Articles | Volume 22, issue 14
https://doi.org/10.5194/acp-22-9583-2022
© Author(s) 2022. 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-22-9583-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Simulating the radiative forcing of oceanic dimethylsulfide (DMS) in Asia based on machine learning estimates
Junri Zhao
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Shanghai Institute of Eco-Chongming (SIEC), Shanghai 200062, China
Weichun Ma
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Institute of Digitalized Sustainable Transformation, Big Data Institute, Fudan University, Shanghai 200433, China
Kelsey R. Bilsback
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States of America
PSE Healthy Energy, Oakland, CA, United States of America
Jeffrey R. Pierce
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States of America
Shengqian Zhou
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Shanghai Institute of Eco-Chongming (SIEC), Shanghai 200062, China
Ying Chen
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Shanghai Institute of Eco-Chongming (SIEC), Shanghai 200062, China
Guipeng Yang
Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China
Yan Zhang
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
Shanghai Institute of Eco-Chongming (SIEC), Shanghai 200062, China
Institute of Digitalized Sustainable Transformation, Big Data Institute, Fudan University, Shanghai 200433, China
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Cited
9 citations as recorded by crossref.
- A 20-year (1998–2017) global sea surface dimethyl sulfide gridded dataset with daily resolution S. Zhou et al. https://doi.org/10.5194/essd-16-4267-2024
- Prediction of Dimethylsulfide in Large Rivers Using Explainable Machine Learning and Online Monitoring W. Yang et al. https://doi.org/10.1021/acsestwater.5c00203
- Marine Sulfur Oxidation Amplifies Gaseous Organosulfate Formation in a Coastal Urban Atmosphere C. Yang et al. https://doi.org/10.1021/acs.est.6c08641
- The sulfate assimilation and reduction of marine microalgae and the regulation of illumination W. Dai et al. https://doi.org/10.1016/j.marenvres.2023.106156
- Data-driven modeling of environmental factors influencing Arctic methanesulfonic acid aerosol concentrations J. Pernov et al. https://doi.org/10.5194/acp-25-6497-2025
- Changes in global DMS production driven by increased CO2 levels and its impact on radiative forcing J. Zhao et al. https://doi.org/10.1038/s41612-024-00563-y
- The biogenic sulfur cycle in the coupled ocean–sea ice–atmosphere system S. Ishino et al. https://doi.org/10.1525/elementa.2025.00067
- Improving Estimates of Dynamic Global Marine DMS and Implications for Aerosol Radiative Effect J. Zhao et al. https://doi.org/10.1029/2023JD039314
- Simulating the Fate of Dimethyl Sulfide (DMS) in the Atmosphere: A Review of Emission and Chemical Parameterizations E. Pino-Cortés et al. https://doi.org/10.3390/atmos16030350
9 citations as recorded by crossref.
- A 20-year (1998–2017) global sea surface dimethyl sulfide gridded dataset with daily resolution S. Zhou et al. https://doi.org/10.5194/essd-16-4267-2024
- Prediction of Dimethylsulfide in Large Rivers Using Explainable Machine Learning and Online Monitoring W. Yang et al. https://doi.org/10.1021/acsestwater.5c00203
- Marine Sulfur Oxidation Amplifies Gaseous Organosulfate Formation in a Coastal Urban Atmosphere C. Yang et al. https://doi.org/10.1021/acs.est.6c08641
- The sulfate assimilation and reduction of marine microalgae and the regulation of illumination W. Dai et al. https://doi.org/10.1016/j.marenvres.2023.106156
- Data-driven modeling of environmental factors influencing Arctic methanesulfonic acid aerosol concentrations J. Pernov et al. https://doi.org/10.5194/acp-25-6497-2025
- Changes in global DMS production driven by increased CO2 levels and its impact on radiative forcing J. Zhao et al. https://doi.org/10.1038/s41612-024-00563-y
- The biogenic sulfur cycle in the coupled ocean–sea ice–atmosphere system S. Ishino et al. https://doi.org/10.1525/elementa.2025.00067
- Improving Estimates of Dynamic Global Marine DMS and Implications for Aerosol Radiative Effect J. Zhao et al. https://doi.org/10.1029/2023JD039314
- Simulating the Fate of Dimethyl Sulfide (DMS) in the Atmosphere: A Review of Emission and Chemical Parameterizations E. Pino-Cortés et al. https://doi.org/10.3390/atmos16030350
Saved (final revised paper)
Latest update: 26 Aug 2026
Short summary
Marine dimethylsulfide (DMS) emissions play important roles in atmospheric sulfur cycle and climate effects. In this study, DMS emissions were estimated by using the machine learning method and drove the global 3D chemical transport model to simulate their climate effects. To our knowledge, this is the first study in the Asian region that quantifies the combined impacts of DMS on sulfate, particle number concentration, and radiative forcings.
Marine dimethylsulfide (DMS) emissions play important roles in atmospheric sulfur cycle and...
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