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

Journal Article · · Nature Communications
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  1. Nanjing Univ. of Information Science and Technology (China)
  2. Nanjing Univ. of Information Science and Technology (China); National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing (China)
  3. Univ. of Helsinki (Finland)
  4. Tsinghua Univ., Beijing (China)
  5. Univ. of Tokyo (Japan)
  6. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  7. Jinan Univ., Guangzhou, Guangdong (China)
  8. Max Planck Institute for Chemistry, Mainz (Germany); Hessian Agency for Nature Conservation, Wiesbaden (Germany)
  9. Max Planck Institute for Chemistry, Mainz (Germany)
  10. Max Planck Institute for Chemistry, Mainz (Germany); Univ. of California, San Diego, La Jolla, CA (United States). Scripps Inst. of Oceanography; King Saud Univ., Riyadh (Saudi Arabia)

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.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Natural Science Foundation of China (NSFC); National Key Research and Development Program of China
Contributing Organization:
Pacific Northwest National Laboratory (PNNL); Brookhaven National Laboratory (BNL); Argonne National Laboratory (ANL)
Grant/Contract Number:
AC06-76RL01830; 42005082; 42075098; 2022YFC3701000
OSTI ID:
1975725
Journal Information:
Nature Communications, Vol. 14, Issue 1; ISSN 2041-1723
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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