ArticleNature communications2023
Revised historical Northern Hemisphere black carbon emissions based on inverse modeling of ice core records.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 40 citations in OpenAlex.
- Multiple paleofire proxy metrics from tropical lake sediment and soil in the Greater Serengeti Ecosystem.The Holocene · 2025Article
- Acidity-driven gas-particle partitioning of nitrate regulates its transport to Arctic through the industrial era.Nature communications · 2025Article
- Improved biomass burning emissions from 1750 to 2010 using ice core records and inverse modeling.Nature communications · 2024Article
- Char dominates black carbon aerosol emission and its historic reduction in China.Nature communications · 2023Article
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Authors and funding
16 authors at 10 institutions in 9 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Black carbon emitted by incomplete combustion of fossil fuels and biomass has a net warming effect in the atmosphere and reduces the albedo when deposited on ice and snow; accurate knowledge of past emissions is essential to quantify and model associated global climate forcing. Although bottom-up inventories provide historical Black Carbon emission estimates that are widely used in Earth System Models, they are poorly constrained by observations prior to the late 20th century. Here we use an objective inversion technique based on detailed atmospheric transport and deposition modeling to reconstruct 1850 to 2000 emissions from thirteen Northern Hemisphere ice-core records. We find substantial discrepancies between reconstructed Black Carbon emissions and existing bottom-up inventories which do not fully capture the complex spatial-temporal emission patterns. Our findings imply changes to existing historical Black Carbon radiative forcing estimates are necessary, with potential implications for observation-constrained climate sensitivity.
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