PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers

O'Meara, Simon Patrick; Xu, Shuxuan; Topping, David; Alfarra, M. Rami; Capes, Gerard; Lowe, Douglas; Shao, Yunqi; McFiggans, Gordon

doi:https://doi.org/10.5194/gmd-14-675-2021

Articles | Volume 14, issue 2

https://doi.org/10.5194/gmd-14-675-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Simulation chambers as tools in atmospheric research (AMT/ACP/GMD...

https://doi.org/10.5194/gmd-14-675-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

Model description paper

|

02 Feb 2021

Model description paper |

| 02 Feb 2021

PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers

Simon Patrick O'Meara, Shuxuan Xu, David Topping, M. Rami Alfarra, Gerard Capes, Douglas Lowe, Yunqi Shao, and Gordon McFiggans

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Final revised paper (published on 02 Feb 2021)
Preprint (discussion started on 20 Aug 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of the manuscript titled PyCHAM (v1.3.4): a Python box model for simulating aerosol chambers', Anonymous Referee #1, 19 Sep 2020
RC2: 'Comments on PyCHAM', Anonymous Referee #2, 20 Sep 2020
RC3: 'Review of O'Meara et al', Anonymous Referee #3, 03 Oct 2020
AC1: 'Response to referees for 'PyCHAM (v1.3.4): a Python box model for simulating aerosol chambers'', Simon O'Meara, 28 Oct 2020
AC2: 'Addendum to author response', Simon O'Meara, 24 Nov 2020

Peer-review completion

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

AR by Katja Gänger on behalf of the Authors (04 Nov 2020) Author's response

ED: Referee Nomination & Report Request started (12 Nov 2020) by Slimane Bekki

RR by Anonymous Referee #2 (15 Nov 2020)

RR by Anonymous Referee #1 (29 Nov 2020)

ED: Publish as is (10 Dec 2020) by Slimane Bekki

Short summary

User-friendly and open-source software for simulating aerosol chambers is a valuable tool for research scientists in designing and analysing their experiments. This paper describes a new version of such software and will therefore provide a useful reference for those applying it. Central to the paper is an assessment of the software's accuracy through comparison against previously published simulations.