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.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-3153-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Max Planck Institute for Chemistry, Mainz, Germany
V. A. Karydis
Max Planck Institute for Chemistry, Mainz, Germany
A. Pozzer
Max Planck Institute for Chemistry, Mainz, Germany
S. N. Pandis
Department of Chemical Engineering, University of Patras, Patras, Greece
Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
J. Lelieveld
Max Planck Institute for Chemistry, Mainz, Germany
Energy, Environment and Water Research Center, Cyprus Institute, Nicosia, Cyprus
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- Simulation of organics in the atmosphere: evaluation of EMACv2.54 with the Mainz Organic Mechanism (MOM) coupled to the ORACLE (v1.0) submodel A. Pozzer et al. 10.5194/gmd-15-2673-2022
- Development of a multiphase chemical mechanism to improve secondary organic aerosol formation in CAABA/MECCA (version 4.7.0) F. Wieser et al. 10.5194/gmd-17-4311-2024
- Measurement of Formation Rates of Secondary Aerosol in the Ambient Urban Atmosphere Using a Dual Smog Chamber System S. Jorga et al. 10.1021/acs.est.9b03479
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- Global health burden of ambient PM2.5 and the contribution of anthropogenic black carbon and organic aerosols S. Chowdhury et al. 10.1016/j.envint.2021.107020
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Latest update: 13 Dec 2024
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.
A computationally efficient module for the description of OA composition and evolution in the...
