Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data

Tikkanen, Olli-Pekka; Hämäläinen, Väinö; Rovelli, Grazia; Lipponen, Antti; Shiraiwa, Manabu; Reid, Jonathan P.; Lehtinen, Kari E. J.; Yli-Juuti, Taina

doi:https://doi.org/10.5194/acp-19-9333-2019

Articles | Volume 19, issue 14

https://doi.org/10.5194/acp-19-9333-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-9333-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 14

Research article

|

22 Jul 2019

Research article |

| 22 Jul 2019

Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data

Olli-Pekka Tikkanen, Väinö Hämäläinen, Grazia Rovelli, Antti Lipponen, Manabu Shiraiwa, Jonathan P. Reid, Kari E. J. Lehtinen, and Taina Yli-Juuti

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Preprint (discussion started on 05 Mar 2019)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of the manuscript “Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data”', Anonymous Referee #1, 16 Apr 2019
- AC1: 'Reply to reviewer #1', Olli-Pekka Tikkanen, 12 Jun 2019
RC2: 'Referee Comment #2', Anonymous Referee #2, 24 Apr 2019
- AC2: 'Reply to reviewer #2', Olli-Pekka Tikkanen, 12 Jun 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Olli-Pekka Tikkasalo on behalf of the Authors (12 Jun 2019) Author's response Manuscript

ED: Publish as is (14 Jun 2019) by Barbara Ervens

AR by Olli-Pekka Tikkasalo on behalf of the Authors (21 Jun 2019) Manuscript

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Short summary

We assessed how well the organic aerosol particle composition and viscosity can be captured by optimizing process models to match particle evaporation data. We performed the analysis for both artificial and real evaporation data and tested two optimization algorithms. Our findings show that the optimization method yields a good estimate for the studied properties. The timescale of the evaporation data and particle size was found to be important in identifying the volatility of organic compounds.