Inferring the absorption properties of organic aerosol in biomass burning plumes from remote optical observations

I. Konovalov, N. A. Golovushkin, M. Beekmann, M. Panchenko, M. Andreae
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引用次数: 2

Abstract

Abstract. Light-absorbing organic matter, known as brown carbon (BrC), has previously been found to significantly enhance the absorption of solar radiation by biomass burning (BB) aerosol. Previous studies also proposed methods aimed at constraining the BrC contribution to the overall aerosol absorption using the absorption Ångström exponents (AAEs) derived from the multi-wavelength remote observations at Aerosol Robotic Network (AERONET). However, representations of the BrC absorption in atmospheric models remain uncertain, particularly due to the high variability of the absorption properties of BB organic aerosol (OA). As a result, there is a need for stronger observational constraints on these properties. We extend the concept of the established AAE-based methods in the framework of our Bayesian method, which combines remote optical observations with Monte Carlo simulations of the aerosol absorption properties. We propose that the observational constraints on the absorption properties of BB OA can be enhanced by using the single scattering albedo (SSA) as part of the observation vector. The capabilities of our method were first examined by using synthetic data, which were intended to represent the absorption properties of BB aerosol originating from wildfires in Siberia. We found that observations of AAEs and SSA can provide efficient constraints not only on the BrC contribution to the total absorption but also on both the imaginary part of the refractive index and mass absorption efficiency of OA. As a result of the subsequent application of our method to the original multi-annual data from Siberian AERONET sites, we estimated that the average contribution of BrC to the overall light absorption by BB aerosol in Siberia at the 440 nm wavelength is about 15 %, although, in some cases, it can be more than 30 %. Based on the analysis of the AERONET data, we also derived simple nonlinear parameterizations for the absorption characteristics of BB OA in Siberia as functions of AAE.
从遥感光学观测推断生物质燃烧羽流中有机气溶胶的吸收特性
摘要被称为棕色碳(BrC)的吸收光的有机物质,先前已被发现可以显著增强生物质燃烧(BB)气溶胶对太阳辐射的吸收。以前的研究也提出了一些方法,旨在利用气溶胶机器人网络(AERONET)多波长远程观测得出的吸收Ångström指数(AAEs)来限制BrC对总体气溶胶吸收的贡献。然而,大气模式中BrC吸收的表征仍然不确定,特别是由于BB有机气溶胶(OA)吸收特性的高度变异性。因此,需要对这些性质进行更强的观测约束。我们在贝叶斯方法的框架内扩展了已建立的基于ae的方法的概念,该方法将远程光学观测与气溶胶吸收特性的蒙特卡罗模拟相结合。我们提出利用单散射反照率(SSA)作为观测向量的一部分,可以增强对BB OA吸收特性的观测约束。我们的方法的能力首先通过使用合成数据进行检验,这些数据旨在表示来自西伯利亚野火的BB气溶胶的吸收特性。我们发现AAEs和SSA的观测不仅可以有效地约束BrC对总吸收的贡献,还可以有效地约束OA的折射率虚部和质量吸收效率。随后将我们的方法应用于西伯利亚AERONET站点的原始多年数据,我们估计BrC对西伯利亚BB气溶胶在440nm波长上的总光吸收的平均贡献约为15%,尽管在某些情况下可能超过30%。在分析AERONET数据的基础上,我们还推导了西伯利亚BB OA吸收特征作为AAE函数的简单非线性参数化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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