Improved biomass burning emissions from 1750 to 2010 using ice core records and inverse modeling

Bingqing Zhang, Nathan J. Chellman, Jed O. Kaplan, Loretta J. Mickley, Takamitsu Ito, Xuan Wang, Sophia M. Wensman, Drake McCrimmon, Jørgen Peder Steffensen, Joseph R. McConnell and Pengfei Liu
Additional contact information
Bingqing Zhang: Georgia Institute of Technology
Nathan J. Chellman: Desert Research Institute
Jed O. Kaplan: University of Calgary
Loretta J. Mickley: Harvard University
Takamitsu Ito: Georgia Institute of Technology
Xuan Wang: City University of Hong Kong
Sophia M. Wensman: Desert Research Institute
Drake McCrimmon: Desert Research Institute
Jørgen Peder Steffensen: University of Copenhagen
Joseph R. McConnell: Desert Research Institute

Nature Communications, 2024, vol. 15, issue 1, 1-10

Abstract: Abstract Estimating fire emissions prior to the satellite era is challenging because observations are limited, leading to large uncertainties in the calculated aerosol climate forcing following the preindustrial era. This challenge further limits the ability of climate models to accurately project future climate change. Here, we reconstruct a gridded dataset of global biomass burning emissions from 1750 to 2010 using inverse analysis that leveraged a global array of 31 ice core records of black carbon deposition fluxes, two different historical emission inventories as a priori estimates, and emission-deposition sensitivities simulated by the atmospheric chemical transport model GEOS-Chem. The reconstructed emissions exhibit greater temporal variabilities which are more consistent with paleoclimate proxies. Our ice core constrained emissions reduced the uncertainties in simulated cloud condensation nuclei and aerosol radiative forcing associated with the discrepancy in preindustrial biomass burning emissions. The derived emissions can also be used in studies of ocean and terrestrial biogeochemistry.

Date: 2024
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DOI: 10.1038/s41467-024-47864-7

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