Evidence map›Paper›PMID 41261103›Full record

ArticleNature communications2025

Locating the missing absorption enhancement due to multi‒core black carbon aerosols.

Xiyao Chen, Joseph Ching, Feng Wu, Hitoshi Matsui, Mark Z Jacobson, Fan Zhang, Yuanyuan Wang, Zexuan Zhang, Dantong Liu, Shupeng Zhu and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Xiyao ChenState Key Laboratory of Ocean Sensing and Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China.
Joseph ChingDepartment of Science and Environmental Studies, The Education University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-1295-6176
Feng WuKey Laboratory of Aerosol Chemistry and Physics and State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Science, Xi'an, China.ORCID http://orcid.org/0000-0002-9570-5817
Hitoshi MatsuiGraduate School of Environmental Studies, Nagoya University, Nagoya, Japan.ORCID http://orcid.org/0000-0002-0376-0879
Mark Z JacobsonDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4315-4128
Fan ZhangState Key Laboratory of Ocean Sensing and Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0009-0003-3531-1140
Yuanyuan WangState Key Laboratory of Ocean Sensing and Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China.
Zexuan ZhangState Key Laboratory of Ocean Sensing and Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China.
Dantong LiuState Key Laboratory of Ocean Sensing and Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China.
Shupeng ZhuState Key Laboratory of Ocean Sensing and Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0002-8446-9329
Yinon RudichDepartment of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel.ORCID http://orcid.org/0000-0003-3149-0201
Zongbo ShiSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-7157-543X
Hanjin YooParticle Pollution Research and Management Centre, Inha University, Incheon, Republic of Korea.
Ki-Joon JeonDepartment of Environmental Engineering, Inha University, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0003-1653-6339
Weijun LiState Key Laboratory of Ocean Sensing and Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, China. liweijun@zju.edu.cn.ORCID http://orcid.org/0000-0003-4887-4260

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Black carbon (BC) aerosols, with their strong light-absorbing ability, are major drivers of the global climate. In existing models, BC aerosols are simplified as a single core when determining radiative effects. Here, we found that 21% of BC aerosols contain multiple cores during a wildfire smoke observation. By considering dynamic effective medium approximation (DEMA) with Mie theory and assuming randomly distributed multi‒core BC, the light absorption was 1.81 times greater than that under the single‒core assumption for particles with overall diameters >400 nm and core diameters >200 nm. A machine learning emulator was developed for DEMA-based absorption enhancements and incorporated into a global atmospheric model. For global aerosol absorption, multi‒core BC particles lead to a 19% increase, especially in wildfire-affected regions. This study emphasizes the critical role of multi‒core BC particles in amplifying radiative forcing and the necessity to revise models for the simulation of BC climate impact.

Identifiers

PMID41261103
PMCPMC12630676

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.