Nanjing University of Information Science and Technology; 118.7°E, 32.2°N).By comparing three kinds of AOD data from March to September, we observed that the difference of AOD is small, and the AOD values calculated from satellite and lidar are relatively reliable. In addition, in March 3 and 6, the sun photometric data showed two kinds of AOD variations:the first variation shows that AOD is high in the morning and evening and is low at noon; the second variation indicates that AOD is low in the morning and high in the evening. Moreover, results of the lidar data varied significantly with time, and lidar can be measured during cloudy weather to detect aerosol. This study indicates that the mean value of AOD by lidar below 9 km is approximately 0.3.In March 3 and 6, the area below 2 km was dirty, indicating that it contains some aerosols, whereas the area above 6km was relatively clean, which implies the presence of some clouds. Compared with ground-based observations, although the temporal resolution of satellite is low, satellite has an absolute advantage in case of trend analysis of a large area. In the development of aerosol observation in the future, combined with the advantages of the three observation methods, the proposed method can be helpful in the observation of large areas with high precision to retrieve the atmospheric aerosol spatial distribution and obtain more accurate aerosol parameters.

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