Preprints
https://doi.org/10.5194/egusphere-2025-2823
https://doi.org/10.5194/egusphere-2025-2823
21 Aug 2025
 | 21 Aug 2025
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

The role of size in the multiple scattering correction C for dual-spot aethalometer: a field and laboratory investigation

Laura Renzi, Claudia Di Biagio, Johannes Heuser, Marco Zanatta, Mathieu Cazaunau, Antonin Bergé, Edouard Pangui, Jérôme Yon, Tommaso Isolabella, Dario Massabò, Virginia Vernocchi, Martina Mazzini, Chenjie Yu, Paola Formenti, Benedicte Picquet-Varrault, Jean-Francois Doussin, and Angela Marinoni

Abstract. The dual-spot aethalometer AE33 is a widely used instrument for measuring the aerosol absorption coefficient, but the accuracy of its measurements is heavily dependent on the multiple scattering correction factor (C), which compensates for multiple scattering effects in the filter matrix. Despite its widespread use, the factors influencing variability of C remain poorly understood, particularly in relation to aerosol properties.

In this work, we explore the variability of C for the AE33 in a wide range of conditions and aerosol properties by combining chamber experiments with freshly emitted laboratory-generated soot and ambient data from a mountaintop site in Italy (Monte Cimone, CMN). The C factor is derived by comparison with independent filter-based instruments such as the MAAP (Multi-Angle Absorption Photometer) and MWAA (Multi-Wavelength Absorption Analyzer) at CMN and the extinction-minus-scattering (EMS) approach in chamber experiments.

The mean C value at a wavelength of 637 nm derived at CMN is 2.35 with a standard deviation of 0.58, while the average values obtained in chamber experiments in different conditions range from 2.89 ± 0.03 to 3.9 ± 0.06. The variability of C at CMN appears to be primarily influenced by the signal-to-noise ratio of the instruments, especially during the colder months when absorption coefficient values fall below 1 Mm⁻¹. In contrast, in the chamber experiments, the variability is mainly driven by particle properties. The C value at 637 nm, derived from measurements at CMN, increases with increasing single scattering albedo (SSA), particularly for SSA values above 0.94, while showing no statistically significant spectral variability. Both ambient and chamber experiments highlight the dependence of the C factor on particle size, with C increasing as particle diameter decreases below 120 nm. This size dependence is relatively small (within 15 %) under ambient conditions dominated by mostly scattering aerosols, but it leads to changes greater than 60 % for highly absorbing soot particles.

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Laura Renzi, Claudia Di Biagio, Johannes Heuser, Marco Zanatta, Mathieu Cazaunau, Antonin Bergé, Edouard Pangui, Jérôme Yon, Tommaso Isolabella, Dario Massabò, Virginia Vernocchi, Martina Mazzini, Chenjie Yu, Paola Formenti, Benedicte Picquet-Varrault, Jean-Francois Doussin, and Angela Marinoni

Status: open (until 26 Sep 2025)

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  • RC1: 'Comment on egusphere-2025-2823', Anonymous Referee #1, 12 Sep 2025 reply
Laura Renzi, Claudia Di Biagio, Johannes Heuser, Marco Zanatta, Mathieu Cazaunau, Antonin Bergé, Edouard Pangui, Jérôme Yon, Tommaso Isolabella, Dario Massabò, Virginia Vernocchi, Martina Mazzini, Chenjie Yu, Paola Formenti, Benedicte Picquet-Varrault, Jean-Francois Doussin, and Angela Marinoni
Laura Renzi, Claudia Di Biagio, Johannes Heuser, Marco Zanatta, Mathieu Cazaunau, Antonin Bergé, Edouard Pangui, Jérôme Yon, Tommaso Isolabella, Dario Massabò, Virginia Vernocchi, Martina Mazzini, Chenjie Yu, Paola Formenti, Benedicte Picquet-Varrault, Jean-Francois Doussin, and Angela Marinoni

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Short summary
This study investigates how particle properties affect the accuracy of a common air pollution instrument, the dual-spot aethalometer. By combining lab experiments with real-world data from a mountain site in Italy, we found that the correction factor for this instrument varies mainly due to particle size and measurement conditions. Understanding these influences helps improve air quality monitoring, which is important for assessing pollution impacts on health and climate.
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