New correction method of scattering coefficient measurements of a three-wavelength nephelometer

J. Qiu, Wangshu Tan, Gang Zhao, Yingli Yu, Chunsheng Zhao
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引用次数: 1

Abstract

Abstract. The aerosol scattering coefficient is a significant parameter for estimating aerosol direct radiative forcing, which can be measured by nephelometers. Currently, nephelometers have the problem of non-ideal Lambertian light source and angle truncation. Hence, the observed raw scattering coefficient data need to be corrected. In this study, based on the random forest machine learning model, we have proposed a new method to correct the scattering coefficient measurements of a three-wavelength nephelometer, Aurora 3000, under different relative humidity conditions. The result shows that the empirical corrected values match Mie-calculation values very well at all the three wavelengths and under all the measured relative humidity conditions, with more than 85 % of the corrected values in error by less than 2 %. The correction method is valid to obtain scattering coefficient with high accuracy and there is no need for additional observation data.
三波长散射计散射系数测量的新校正方法
摘要气溶胶散射系数是估算气溶胶直接辐射强迫的重要参数,可通过浊度计测量。目前,浊度计存在非理想朗伯光源和角度截断的问题。因此,需要对观测到的原始散射系数数据进行校正。在本研究中,我们基于随机森林机器学习模型,提出了一种在不同相对湿度条件下对三波长散射计Aurora 3000散射系数测量值进行校正的新方法。结果表明,在三个波长和所有实测相对湿度条件下,经验校正值与mie计算值吻合良好,校正值误差在85%以上,误差小于2%。该校正方法可以获得精度较高的散射系数,且不需要额外的观测资料。
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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