Climate of the Past
Climate of the Past
CP
Articles | Volume 18, issue 10
Articles | Volume 18, issue 10
https://doi.org/10.5194/cp-18-2421-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-18-2421-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 10
Research article
 | Highlight paper
 | 
25 Oct 2022
Research article | Highlight paper |  | 25 Oct 2022

Dynamics of the Great Oxidation Event from a 3D photochemical–climate model

Adam Yassin Jaziri, Benjamin Charnay, Franck Selsis, Jérémy Leconte, and Franck Lefèvre

Data sets

Data associated with the Jaziri et al. 2022 manuscript Adam Yassin Jaziri, Benjamin Charnay, Franck Selsis, Jérémy Leconte, and Franck Lefèvre https://doi.org/10.5281/zenodo.7082122

Model code and software

Model associated with the Jaziri et al. 2022 manuscript Adam Yassin Jaziri, Benjamin Charnay, Franck Selsis, Jérémy Leconte, and Franck Lefèvre https://doi.org/10.5281/zenodo.707774

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Co-editor-in-chief
Causes for the Great Oxidation Event (GOE) has long been an outstanding question in Earth sciences. Yet, the exploration of this question has been limited to the 1D photochemical models. Here, the authors presented new insights to solve this question with a 3D photochemical-climate model. This model allows the investigation of influences of the atmospheric circulation on the GOE and the coupling between the climate and the dynamics of the oxidation. The results are highly interesting, and would be of wide interest in Earth science community.
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Short summary
In the context of understanding the 3D photochemical effect on the Earth's oxygenation that happened around 2.4 Ga, we developed a 3D photochemical–climate model to investigate the possible impact of atmospheric circulation and the coupling between the climate and the dynamics of oxidation. We show that the diurnal, seasonal and transport variations do not bring significant changes compared to 1D models. Nevertheless, we highlight a temperature dependence for atmospheric photochemical losses.
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