Articles | Volume 24, issue 18 
            
                
                    
            
            
            https://doi.org/10.5194/acp-24-10261-2024
                    © Author(s) 2024. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-10261-2024
                    © Author(s) 2024. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Cluster-dynamics-based parameterization for sulfuric acid–dimethylamine nucleation: comparison and selection through box and three-dimensional modeling
Jiewen Shen
                                            State Key Joint Laboratory of Environment Simulation and Pollution Control,  School of Environment, Tsinghua University, Beijing, 100084, China
                                        
                                    
                                            State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex,  Beijing, 100084, China
                                        
                                    
                                            State Key Joint Laboratory of Environment Simulation and Pollution Control,  School of Environment, Tsinghua University, Beijing, 100084, China
                                        
                                    
                                            State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex,  Beijing, 100084, China
                                        
                                    
                                            State Key Joint Laboratory of Environment Simulation and Pollution Control,  School of Environment, Tsinghua University, Beijing, 100084, China
                                        
                                    
                                            State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex,  Beijing, 100084, China
                                        
                                    
                                            Key Laboratory of Cluster Science, Ministry of Education of China, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China
                                        
                                    Yuyang Li
                                            State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex,  Beijing, 100084, China
                                        
                                    Runlong Cai
                                            Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP),  Department of Environmental Science and Engineering, Fudan University, Shanghai, 200438, China
                                        
                                    Da Gao
                                            State Key Joint Laboratory of Environment Simulation and Pollution Control,  School of Environment, Tsinghua University, Beijing, 100084, China
                                        
                                    
                                            State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex,  Beijing, 100084, China
                                        
                                    
                                            State Key Joint Laboratory of Environment Simulation and Pollution Control,  Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
                                        
                                    
                                            College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
                                        
                                    
                                            Key Laboratory of Marine Environment and Ecology, Ministry of Education,  Ocean University of China, Qingdao, 266100, China
                                        
                                    Manish Shrivastava
                                            Pacific Northwest National Laboratory, Richland, WA 99354, USA
                                        
                                    Jingkun Jiang
                                            State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex,  Beijing, 100084, China
                                        
                                    Xiuhui Zhang
                                            Key Laboratory of Cluster Science, Ministry of Education of China, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China
                                        
                                    
                                            State Key Joint Laboratory of Environment Simulation and Pollution Control,  Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
                                        
                                    
                                            College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
                                        
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                            Latest update: 30 Oct 2025
Short summary
                    We extensively compare various cluster-dynamics-based parameterizations for sulfuric acid–dimethylamine nucleation and identify a newly developed parameterization derived from Atmospheric Cluster Dynamic Code (ACDC) simulations as being the most reliable one. This study offers a valuable reference for developing parameterizations of other nucleation systems and is meaningful for the accurate quantification of the environmental and climate impacts of new particle formation.
                    We extensively compare various cluster-dynamics-based parameterizations for sulfuric...
                    
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