Articles | Volume 8, issue 6
https://doi.org/10.5194/gmd-8-1595-2015
© Author(s) 2015. 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-8-1595-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
01 Jun 2015
Model description paper |
| 01 Jun 2015
A size-composition resolved aerosol model for simulating the dynamics of externally mixed particles: SCRAM (v 1.0)
S. Zhu
CORRESPONDING AUTHOR
CEREA, joint laboratory Ecole des Ponts ParisTech - EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
K. N. Sartelet
CEREA, joint laboratory Ecole des Ponts ParisTech - EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
C. Seigneur
CEREA, joint laboratory Ecole des Ponts ParisTech - EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
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- To what extent is the description of streets important in estimating local air quality: a case study over Paris A. Squarcioni et al. https://doi.org/10.5194/acp-25-93-2025
- A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0 J. Curtis et al. https://doi.org/10.5194/gmd-10-4057-2017
- Toward Reduced Representation of Mixing State for Simulating Aerosol Effects on Climate N. Riemer & T. Bond https://doi.org/10.1175/BAMS-D-16-0028.1
- Aerosol sources in the western Mediterranean during summertime: a model-based approach M. Chrit et al. https://doi.org/10.5194/acp-18-9631-2018
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
- Recent Progress in Impacts of Mixing State on Optical Properties of Black Carbon Aerosol X. Wei et al. https://doi.org/10.1007/s40726-020-00158-0
- Characteristics of black carbon aerosol mixing state over an urban region deduced using single particle soot photometer (SP2) and differential mobility analyzer (DMA) B. Sarangi et al. https://doi.org/10.1016/j.apr.2019.12.006
- Multivariate quadrature for representing cloud condensation nuclei activity of aerosol populations L. Fierce & R. McGraw https://doi.org/10.1002/2016JD026335
- Laboratory mass spectrometry of intact atmospherically-relevant particles A. Hariharan & C. Johnson https://doi.org/10.1016/j.jaerosci.2024.106502
- Gas–particle partitioning of toluene oxidation products: an experimental and modeling study V. Lannuque et al. https://doi.org/10.5194/acp-23-15537-2023
- Impact of Dilution Ratio and Burning Conditions on the Number Size Distribution and Size-Dependent Mixing State of Primary Particles from Domestic Solid Fuel Burning S. Zheng et al. https://doi.org/10.1021/acs.estlett.2c00319
- Understanding Catalyst Aerosol Dynamics in the Floating Catalyst Chemical Vapor Deposition Synthesis of Carbon Nanotubes A. Sloan et al. https://doi.org/10.1016/j.jaerosci.2026.106893
- Development of an inorganic and organic aerosol model (CHIMERE 2017β v1.0): seasonal and spatial evaluation over Europe F. Couvidat et al. https://doi.org/10.5194/gmd-11-165-2018
- Operational chemical weather forecasting with the ECCC online Regional Air Quality Deterministic Prediction System version 023 (RAQDPS023) – Part 1: system description M. Moran et al. https://doi.org/10.5194/gmd-19-4137-2026
- Implications of Off-Peak Commercial Deliveries for Air Quality and Environmental Justice S. Torbatian et al. https://doi.org/10.1021/acs.est.5c07138
- Advanced modeling of gas chemistry and aerosol dynamics with SSH-aerosol v2.0 K. Sartelet et al. https://doi.org/10.5194/gmd-19-389-2026
- The state of the aerosol: Musings on mixing state N. Riemer & M. West https://doi.org/10.1080/02786826.2024.2346220
- Impact of mixing state on aerosol optical properties during severe wildfires over the Euro-Mediterranean region M. Majdi et al. https://doi.org/10.1016/j.atmosenv.2019.117042
- Comparison of discrete, discrete-sectional, modal and moment models for aerosol dynamics simulations H. Zhang et al. https://doi.org/10.1080/02786826.2020.1723787
- Simulation of particle diversity and mixing state over Greater Paris: a model–measurement inter-comparison S. Zhu et al. https://doi.org/10.1039/C5FD00175G
- 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
- SSH-Aerosol v1.1: A Modular Box Model to Simulate the Evolution of Primary and Secondary Aerosols K. Sartelet et al. https://doi.org/10.3390/atmos11050525
- Three‐dimensional modeling of the mixing state of particles over Greater Paris S. Zhu et al. https://doi.org/10.1002/2015JD024241
Saved (final revised paper)
Latest update: 09 Sep 2026
Short summary
This article presents the Size-Composition Resolved Aerosol Model (SCRAM) for simulating the dynamics of externally mixed atmospheric particles. The model is first validated by comparison with a reference solution and with results of simulations using internally mixed particles. Then, the importance of representing the mixing state when modelling atmospheric aerosol concentrations is investigated in a box model simulation using data representative of air pollution in Greater Paris.
This article presents the Size-Composition Resolved Aerosol Model (SCRAM) for simulating the...
