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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51 citations as recorded by crossref.
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- Implementation of the ISORROPIA-lite aerosol thermodynamics model into the EMAC chemistry climate model (based on MESSy v2.55): implications for aerosol composition and acidity A. Milousis et al. 10.5194/gmd-17-1111-2024
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- Global distribution of particle phase state in atmospheric secondary organic aerosols M. Shiraiwa et al. 10.1038/ncomms15002
- MATRIX-VBS (v1.0): implementing an evolving organic aerosol volatility in an aerosol microphysics model C. Gao et al. 10.5194/gmd-10-751-2017
- Secondary Organic Aerosol Formation Regulates Cloud Condensation Nuclei in the Global Remote Troposphere M. Liu & H. Matsui 10.1029/2022GL100543
- Global Distribution of the Phase State and Mixing Times within Secondary Organic Aerosol Particles in the Troposphere Based on Room-Temperature Viscosity Measurements A. Maclean et al. 10.1021/acsearthspacechem.1c00296
- Influence of aromatics on tropospheric gas-phase composition D. Taraborrelli et al. 10.5194/acp-21-2615-2021
- Black carbon aerosol reductions during COVID-19 confinement quantified by aircraft measurements over Europe O. Krüger et al. 10.5194/acp-22-8683-2022
- 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
- Diurnal and Seasonal Variations in the Phase State of Secondary Organic Aerosol Material over the Contiguous US Simulated in CMAQ Y. Li et al. 10.1021/acsearthspacechem.1c00094
- Two new submodels for the Modular Earth Submodel System (MESSy): New Aerosol Nucleation (NAN) and small ions (IONS) version 1.0 S. Ehrhart et al. 10.5194/gmd-11-4987-2018
- Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass‐Conserving Dimensionality Reduction Method P. Sturm et al. 10.1029/2022MS003235
- 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
- Influence of local production and vertical transport on the organic aerosol budget over Paris R. Janssen et al. 10.1002/2016JD026402
- Review on recent progress in observations, source identifications and countermeasures of PM2.5 C. Liang et al. 10.1016/j.envint.2015.10.016
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- Evaluation of Biogenic Organic Aerosols in the Amazon Rainforest Using WRF‐Chem With MOSAIC J. Mao et al. 10.1029/2021JD034913
- Weaker cooling by aerosols due to dust–pollution interactions K. Klingmüller et al. 10.5194/acp-20-15285-2020
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- Molecular corridors and parameterizations of volatility in the chemical evolution of organic aerosols Y. Li et al. 10.5194/acp-16-3327-2016
- How alkaline compounds control atmospheric aerosol particle acidity V. Karydis et al. 10.5194/acp-21-14983-2021
- Development of a global aerosol model using a two‐dimensional sectional method: 1. Model design H. Matsui 10.1002/2017MS000936
- ORACLE 2-D (v2.0): an efficient module to compute the volatility and oxygen content of organic aerosol with a global chemistry–climate model A. Tsimpidi et al. 10.5194/gmd-11-3369-2018
- Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1) S. Rémy et al. 10.5194/gmd-12-4627-2019
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- A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with MADE3 in EMAC C. Beer et al. 10.5194/acp-22-15887-2022
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- Predictions of the glass transition temperature and viscosity of organic aerosols from volatility distributions Y. Li et al. 10.5194/acp-20-8103-2020
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- Global and national assessment of the incidence of asthma in children and adolescents from major sources of ambient NO2 S. Chowdhury et al. 10.1088/1748-9326/abe909
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- Impacts of convection, chemistry, and forest clearing on biogenic volatile organic compounds over the Amazon N. Tripathi et al. 10.1038/s41467-025-59953-2
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- Direct radiative effect of dust–pollution interactions K. Klingmüller et al. 10.5194/acp-19-7397-2019
- The impact of ammonia on particle formation in the Asian Tropopause Aerosol Layer C. Xenofontos et al. 10.1038/s41612-024-00758-3
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Latest update: 30 May 2025
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...
