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dc.contributor.authorCotterell, MI
dc.contributor.authorSzpek, K
dc.contributor.authorHaywood, JM
dc.contributor.authorLangridge, JM
dc.date.accessioned2020-11-13T10:09:57Z
dc.date.issued2020-05-21
dc.description.abstractAerosol refractive index (RI) is related to particle composition and density, is used in optical spectroscopy studies to probe aerosol physiochemical properties during chemical reactions and gas-particle partitioning, and is important in atmospheric physics. Indeed, aerosol radiative forcing calculations require accurate descriptions of the real (n) and imaginary (k) RI components and their dependence on wavelength, humidity and particle mixing state. Using cavity ring-down spectroscopy (CRDS) and photoacoustic spectroscopy (PAS) to measure the extinction and absorption cross sections for mobility-selected aerosols is recognized as a good approach to retrieving n and k accurately. However, little work has assessed rigorously the sensitivity and accuracy of the retrieved values from this approach. This work investigates RI retrievals from CRDS- and PAS-measured optical properties for mobility-selected aerosols composed of ammonium sulfate (non-absorbing), nigrosin (strongly light absorbing) or a mixture of these two species. Importantly, we assess the sensitivity in our RI retrievals and then apply a Monte Carlo error propagation analysis to quantify the retrieval accuracy. Our Monte Carlo analysis is the first to account for the full range of uncertainties involved in RI retrievals from optical measurements on mobility-selected aerosol. We also report the first experimental validation of predictive RI mixing rules for non-aqueous internally mixed light absorbing aerosols by comparing mixing rule predictions with measurements for aerosol composed of internal mixtures of ammonium sulfate and nigrosin. The commonplace volume fraction mixing rule fails to predict refractive indices accurately and mixing rules with a physical basis must be used.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationVol. 54, No. 9, pp. 1034 - 1057en_GB
dc.identifier.doi10.1080/02786826.2020.1757034
dc.identifier.grantnumberNE/ L013797/1en_GB
dc.identifier.grantnumberNE/S00212X/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/123608
dc.language.isoenen_GB
dc.publisherTaylor & Francisen_GB
dc.rights© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.titleSensitivity and accuracy of refractive index retrievals from measured extinction and absorption cross sections for mobility-selected internally mixed light absorbing aerosolsen_GB
dc.typeArticleen_GB
dc.date.available2020-11-13T10:09:57Z
dc.identifier.issn0278-6826
dc.descriptionThis is the final version. Available on open access from Taylor & Francis via the DOI in this record. en_GB
dc.descriptionData availability: For data related to this article, please contact Michael I. Cotterell (m.cotterell@bristol.ac.uk).
dc.identifier.eissn1521-7388
dc.identifier.journalAerosol Science and Technologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-04-10
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-05-21
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-11-13T10:05:40Z
refterms.versionFCDVoR
refterms.dateFOA2020-11-13T10:10:06Z
refterms.panelBen_GB


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© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits
unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.