An optimised organic carbon&thinsp;∕&thinsp;elemental carbon (OC&thinsp;∕&thinsp;EC) fraction separation method for radiocarbon source apportionment applied to low-loaded Arctic aerosol filters

Rauber, Martin; Salazar, Gary; Yttri, Karl Espen; Szidat, Sönke

doi:https://doi.org/10.5194/amt-16-825-2023

Articles | Volume 16, issue 3

https://doi.org/10.5194/amt-16-825-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-825-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 3

Research article

|

14 Feb 2023

Research article |

| 14 Feb 2023

An optimised organic carbon ∕ elemental carbon (OC ∕ EC) fraction separation method for radiocarbon source apportionment applied to low-loaded Arctic aerosol filters

Martin Rauber, Gary Salazar, Karl Espen Yttri, and Sönke Szidat

Supplement

https://doi.org/10.5194/amt-16-825-2023-supplement

Data sets

Dataset for: An optimised organic carbon/elemental carbon (OC/EC) fraction separation method for radiocarbon source apportionment applied to low-loaded Arctic aerosol filters Martin Rauber https://doi.org/10.5281/zenodo.7612886

Model code and software

COMPYCALC Martin Rauber and Gary Salazar https://doi.org/10.5281/zenodo.7368424

martin-rauber/sunset-calc Martin Rauber and Jan Straehl https://doi.org/10.5281/zenodo.6148364

Short summary

Carbon-containing aerosols from ambient air are analysed for radioactive isotope radiocarbon to determine the contribution from fossil-fuel emissions. Light-absorbing soot-like aerosols are isolated by water extraction and thermal separation. This separation is affected by artefacts, for which we developed a new correction method. The investigation of aerosols from the Arctic shows that our approach works well for such samples, where many artefacts are expected.