The rate of equilibration of viscous aerosol particles

O'Meara, Simon; Topping, David O.; McFiggans, Gordon

doi:https://doi.org/10.5194/acp-16-5299-2016

Articles | Volume 16, issue 8

https://doi.org/10.5194/acp-16-5299-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-5299-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 8

Research article

|

28 Apr 2016

Research article |

| 28 Apr 2016

The rate of equilibration of viscous aerosol particles

Simon O'Meara, David O. Topping, and Gordon McFiggans

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Final revised paper (published on 28 Apr 2016)
Preprint (discussion started on 18 Jan 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'referee comment', Anonymous Referee #1, 11 Feb 2016
- AC1: 'Response to reviewer 1 comments', Simon O'Meara, 11 Mar 2016
- AC2: 'Further response to reviewer 1 comments', Simon O'Meara, 04 Apr 2016
RC2: 'Review', Anonymous Referee #2, 12 Feb 2016
- AC3: 'Author response to reviewer 2', Simon O'Meara, 04 Apr 2016
- AC4: 'Author response to reviewer 2', Simon O'Meara, 04 Apr 2016

Peer-review completion

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

AR by Simon O'Meara on behalf of the Authors (04 Apr 2016) Author's response Manuscript

ED: Publish as is (05 Apr 2016) by Markus Petters

AR by Simon O'Meara on behalf of the Authors (13 Apr 2016) Author's response Manuscript

Short summary

To understand the effect of atmospheric particulate matter on climate and human health we need to know how it evolves. We investigate how best to estimate diffusion of components through particles by comparing diffusion times from three approaches to solving Fick's Law and find that they agree. This means that scientists can simulate Fickian diffusion through atmospheric particles using the approach best suited to their requirements and have confidence that their model is mathematically sound.