2019年10月气溶胶光学特性和仪器比较

Shanshan Lv, J. Jin, Qing Zhou, Yimeng Wang
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引用次数: 1

摘要

气溶胶光学深度(AOD)是反映气溶胶特性的重要参数之一。分析了2019年10月北京特殊时期气溶胶光学特性和气象条件对污染水平的影响。在此期间有污染事件,而国庆庆典和阅兵式在此期间举行,交通限制和工厂减排措施,以改善空气质量。本文利用安装在CMA气象观测中心大气探测实验基地的两台太阳光度计的同步观测数据计算AOD,并初步分析了两台仪器在不同天气条件下产生误差的原因。两种仪器的观测结果一致,AOD偏差基本小于0.03 (@AOD=0.2),相对偏差小于10%。造成差异的主要原因如下:1)虽然AOD的计算原理相同,但由于仪器结构不同,温度校正系数等参数的设置也不同。2)由于观测方式造成的数据间隔不同,在数据时间匹配上存在差异。此外,瞬时AOD变化较大,两种仪器之间的差异也相应增大。3)明显的沙尘、降雨等气象条件影响仪器观测的精度,短波观测对这些变化更为敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aerosol Optical Properties and Instrument Comparisons in October 2019
One of the important parameters reflecting aerosol properties is aerosol optical depth (AOD). The aerosol optical properties and the impact of meteorological conditions on pollution levels were analyzed in a special period in Beijing during October 2019. There were pollution events during this period, whereas the National Day celebration and military parade were held during this period, with traffic restriction and factory emissions reduction measures taken place to improve the air quality. In this study, AOD was calculated from synchronous observation of two sun photometers installed in the experimental base of atmospheric sounding of CMA Meteorological Observation Centre, and the causes of errors of the two instruments under different weather conditions were preliminarily analyzed. The observation results of the two instruments were consistent, and the AOD deviation was basically lower than 0.03 (@AOD=0.2), with the relative deviation smaller than 10%. The main reasons for the difference were summarized as follows: 1) Although the AOD calculation is based on the same principle, the settings of parameters, such as temperature correction coefficient, were different due to different instrument structures. 2) Due to the difference in data interval caused by the observation mode, there were differences in data time matching. Apart from that, the instantaneous AOD changes greatly, the difference between the two instruments increases accordingly. 3) Meteorological conditions, such as obvious dust and rainfall events, affected the accuracy of instrument observation, and short-wave observation is more sensitive to those changes.
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