Articles | Volume 22, issue 14
https://doi.org/10.5194/acp-22-9583-2022
https://doi.org/10.5194/acp-22-9583-2022
Research article
 | 
27 Jul 2022
Research article |  | 27 Jul 2022

Simulating the radiative forcing of oceanic dimethylsulfide (DMS) in Asia based on machine learning estimates

Junri Zhao, Weichun Ma, Kelsey R. Bilsback, Jeffrey R. Pierce, Shengqian Zhou, Ying Chen, Guipeng Yang, and Yan Zhang

Related authors

Source-resolved atmospheric metal emissions, concentrations, and deposition fluxes into the East Asian seas
Shenglan Jiang, Yan Zhang, Guangyuan Yu, Zimin Han, Junri Zhao, Tianle Zhang, and Mei Zheng
Atmos. Chem. Phys., 24, 8363–8381, https://doi.org/10.5194/acp-24-8363-2024,https://doi.org/10.5194/acp-24-8363-2024, 2024
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Enhanced atmospheric oxidation and particle reductions driving changes to nitrate formation mechanisms across coastal and inland regions of north China
Zhenze Liu, Jianhua Qi, Yuanzhe Ni, Likun Xue, and Xiaohuan Liu
Atmos. Chem. Phys., 25, 8719–8742, https://doi.org/10.5194/acp-25-8719-2025,https://doi.org/10.5194/acp-25-8719-2025, 2025
Short summary
Atmospheric fate of organosulfates through gas-phase and aqueous-phase reactions with hydroxyl radicals: implications for inorganic sulfate formation
Narcisse Tsona Tchinda, Xiaofan Lv, Stanley Numbonui Tasheh, Julius Numbonui Ghogomu, and Lin Du
Atmos. Chem. Phys., 25, 8575–8590, https://doi.org/10.5194/acp-25-8575-2025,https://doi.org/10.5194/acp-25-8575-2025, 2025
Short summary
Opinion: The role of AerChemMIP in advancing climate and air quality research
Paul T. Griffiths, Laura J. Wilcox, Robert J. Allen, Vaishali Naik, Fiona M. O'Connor, Michael Prather, Alex Archibald, Florence Brown, Makoto Deushi, William Collins, Stephanie Fiedler, Naga Oshima, Lee T. Murray, Bjørn H. Samset, Chris Smith, Steven Turnock, Duncan Watson-Parris, and Paul J. Young
Atmos. Chem. Phys., 25, 8289–8328, https://doi.org/10.5194/acp-25-8289-2025,https://doi.org/10.5194/acp-25-8289-2025, 2025
Short summary
Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects
Sijia Lou, Manish Shrivastava, Alexandre Albinet, Sophie Tomaz, Deepchandra Srivastava, Olivier Favez, Huizhong Shen, and Aijun Ding
Atmos. Chem. Phys., 25, 8163–8183, https://doi.org/10.5194/acp-25-8163-2025,https://doi.org/10.5194/acp-25-8163-2025, 2025
Short summary
Source-explicit estimation of brown carbon in the polluted atmosphere over the North China Plain: implications for distribution, absorption, and the direct radiative effect
Jiamao Zhou, Jiarui Wu, Xiaoli Su, Ruonan Wang, Imad EI Haddad, Xia Li, Qian Jiang, Ting Zhang, Wenting Dai, Junji Cao, Andre S. H. Prevot, Xuexi Tie, and Guohui Li
Atmos. Chem. Phys., 25, 7563–7580, https://doi.org/10.5194/acp-25-7563-2025,https://doi.org/10.5194/acp-25-7563-2025, 2025
Short summary

Cited articles

Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation 3. Sectional representation, J. Geophys. Res.-Atmos., 107, AAC 1-1–AAC 1-6, https://doi.org/10.1029/2001JD000483, 2002. 
Adams, P. J. and Seinfeld, J. H.: Predicting global aerosol size distributions in general circulation models, J. Geophys. Res.-Atmos., 107, AAC 4-1–AAC 4-23, https://doi.org/10.1029/2001JD001010, 2002. 
Alexander, B., Park, R. J., Jacob, D. J., Li, Q. B., Yantosca, R. M., Savarino, J., Lee, C. C. W., and Thiemens, M. H.: Sulfate formation in sea-salt aerosols: Constraints from oxygen isotopes, J. Geophys. Res.-Atmos., 110, D10307, https://doi.org/10.1029/2004JD005659, 2005. 
Andreae, M. O. and Rosenfeld, D.: Aerosol–cloud–precipitation interactions. Part 1. The nature and sources of cloud-active aerosols, Earth-Sci. Rev., 89, 13–41, https://doi.org/10.1016/j.earscirev.2008.03.001, 2008. 
Download
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.
Share
Altmetrics
Final-revised paper
Preprint