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Unified theoretical framework for black carbon mixing state allows greater accuracy of climate effect estimation

Author

Listed:
  • Jiandong Wang

    (Nanjing University of Information Science and Technology
    Nanjing University of Information Science and Technology)

  • Jiaping Wang

    (Nanjing University
    National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta)

  • Runlong Cai

    (University of Helsinki)

  • Chao Liu

    (Nanjing University of Information Science and Technology
    Nanjing University of Information Science and Technology)

  • Jingkun Jiang

    (Tsinghua University)

  • Wei Nie

    (Nanjing University
    National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta)

  • Jinbo Wang

    (Nanjing University)

  • Nobuhiro Moteki

    (The University of Tokyo)

  • Rahul A. Zaveri

    (Pacific Northwest National Laboratory)

  • Xin Huang

    (Nanjing University)

  • Nan Ma

    (Jinan University)

  • Ganzhen Chen

    (Nanjing University of Information Science and Technology)

  • Zilin Wang

    (Nanjing University)

  • Yuzhi Jin

    (Nanjing University of Information Science and Technology)

  • Jing Cai

    (University of Helsinki)

  • Yuxuan Zhang

    (Nanjing University
    National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta)

  • Xuguang Chi

    (Nanjing University
    National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta)

  • Bruna A. Holanda

    (Max Planck Institute for Chemistry
    Hessian Agency for Nature Conservation, Environment and Geology)

  • Jia Xing

    (Tsinghua University)

  • Tengyu Liu

    (Nanjing University
    National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta)

  • Ximeng Qi

    (Nanjing University
    National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta)

  • Qiaoqiao Wang

    (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

    (Tsinghua University)

  • Jiming Hao

    (Tsinghua University)

  • Meinrat O. Andreae

    (Max Planck Institute for Chemistry
    University of California San Diego
    King Saud University)

  • Aijun Ding

    (Nanjing University
    National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta)

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.

Suggested Citation

  • 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, 2023. "Unified theoretical framework for black carbon mixing state allows greater accuracy of climate effect estimation," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38330-x
    DOI: 10.1038/s41467-023-38330-x
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    References listed on IDEAS

    as
    1. Hunter Brown & Xiaohong Liu & Rudra Pokhrel & Shane Murphy & Zheng Lu & Rawad Saleh & Tero Mielonen & Harri Kokkola & Tommi Bergman & Gunnar Myhre & Ragnhild B. Skeie & Duncan Watson-Paris & Philip St, 2021. "Biomass burning aerosols in most climate models are too absorbing," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
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    3. Hitoshi Matsui & Douglas S. Hamilton & Natalie M. Mahowald, 2018. "Black carbon radiative effects highly sensitive to emitted particle size when resolving mixing-state diversity," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    4. Meinrat O. Andreae, 2001. "The dark side of aerosols," Nature, Nature, vol. 409(6821), pages 671-672, February.
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