ORACLE (v1.0): module to simulate the organic aerosol composition and evolution in the atmosphere

Tsimpidi, A. P.; Karydis, V. A.; Pozzer, A.; Pandis, S. N.; Lelieveld, J.

doi:https://doi.org/10.5194/gmd-7-3153-2014

Articles | Volume 7, issue 6

https://doi.org/10.5194/gmd-7-3153-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

The Modular Earth Submodel System (MESSy) (ACP/GMD inter-journal...

https://doi.org/10.5194/gmd-7-3153-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 7, issue 6

Model description paper

|

21 Dec 2014

Model description paper |

| 21 Dec 2014

ORACLE (v1.0): module to simulate the organic aerosol composition and evolution in the atmosphere

A. P. Tsimpidi, V. A. Karydis, A. Pozzer, S. N. Pandis, and J. Lelieveld

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Final revised paper (published on 21 Dec 2014)
Preprint (discussion started on 12 Aug 2014)

Interactive discussion

Status: closed

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

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- Supplement

SC C1593: 'Exec Editor Comments', Robert Marsh, 05 Sep 2014
RC C1898: 'Review of Tsimpidi et al, 2014', Anonymous Referee #1, 05 Oct 2014
- AC C2187: 'Response to referee #1', Alexandra Tsimpidi, 31 Oct 2014
RC C1921: 'review', Anonymous Referee #2, 06 Oct 2014
- AC C2188: 'Response to referee #2', Alexandra Tsimpidi, 31 Oct 2014

Peer-review completion

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

AR by Alexandra Tsimpidi on behalf of the Authors (31 Oct 2014) Author's response Manuscript

ED: Publish as is (23 Nov 2014) by Graham Mann

AR by Alexandra Tsimpidi on behalf of the Authors (24 Nov 2014)

Short summary

A computationally efficient module for the description of OA composition and evolution in the atmosphere has been developed. This module subdivides OA into several compounds based on their source of origin and volatility, allowing the quantification of POA vs. SOA as well as biogenic vs. anthropogenic contributions to OA concentrations. Such fundamental information can shed light on long-term changes in OA abundance, and hence project the effects of OA on future air quality and climate.