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https://github.com/juntyr/sosaa-10618aa

Pinned mirror of the SOSAA@10618aa model version
https://github.com/juntyr/sosaa-10618aa

aerosol chemistry model sosaa

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Pinned mirror of the SOSAA@10618aa model version

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# The SOSAA model, commit 10618aa   [![DOI]][doi-url] [![License]][gpl-3.0]

[DOI]: https://zenodo.org/badge/632784750.svg
[doi-url]: https://doi.org/10.5281/zenodo.7867026

[License]: https://img.shields.io/badge/License-GPL--3.0-blue.svg
[gpl-3.0]: https://www.gnu.org/licenses/gpl-3.0.html

The [SOSAA model](https://www.helsinki.fi/en/researchgroups/multi-scale-modelling/sosaa) is a chemistry transport model that has been actively developed in the Multi-Scale Modelling Group at the University of Helsinki since 2011 [^1] [^2]. SOSAA has been continuously improved and applied in various studies, including [^3] [^4] [^5].

Unfortunately, the SOSAA model is not yet publicly available. However, access to the complete SOSAA source code is provided upon request -- please contact Michael Boy ([email protected]), Putian Zhou ([email protected]), or Petri Clusius ([email protected]) for more information.

This repository is a public pin of [SOSAA@10618aa](https://version.helsinki.fi/putian.zhou/sosaa/-/tree/10618aa98c7470546308adf132afb0bc0735b4eb), the now-outdated version of SOSAA that was used in [Juniper Tyree](https://github.com/juntyr)'s Masters Thesis ["Prudent Response Surface Models"](https://github.com/juntyr/prudent-response-surface-models) for the M.Sc. Theoretical and Computational Methods programme at the University of Helsinki. Note that this repository only provides a record to ensure that all parts of thesis are published under open access. This version has since been superseded by later versions and that there is no promise of functionality. Please contact Petri Clusius ([email protected]) if you want to use SOSAA (especially a newer version) in your own research.

## Contributors

The SOSAA model is developed by the Multi-Scale Modelling Group at the University of Helsinki. At the time of [SOSAA@10618aa](https://version.helsinki.fi/putian.zhou/sosaa/-/tree/10618aa98c7470546308adf132afb0bc0735b4eb), the following people have contributed to the development of SOSAA (listed in alphabetical order):

- Michael Boy (team leader) [https://orcid.org/0000-0002-8107-4524]
- Dean Chen [https://orcid.org/0000-0003-4667-0221]
- Petri Clusius [https://orcid.org/0000-0003-3121-0775]
- Rosa Gierens [https://orcid.org/0000-0002-3879-3099]
- Sampo Smolander [https://orcid.org/0000-0003-4538-6384]
- Ditte Taipale [https://orcid.org/0000-0002-2023-2461]
- Juniper Tyree [https://orcid.org/0000-0002-7923-9609]
- Luxi Zhou [https://orcid.org/0000-0001-7364-741X]
- Putian Zhou [https://orcid.org/0000-0003-0803-7337]

## License

Licensed under the GPL-3.0 license ([LICENSE-GPL](LICENSE-GPL) or https://www.gnu.org/licenses/gpl-3.0.html).

## Citation

Please refer to the [CITATION.cff](CITATION.cff) file and refer to https://citation-file-format.github.io to extract the citation in a format of your choice.

[^1]: M. Boy *et al*. SOSA – a new model to simulate the concentrations of organic vapours and sulphuric acid inside the ABL – Part 1: Model description and initial evaluation. *Atmospheric Chemistry and Physics*. 2011;11 (1): 43–51. Available from: [doi:10.5194/acp-11-43-2011](https://doi.org/10.5194/acp-11-43-2011).

[^2]: L. Zhou *et al*. SOSAA – A new model to simulate the concentrations of organic vapours, sulphuric acid and aerosols inside the ABL – Part 2: Aerosol dynamics and one case study at a boreal forest site. *Boreal Environment Research*. 2014;19 (suppl. B): 237–256. Available from: http://hdl.handle.net/10138/228763 [Accessed 5th January 2023].

[^3]: P. Zhou *et al*. Boreal forest BVOC exchange: emissions versus in-canopy sinks. *Atmospheric Chemistry and Physics*. 2017;17(23): 14309–14332. Available from: [doi:10.5194/acp-17-14309-2017](https://doi.org/10.5194/acp-17-14309-2017).

[^4]: P. Zhou *et al*. Simulating ozone dry deposition at a boreal forest with a multi-layer canopy deposition model. *Atmospheric Chemistry and Physics*. 2017;17 (2): 1361–1379. Available from: [doi:10.5194/acp-17-1361-2017](https://doi.org/10.5194/acp-17-1361-2017).

[^5]: D. Chen *et al*. A modelling study of OH, NO3 and H2SO4 in 2007–2018 at SMEAR II, Finland: analysis of long-term trends. *Environ. Sci.: Atmos.* 2021;1: 449–472. Available from: [doi:10.1039/D1EA00020A](https://doi.org/10.1039/D1EA00020A).