ArticleNature communications2025
Black carbon emissions generally underestimated in the global south as revealed by globally distributed measurements.
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 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Spatial and Temporal Trends of Ambient PMACS ES&T air · 2026Article
- PMScience advances · 2026Article
- Quantifying the wildfire contribution to PAH concentrations and health effects.Environmental research letters : ERL [Web site] · 2026Article
- Weakening synergies in carbon and air pollution co-control necessitate robust structural transitions in China's transportation sector.National science review · 2025Article
- Black carbon emissions generally underestimated in the global south as revealed by globally distributed measurements.Nature communications · 2025Article
Corrections and comments
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Authors and funding
42 authors.
Funding
Abstract
Characterizing black carbon (BC) on a fine scale globally is essential for understanding its climate and health impacts. However, sparse BC mass measurements in different parts of the world and coarse model resolution have inhibited evaluation of global BC emission inventories. Here, we apply globally distributed BC mass measurements from the Surface Particulate Matter Network (SPARTAN) and complementary measurement networks to evaluate contemporary BC emission inventories. We use a global chemical transport model (GEOS-Chem) in its high-performance configuration (GCHP) for high-resolution simulations to relate BC emissions to ambient concentrations for comparison with measurements. Here we find that simulations using the Community Emissions Data System (CEDS) emission inventory exhibit skill (r
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Registered trials
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