Your browser doesn't support javascript.
loading
Unified theoretical framework for black carbon mixing state allows greater accuracy of climate effect estimation.
Wang, Jiandong; Wang, Jiaping; Cai, Runlong; Liu, Chao; Jiang, Jingkun; Nie, Wei; Wang, Jinbo; Moteki, Nobuhiro; Zaveri, Rahul A; Huang, Xin; Ma, Nan; Chen, Ganzhen; Wang, Zilin; Jin, Yuzhi; Cai, Jing; Zhang, Yuxuan; Chi, Xuguang; Holanda, Bruna A; Xing, Jia; Liu, Tengyu; Qi, Ximeng; Wang, Qiaoqiao; Pöhlker, Christopher; Su, Hang; Cheng, Yafang; Wang, Shuxiao; Hao, Jiming; Andreae, Meinrat O; Ding, Aijun.
Affiliation
  • Wang J; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, 210044, Nanjing, China. jiandong.wang@nuist.edu.cn.
  • Wang J; China Meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science and Technology, 210044, Nanjing, China. jiandong.wang@nuist.edu.cn.
  • Cai R; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China. wangjp@nju.edu.cn.
  • Liu C; National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, 210023, Nanjing, China. wangjp@nju.edu.cn.
  • Jiang J; Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, 00014, Helsinki, Finland.
  • Nie W; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, 210044, Nanjing, China.
  • Wang J; China Meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science and Technology, 210044, Nanjing, China.
  • Moteki N; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084, Beijing, China.
  • Zaveri RA; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China.
  • Huang X; National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, 210023, Nanjing, China.
  • Ma N; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China.
  • Chen G; Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033, Japan.
  • Wang Z; Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
  • Jin Y; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China.
  • Cai J; Institute for Environmental and Climate Research, Jinan University, 511443, Guangzhou, China.
  • Zhang Y; China Meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science and Technology, 210044, Nanjing, China.
  • Chi X; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China.
  • Holanda BA; China Meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science and Technology, 210044, Nanjing, China.
  • Xing J; Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, 00014, Helsinki, Finland.
  • Liu T; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China.
  • Qi X; National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, 210023, Nanjing, China.
  • Wang Q; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China.
  • Pöhlker C; National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, 210023, Nanjing, China.
  • Su H; Max Planck Institute for Chemistry, 55128, Mainz, Germany.
  • Cheng Y; Hessian Agency for Nature Conservation, Environment and Geology, 65203, Wiesbaden, Germany.
  • Wang S; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084, Beijing, China.
  • Hao J; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China.
  • Andreae MO; National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, 210023, Nanjing, China.
  • Ding A; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, 210023, Nanjing, China.
Nat Commun ; 14(1): 2703, 2023 May 10.
Article in En | MEDLINE | ID: mdl-37164951
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom