Articles | Volume 23, issue 18
https://doi.org/10.5194/acp-23-10713-2023
© Author(s) 2023. 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-23-10713-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Sep 2023
Research article |
| 27 Sep 2023
| 27 Sep 2023
Substantially positive contributions of new particle formation to cloud condensation nuclei under low supersaturation in China based on numerical model improvements
Chupeng Zhang
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266100, China
Shangfei Hai
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, 266100, China
CMA Earth System Modeling and Prediction Center, China Meteorological Administration, Beijing, 100081, China
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266100, China
School of Earth and Atmospheric Sciences, Georgia Institute of
Technology, Atlanta, GA 30332, USA
Shaoqing Zhang
Laoshan Laboratory, Qingdao, 266100, China
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, 266100, China
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao, 266100, China
Lifang Sheng
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, 266100, 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
Shuxiao Wang
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
Jingkun Jiang
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
Xin Huang
School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Xiaojing Shen
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Junying Sun
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Aura Lupascu
Institute for Advanced Sustainability Studies, 14467 Potsdam, Germany
now at: European Centre for Medium-Range Weather Forecasts, 53111 Bonn, Germany
Manish Shrivastava
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
Jerome D. Fast
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
Wenxuan Cheng
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266100, China
Xiuwen Guo
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266100, China
Ming Chu
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266100, China
Nan Ma
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 510000, China
Juan Hong
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 510000, China
Qiaoqiao Wang
Institute for Environmental and Climate Research, Jinan University, Guangzhou, 510000, China
Xiaohong Yao
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266100, China
Huiwang Gao
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
Laoshan Laboratory, Qingdao, 266100, China
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Cited
Latest update: 13 Dec 2024
Short summary
New particle formation is an important source of atmospheric particles, exerting critical influences on global climate. Numerical models are vital tools to understanding atmospheric particle evolution, which, however, suffer from large biases in simulating particle numbers. Here we improve the model chemical processes governing particle sizes and compositions. The improved model reveals substantial contributions of newly formed particles to climate through effects on cloud condensation nuclei.
New particle formation is an important source of atmospheric particles, exerting critical...
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