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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ARD</journal-id>
<journal-title-group>
<journal-title>Aerosol Research Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ARD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Aerosol Research Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2940-3405</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/ar-2026-20</article-id>
<title-group>
<article-title>Look&amp;minus;up tables for complex refractive index correction of particle sizes measured by common research&amp;minus;grade optical particle counters</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Formenti</surname>
<given-names>Paola</given-names>
<ext-link>https://orcid.org/0000-0002-0372-1351</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Di Biagio</surname>
<given-names>Claudia</given-names>
<ext-link>https://orcid.org/0000-0001-8273-6211</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Université Paris Cité and Univ Paris Est Creteil, CNRS, LISA, F−75013 Paris, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>11</day>
<month>06</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>23</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Paola Formenti</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://ar.copernicus.org/preprints/ar-2026-20/">This article is available from https://ar.copernicus.org/preprints/ar-2026-20/</self-uri>
<self-uri xlink:href="https://ar.copernicus.org/preprints/ar-2026-20/ar-2026-20.pdf">The full text article is available as a PDF file from https://ar.copernicus.org/preprints/ar-2026-20/ar-2026-20.pdf</self-uri>
<abstract>
<p>Optical particle counters (OPC) are widely used to measure the aerosol particle number size distribution over a large size range encompassing sub- and super-micron diameters. The measurement principle of OPCs is based on the dependence of light scattering on particle size. However, this dependence is not monotonic at all sizes as light scattering also depends on the particle composition (i.e., the complex refractive index, &lt;em&gt;m&lt;/em&gt;) and morphology. Therefore, the conversion of the measured scattered intensity to the particle size depends on the microphysical properties of the sampled aerosol population and might not be unique at all sizes. While these complexities have been considered before, corrections are typically applied ad-hoc and are not standardised. This paper addresses this issue by providing a consistent and extended database of pre&amp;minus;computed correction factors for a wide range of complex refractive index values representing the composition variability of atmospheric aerosols. These correction factors are calculated for five different commercial OPCs by assuming Mie theory for homogeneous spherical particles, and by varying the real part of the complex refractive index between 1.33 and 1.75 in steps of 0.01 and the imaginary part between 0.0 and 0.4 in steps of 0.001. The datasets are distributed for data users/geophysicists using number size distribution measurements from OPC for their research on atmospheric aerosols. Application and caveats of the corrections factors are discussed, and key recommendations are provided to ensure the robustness and consistency of size distribution datasets.</p>
</abstract>
<counts><page-count count="23"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>European Commission</funding-source>
<award-id>690462</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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<back>
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