Nature Communications (May 2023)
Unified theoretical framework for black carbon mixing state allows greater accuracy of climate effect estimation
- Jiandong Wang,
- Jiaping Wang,
- Runlong Cai,
- Chao Liu,
- Jingkun Jiang,
- Wei Nie,
- Jinbo Wang,
- Nobuhiro Moteki,
- Rahul A. Zaveri,
- Xin Huang,
- Nan Ma,
- Ganzhen Chen,
- Zilin Wang,
- Yuzhi Jin,
- Jing Cai,
- Yuxuan Zhang,
- Xuguang Chi,
- Bruna A. Holanda,
- Jia Xing,
- Tengyu Liu,
- Ximeng Qi,
- Qiaoqiao Wang,
- Christopher Pöhlker,
- Hang Su,
- Yafang Cheng,
- Shuxiao Wang,
- Jiming Hao,
- Meinrat O. Andreae,
- Aijun Ding
Affiliations
- Jiandong Wang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology
- Jiaping Wang
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Runlong Cai
- Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki
- Chao Liu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology
- Jingkun Jiang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University
- Wei Nie
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Jinbo Wang
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Nobuhiro Moteki
- Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo
- Rahul A. Zaveri
- Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory
- Xin Huang
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Nan Ma
- Institute for Environmental and Climate Research, Jinan University
- Ganzhen Chen
- China Meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science and Technology
- Zilin Wang
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Yuzhi Jin
- China Meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science and Technology
- Jing Cai
- Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki
- Yuxuan Zhang
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Xuguang Chi
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Bruna A. Holanda
- Max Planck Institute for Chemistry
- Jia Xing
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University
- Tengyu Liu
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Ximeng Qi
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- Qiaoqiao Wang
- Institute for Environmental and Climate Research, Jinan University
- Christopher Pöhlker
- Max Planck Institute for Chemistry
- Hang Su
- Max Planck Institute for Chemistry
- Yafang Cheng
- Max Planck Institute for Chemistry
- Shuxiao Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University
- Jiming Hao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University
- Meinrat O. Andreae
- Max Planck Institute for Chemistry
- Aijun Ding
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University
- DOI
- https://doi.org/10.1038/s41467-023-38330-x
- Journal volume & issue
-
Vol. 14,
no. 1
pp. 1 – 8
Abstract
Abstract Black carbon (BC) plays an important role in the climate system because of its strong warming effect, yet the magnitude of this effect is highly uncertain owing to the complex mixing state of aerosols. Here we build a unified theoretical framework to describe BC’s mixing states, linking dynamic processes to BC coating thickness distribution, and show its self-similarity for sites in diverse environments. The size distribution of BC-containing particles is found to follow a universal law and is independent of BC core size. A new mixing state module is established based on this finding and successfully applied in global and regional models, which increases the accuracy of aerosol climate effect estimations. Our theoretical framework links observations with model simulations in both mixing state description and light absorption quantification.