Revised historical Northern Hemisphere black carbon emissions based on inverse modeling of ice core records

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 in...

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Veröffentlicht in:Nature communications 2023-01, Vol.14 (1), p.271-8, Article 271
Hauptverfasser: Eckhardt, Sabine, Pisso, Ignacio, Evangeliou, Nikolaos, Zwaaftink, Christine Groot, Plach, Andreas, McConnell, Joseph R., Sigl, Michael, Ruppel, Meri, Zdanowicz, Christian, Lim, Saehee, Chellman, Nathan, Opel, Thomas, Meyer, Hanno, Steffensen, Jørgen Peder, Schwikowski, Margit, Stohl, Andreas
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Sprache:eng
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Zusammenfassung: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. Black Carbon is an important climate forcer with poorly constraint historic emission fluxes and therefore large emission uncertainty. Here, ice-core data are combined with modelling to reconstruct historical emissions of Black carbon and finding gaps with the existing inventories, which implies potential climate sensitivity biases
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-022-35660-0