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Global variability in atmospheric new particle formation mechanisms.
Zhao, Bin; Donahue, Neil M; Zhang, Kai; Mao, Lizhuo; Shrivastava, Manish; Ma, Po-Lun; Shen, Jiewen; Wang, Shuxiao; Sun, Jian; Gordon, Hamish; Tang, Shuaiqi; Fast, Jerome; Wang, Mingyi; Gao, Yang; Yan, Chao; Singh, Balwinder; Li, Zeqi; Huang, Lyuyin; Lou, Sijia; Lin, Guangxing; Wang, Hailong; Jiang, Jingkun; Ding, Aijun; Nie, Wei; Qi, Ximeng; Chi, Xuguang; Wang, Lin.
Afiliação
  • Zhao B; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China. bzhao@mail.tsinghua.edu.cn.
  • Donahue NM; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, China. bzhao@mail.tsinghua.edu.cn.
  • Zhang K; Pacific Northwest National Laboratory, Richland, WA, USA. bzhao@mail.tsinghua.edu.cn.
  • Mao L; Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Shrivastava M; Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Ma PL; Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Shen J; Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Wang S; Pacific Northwest National Laboratory, Richland, WA, USA.
  • Sun J; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
  • Gordon H; Pacific Northwest National Laboratory, Richland, WA, USA.
  • Tang S; Pacific Northwest National Laboratory, Richland, WA, USA.
  • Fast J; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
  • Wang M; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
  • Gao Y; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, China.
  • Yan C; National Center for Atmospheric Research, Boulder, CO, USA.
  • Singh B; Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Li Z; Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Huang L; Pacific Northwest National Laboratory, Richland, WA, USA.
  • Lou S; Pacific Northwest National Laboratory, Richland, WA, USA.
  • Lin G; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
  • Wang H; Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao, China.
  • Jiang J; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China.
  • Ding A; Pacific Northwest National Laboratory, Richland, WA, USA.
  • Nie W; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
  • Qi X; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
  • Chi X; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China.
  • Wang L; Pacific Northwest National Laboratory, Richland, WA, USA.
Nature ; 631(8019): 98-105, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38867037
ABSTRACT
A key challenge in aerosol pollution studies and climate change assessment is to understand how atmospheric aerosol particles are initially formed1,2. Although new particle formation (NPF) mechanisms have been described at specific sites3-6, in most regions, such mechanisms remain uncertain to a large extent because of the limited ability of atmospheric models to simulate critical NPF processes1,7. Here we synthesize molecular-level experiments to develop comprehensive representations of 11 NPF mechanisms and the complex chemical transformation of precursor gases in a fully coupled global climate model. Combined simulations and observations show that the dominant NPF mechanisms are distinct worldwide and vary with region and altitude. Previously neglected or underrepresented mechanisms involving organics, amines, iodine oxoacids and HNO3 probably dominate NPF in most regions with high concentrations of aerosols or large aerosol radiative forcing; such regions include oceanic and human-polluted continental boundary layers, as well as the upper troposphere over rainforests and Asian monsoon regions. These underrepresented mechanisms also play notable roles in other areas, such as the upper troposphere of the Pacific and Atlantic oceans. Accordingly, NPF accounts for different fractions (10-80%) of the nuclei on which cloud forms at 0.5% supersaturation over various regions in the lower troposphere. The comprehensive simulation of global NPF mechanisms can help improve estimation and source attribution of the climate effects of aerosols.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nature Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nature Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China