大气模式对气溶胶光学参量反演及分类的影响研究

Influence of atmospheric models on the aerosol optical parameters inversion and classification

  • 摘要: 气溶胶对全球生态系统、物质循环具有重要影响,研究气溶胶光学参量等基础数据反演的准确性意义重大。利用来自欧洲气溶胶研究激光雷达网的4个观测站点(波坦察、莱比锡、里尔、埃武拉)在两次集中观测任务中的数据,对使用不同大气模式的温度、压强数据在反演气溶胶光学参量(消光和后向散射系数)及气溶胶分类中所产生的影响进行研究。结果表明:选用不同的大气模式对气溶胶光学参量进行反演会导致计算结果出现偏差,其中对于Raman法获取气溶胶消光系数的影响较大,在355 nm和532 nm处的最大偏差均可达到~20%。大气气溶胶浓度也会对不同模式的气溶胶光学参量反演结果产生影响,并且随观测波长的不同而有所差异。此外,不同大气模式会使气溶胶激光雷达比以及Ångström指数等与气溶胶类型相关的参量反演结果产生偏差,并最终影响气溶胶的分类。文中研究结果对于揭示大气模式的选取在反演气溶胶光学参量中的重要性以及对于气溶胶分类乃至大气科学的相关研究都具有重要的参考价值。

     

    Abstract: Aerosols have a significant impact on the global ecosystem, material cycle, so it is important to study the accuracy of basic data such as aerosol optical parameters. Using the data from four observing stations (Potenza, Leipzig, Lille, Evora) of the European Aerosol Research Lidar Network during two intensive measurement campaigns, the effects of temperature and pressure profiles provided by different atmospheric models on the inversion of aerosol optical parameters (extinction and backscatter coefficients) and aerosol classification are analyzed. The results show that: different atmoshpere models have an influence on the retrieval results of aerosol optical parameters, resulting in deviations in the calculation results, more influence can be found from the aerosol extinction coefficients obtained by the Raman method, with the maximum deviation ~20% at both 355 nm and 532 nm. Atmosphere aerosol concentration can also affect the retrieval results of aerosol optical parameter with different models and vary with the wavelength of observation. In addition, different models can influence the retrieval results of the aerosol lidar ratio and Ångström exponent, which are related to aerosol types, and ultimately affect the aerosol classification. The results are significant for revealing the importance of the selection of atmospheric models in the retrieval of aerosol optical parameters, for aerosol classification and related research in atmospheric science.

     

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