Articles | Volume 18, issue 5
https://doi.org/10.5194/acp-18-3147-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-3147-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Mar 2018
Research article |
| 05 Mar 2018
| 05 Mar 2018
Ozone impacts of gas–aerosol uptake in global chemistry transport models
Scarlet Stadtler
Institut für Energie- und Klimaforschung, IEK-8, Forschungszentrum Jülich, Jülich, Germany
EMEP MSC-W, Norwegian Meteorological Institute, Oslo, Norway
Dept. Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
Sabine Schröder
Institut für Energie- und Klimaforschung, IEK-8, Forschungszentrum Jülich, Jülich, Germany
Domenico Taraborrelli
Institut für Energie- und Klimaforschung, IEK-8, Forschungszentrum Jülich, Jülich, Germany
Andreas Bott
Meteorological Institute University Bonn, Bonn, Germany
Martin Schultz
Institut für Energie- und Klimaforschung, IEK-8, Forschungszentrum Jülich, Jülich, Germany
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- Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale D. Schwede et al. 10.1016/j.envpol.2018.09.084
- Kinetics and impacting factors of HO<sub>2</sub> uptake onto submicron atmospheric aerosols during the 2019 Air QUAlity Study (AQUAS) in Yokohama, Japan J. Zhou et al. 10.5194/acp-21-12243-2021
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- The drivers and health risks of unexpected surface ozone enhancements over the Sichuan Basin, China, in 2020 Y. Sun et al. 10.5194/acp-21-18589-2021
- Worsening urban ozone pollution in China from 2013 to 2017 – Part 2: The effects of emission changes and implications for multi-pollutant control Y. Liu & T. Wang 10.5194/acp-20-6323-2020
- Simulation model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RNDv1.0 J. Gil et al. 10.5194/gmd-16-5251-2023
- The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0 M. Schultz et al. 10.5194/gmd-11-1695-2018
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- Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemistry-transport model using Cloud-J v7.3e W. van Caspel et al. 10.5194/gmd-16-7433-2023
- Relative and Absolute Sensitivity Analysis on Ozone Production in Tsukuba, a City in Japan Y. Sakamoto et al. 10.1021/acs.est.9b03542
- GenChem v1.0 – a chemical pre-processing and testing system for atmospheric modelling D. Simpson et al. 10.5194/gmd-13-6447-2020
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