Articles | Volume 10, issue 11
https://doi.org/10.5194/gmd-10-4057-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-10-4057-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0
Jeffrey H. Curtis
Department of Atmospheric Sciences, University of Illinois at
Urbana-Champaign, 1301 W. Green St., Urbana, IL 61801, USA
Department of Atmospheric Sciences, University of Illinois at
Urbana-Champaign, 1301 W. Green St., Urbana, IL 61801, USA
Matthew West
Department of Mechanical Science and Engineering, University of
Illinois at Urbana-Champaign, 1206 W. Green St., Urbana, IL 61801, USA
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Cited
18 citations as recorded by crossref.
- Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts W. Li et al. https://doi.org/10.1038/s41612-024-00610-8
- Reduced light absorption of black carbon (BC) and its influence on BC-boundary-layer interactions during “APEC Blue” M. Gao et al. https://doi.org/10.5194/acp-21-11405-2021
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
- An idealized sensitivity study of fine particles' impact on the urban vertical temperature structure H. Wu et al. https://doi.org/10.1016/j.uclim.2023.101492
- PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework Z. D’Aquino et al. https://doi.org/10.1016/j.softx.2023.101613
- An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models G. Chen et al. https://doi.org/10.1029/2022MS003501
- Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles J. Ching et al. https://doi.org/10.3390/atmos9010017
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
- Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables M. Kajino et al. https://doi.org/10.5194/gmd-14-2235-2021
- Role of liquid-liquid phase separation-induced surface tension changes in cloud droplet activation X. Xu et al. https://doi.org/10.1080/02786826.2026.2631789
- Cleo: the numerical methods of a new superdroplet model including a droplet breakup algorithm (v0.52.0) C. Bayley et al. https://doi.org/10.5194/gmd-19-6121-2026
- NHM-Chem, the Japan Meteorological Agency's Regional Meteorology – Chemistry Model: Model Evaluations toward the Consistent Predictions of the Chemical, Physical, and Optical Properties of Aerosols M. KAJINO et al. https://doi.org/10.2151/jmsj.2019-020
- Exploring the aerosol activation properties in coastal shallow convection using cloud- and particle-resolving models G. Yu et al. https://doi.org/10.5194/acp-25-7527-2025
- Aerosol mixing state revealed by transmission electron microscopy pertaining to cloud formation and human airway deposition J. Ching et al. https://doi.org/10.1038/s41612-019-0081-9
- Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0) J. Curtis et al. https://doi.org/10.5194/gmd-17-8399-2024
- The impact of aerosol mixing state on immersion freezing: insights from classical nucleation theory and particle-resolved simulations W. Tang et al. https://doi.org/10.5194/acp-26-9221-2026
- Idealized particle-resolved large-eddy simulations to evaluate the impact of emissions spatial heterogeneity on CCN activity S. Frederick et al. https://doi.org/10.5194/acp-26-4863-2026
- Modeling simulation of aerosol light absorption over the Beijing–Tianjin–Hebei region: the impact of mixing state and aging processes H. Du et al. https://doi.org/10.5194/acp-25-5665-2025
18 citations as recorded by crossref.
- Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts W. Li et al. https://doi.org/10.1038/s41612-024-00610-8
- Reduced light absorption of black carbon (BC) and its influence on BC-boundary-layer interactions during “APEC Blue” M. Gao et al. https://doi.org/10.5194/acp-21-11405-2021
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
- An idealized sensitivity study of fine particles' impact on the urban vertical temperature structure H. Wu et al. https://doi.org/10.1016/j.uclim.2023.101492
- PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework Z. D’Aquino et al. https://doi.org/10.1016/j.softx.2023.101613
- An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models G. Chen et al. https://doi.org/10.1029/2022MS003501
- Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles J. Ching et al. https://doi.org/10.3390/atmos9010017
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
- Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables M. Kajino et al. https://doi.org/10.5194/gmd-14-2235-2021
- Role of liquid-liquid phase separation-induced surface tension changes in cloud droplet activation X. Xu et al. https://doi.org/10.1080/02786826.2026.2631789
- Cleo: the numerical methods of a new superdroplet model including a droplet breakup algorithm (v0.52.0) C. Bayley et al. https://doi.org/10.5194/gmd-19-6121-2026
- NHM-Chem, the Japan Meteorological Agency's Regional Meteorology – Chemistry Model: Model Evaluations toward the Consistent Predictions of the Chemical, Physical, and Optical Properties of Aerosols M. KAJINO et al. https://doi.org/10.2151/jmsj.2019-020
- Exploring the aerosol activation properties in coastal shallow convection using cloud- and particle-resolving models G. Yu et al. https://doi.org/10.5194/acp-25-7527-2025
- Aerosol mixing state revealed by transmission electron microscopy pertaining to cloud formation and human airway deposition J. Ching et al. https://doi.org/10.1038/s41612-019-0081-9
- Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0) J. Curtis et al. https://doi.org/10.5194/gmd-17-8399-2024
- The impact of aerosol mixing state on immersion freezing: insights from classical nucleation theory and particle-resolved simulations W. Tang et al. https://doi.org/10.5194/acp-26-9221-2026
- Idealized particle-resolved large-eddy simulations to evaluate the impact of emissions spatial heterogeneity on CCN activity S. Frederick et al. https://doi.org/10.5194/acp-26-4863-2026
- Modeling simulation of aerosol light absorption over the Beijing–Tianjin–Hebei region: the impact of mixing state and aging processes H. Du et al. https://doi.org/10.5194/acp-25-5665-2025
Saved (final revised paper)
Latest update: 29 Jul 2026
Short summary
Traditional aerosol representations rely on simplifying assumptions about the aerosol composition in order to reduce computational cost. This introduces errors in estimates of aerosol impacts on climate. In contrast, the WRF-PartMC-MOSAIC-SCM model, presented here, uses a particle-resolved aerosol representation. It is made feasible by the development of efficient numerical methods, and allows for the capture of complex aerosol mixing states with altitude.
Traditional aerosol representations rely on simplifying assumptions about the aerosol...