Using OMPS-LP color ratio to extract stratospheric aerosol particle radius and estimate its uncertainty

IF 2.3 3区 物理与天体物理 Q2 OPTICS
Yi Wang, Mark Schoeberl, Ghassan Taha
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引用次数: 0

Abstract

The Ozone Mapping Profiler Suite Limb Profiler (OMPS-LP) uses limb scattering to measure the aerosol extinction coefficient at multiple wavelengths. We use the color ratio from the OMPS-LP extinction coefficient to derive the median radius of stratospheric aerosols and provide an estimate of its total uncertainty. The total uncertainty combines three primary sources: extinction measurement errors, uncertainty related to assumptions about aerosol size distribution width, and uncertainty due to the scattering phase function used by the OMPS-LP retrieval algorithm. Comparisons with in situ balloon measurements suggest that log-normal aerosol size distribution width values of 1.6 and 1.5 are appropriate for background conditions and the post-Raikoke (2019) eruption, respectively. Our results show favorable agreement with other satellite instruments on retrieved particle size. We show how aerosol particle radii evolve following the 2019 Raikoke and 2022 Hunga eruptions and quantify the uncertainty in particle sizes.
利用OMPS-LP颜色比提取平流层气溶胶粒子半径并估计其不确定度
臭氧测绘剖面仪套件翼面剖面仪(OMPS-LP)利用翼面散射来测量多个波长的气溶胶消光系数。我们使用来自OMPS-LP消光系数的颜色比来推导平流层气溶胶的中位半径,并提供其总不确定性的估计。总不确定性包括三个主要来源:消光测量误差、气溶胶粒径分布宽度假设的不确定性以及OMPS-LP检索算法使用的散射相函数的不确定性。与原位气球测量值的比较表明,对数正态气溶胶粒径分布宽度值1.6和1.5分别适用于背景条件和raikoke(2019)喷发后。我们的结果与其他卫星仪器在回收粒度上的一致。我们展示了2019年Raikoke和2022年Hunga火山爆发后气溶胶颗粒半径的演变,并量化了颗粒大小的不确定性。
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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