A review of stratospheric aerosol characterization

Bingen, Christine; Fussen, D.; Vanhellemont, F.

doi:10.1016/j.asr.2006.02.061

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…1). While getting accurate particle size information from remote sensing observations is challenging, both the ACE-FTS and SAGE instruments are capable of providing estimates for the underlying distribution's mode radius (e.g., Heintzenberg et al, 1981; Fussen , 2001;Bingen et al, 2006;Wrana et al, 2021). Mode radius estimates for the particles classified as smoke in Fig.…”

Section: Evidence For Misclassification Based On Size Estimatesmentioning

confidence: 99%

Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra

et al. 2022

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We developed a technique to classify the composition of enhanced aerosol layers as either smoke or sulfuric acid aerosol using extinction spectra from the Stratospheric Aerosol and Gas Experiment III instrument aboard the International Space Station (SAGE III/ISS). This method takes advantage of the different spectral properties of smoke and sulfuric acid aerosol, which is manifest in distinctly different spectral slopes in the SAGE III/ISS data. Herein we demonstrate the utility of this method and present an evaluation of its performance using four case-study events of two moderate volcanic eruptions (2018 Ambae eruption and 2019 Ulawun eruption, both of which released <0.5 Tg of SO 2 ) and two large wildfire events (2017 Canadian pyroCb and 2020 Australian pyroCb). We provide corroborative data from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument to support these classifications. This method correctly classified smoke and sulfuric acid plumes in the case-study events >81 % and >99.5 % of the time, respectively. The application of this method to a large volcanic event (i.e., the 2019 Raikoke eruption; ≥ 1.5 Tg SO 2 ) serves as an example of why this method is limited to small and moderate volcanic events as it incorrectly classified Raikoke's larger sulfuric acid particles as smoke. We evaluated the possibility of smoke being present in the stratosphere before and after the Raikoke eruption. While smoke was present during this time period it was insufficient to account for the magnitude of smoke classifications we observed. Therefore, while this method worked well for largescale wildfire events and eruptions that inject less SO 2 , the size of the aerosol created by the Raikoke eruption was outside the applicable range of this method.

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Section: Evidence For Misclassification Based On Size Estimatesmentioning

confidence: 99%

Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra

et al. 2022

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“…The necessity of using extinction ratios, as opposed to extinction coefficients, for eliminating the influence of number density (N) and inferring aerosol physical parameters has been discussed previously (e.g., Thomason et al, 1997;Bingen et al, 2006;Wrana et al, 2021). Therefore, the method of determining the atmospheric PSD parameters is straight forward and requires only searching through the LUTs to identify all PSD parameters that yield extinction ratios that match extinction ratios from the SAGE records to within the bounds of the reported uncertainty.…”

Section: Historical Backgroundmentioning

confidence: 99%

Characterization of Particle Size Distribution Uncertainties using SAGE II and SAGE III/ISS Extinction Spectra

Knepp,

Kovilakam,

Thomason

et al. 2023

Preprint

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Abstract. A new algorithm was developed to infer particle size distribution parameters from the Stratospheric Aerosol and Gas Experiment II (SAGE II) and SAGE III on the International Space Station (SAGE III/ISS) extinction spectra using a lookup table (LUT) approach. Here, the SAGE-based extinction ratios were matched to LUT values and, using these matches, weighted statistics were calculated to infer the median particle size distribution values as well as quantify the uncertainty in these estimates. This was carried out by solving for both single and bimodal lognormal distributions. The work presented herein falls under 2 general headings: 1. a theoretical study was carried out to determine the accuracy of this methodology; 2. the solution algorithm was applied to the SAGE II and SAGE III/ISS records with a brief case study analysis of the 2022 Hunga Tonga eruption.

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In Situ Collection of Refractory Dust in the Upper Stratosphere: The DUSTER Facility

et al. 2012

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A review of stratospheric aerosol characterization

Cited by 4 publications

References 49 publications

Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra

Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra

Characterization of Particle Size Distribution Uncertainties using SAGE II and SAGE III/ISS Extinction Spectra

In Situ Collection of Refractory Dust in the Upper Stratosphere: The DUSTER Facility

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