open access publication

Article, 2024

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

Nature Communications, ISSN 2041-1723, Volume 15, 1, 10.1038/s41467-024-47864-7

Contributors

Zhang B. 0000-0002-8478-2016 [1] Chellman N.J. 0000-0002-1117-1046 [2] Kaplan J.O. [3] Mickley L.J. 0000-0002-7859-3470 [4] Ito T. 0000-0001-9873-099X [1] Wang X. 0000-0002-8532-5773 [5] Wensman S.M. [2] McCrimmon D. 0000-0003-2620-1874 [2] Steffensen J.P. 0000-0002-5516-1093 [6] McConnell J.R. 0000-0001-9051-5240 [2] Liu P. 0000-0003-2885-4721 (Corresponding author) [1]

Affiliations

  1. [1] Georgia Institute of Technology
  2. [NORA names: United States; America, North; OECD];
  3. [2] Desert Research Institute
  4. [NORA names: United States; America, North; OECD];
  5. [3] University of Calgary
  6. [NORA names: Canada; America, North; OECD];
  7. [4] Harvard University
  8. [NORA names: United States; America, North; OECD];
  9. [5] City University of Hong Kong

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.

Funders

  • UKRI-NERC-British Antarctic Survey
  • Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung
  • Københavns Universitet
  • National Science Foundation
  • James Ross Island and Gomez

Data Provider: Elsevier