Articles | Volume 22, issue 14 
            
                
                    
                    
                        
            
            
            https://doi.org/10.5194/acp-22-9265-2022
                    © Author(s) 2022. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Special issue:
                        
                    https://doi.org/10.5194/acp-22-9265-2022
                    © Author(s) 2022. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Quantifying the effects of mixing state on aerosol optical properties
                                            Department of Atmospheric Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
                                        
                                    Jeffrey H. Curtis
                                            Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
                                        
                                    Joseph Ching
                                            Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Ibaraki, 305-0052, Japan
                                        
                                    
                                            National Institute of Polar Research, 10-3 Midori-cho, Tachikawa, Tokyo, 190-8518, Japan
                                        
                                    
                                            Research Institute for Humanity and Nature, 457-4 Motoyama, Kamigamo, Kita-ku, Kyoto, 603-8047, Japan
                                        
                                    
                                            now at: Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori,  680-0001, Japan
                                        
                                    Zhonghua Zheng
                                            Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder, CO 80307, USA
                                        
                                    
                                            Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80307, USA
                                        
                                    
                                            Advanced Study Program, National Center for Atmospheric Research, Boulder, CO 80307, USA
                                        
                                    
                                            Department of Atmospheric Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
                                        
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- Observation of Wildfire Smoke Particles That Accumulated Secondary Aerosol during Long-Range Transport J. Lee et al. 10.1021/acsearthspacechem.5c00172
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- Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0) J. Curtis et al. 10.5194/gmd-17-8399-2024
- Pollution affects Arabian and Saharan dust optical properties in the eastern Mediterranean M. Teri et al. 10.5194/acp-25-6633-2025
- Experimental phase diagram and its temporal evolution for submicron 2-methylglutaric acid and ammonium sulfate aerosol particles Q. Huang et al. 10.1039/D3CP04411D
- Drivers of Cloud Condensation Nuclei in the Eastern North Atlantic as Observed at the ARM Site V. Ghate et al. 10.1029/2023JD038636
- The evolution of aerosol mixing state derived from a field campaign in Beijing: implications for particle aging timescales in urban atmospheres J. Liu et al. 10.5194/acp-25-5075-2025
- Calculation of Ice Cloud Bulk Scattering Properties Based on Deep Reinforcement Learning K. Chen et al. 10.1109/LGRS.2024.3453654
- Fog/cloud processing of atmospheric aerosols from a single particle perspective: A review of field observations G. Zhang et al. 10.1016/j.atmosenv.2024.120536
- MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models P. Kumar et al. 10.1038/s41612-024-00652-y
- Modeling simulation of aerosol light absorption over the Beijing–Tianjin–Hebei region: the impact of mixing state and aging processes H. Du et al. 10.5194/acp-25-5665-2025
- Contrasting nature of aerosols over South Asian cities and its surrounding environment A. Pandey et al. 10.1016/j.envpol.2024.124622
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- Microfluidic platform for coupled studies of freezing behavior and final effloresced particle morphology in Snomax ® containing aqueous droplets M. House & C. Dutcher 10.1080/02786826.2023.2233574
- Integrating Simulations and Observations: A Foundation Model for Estimating the Aerosol Mixing State Index F. Jiang et al. 10.1021/acsestair.4c00329
- Multi-platform observations and constraints reveal overlooked urban sources of black carbon in Xuzhou and Dhaka P. Tiwari et al. 10.1038/s43247-025-02012-x
- Quantifying structural errors in cloud condensation nuclei activity from reduced representation of aerosol size distributions L. Fierce et al. 10.1016/j.jaerosci.2024.106388
- Diverse sources and aging change the mixing state and ice nucleation properties of aerosol particles over the western Pacific and Southern Ocean J. Xue et al. 10.5194/acp-24-7731-2024
- Molecular Imaging Reveals Two Distinct Mixing States of PM2.5 Particles Sampled in a Typical Beijing Winter Pollution Case Y. Li et al. 10.1021/acs.est.2c08694
- Quantifying evolution of soot mixing state from transboundary transport of biomass burning emissions X. Chen et al. 10.1016/j.isci.2023.108125
- Quantifying the effects of mixing state on aerosol optical properties Y. Yao et al. 10.5194/acp-22-9265-2022
- Overestimation of black carbon light absorption due to mixing state heterogeneity L. Zeng et al. 10.1038/s41612-023-00535-8
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Latest update: 31 Oct 2025
Short summary
                    Investigating the impacts of aerosol mixing state on aerosol optical properties has a long history from both the modeling and experimental perspective. In this study, we used particle-resolved simulations as a benchmark to determine the error in optical properties when using simplified aerosol representations. We found that errors in single scattering albedo due to the internal mixture assumptions can have substantial effects on calculating aerosol direct radiative forcing.
                    Investigating the impacts of aerosol mixing state on aerosol optical properties has a long...
                    
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