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Improved biomass burning emissions from 1750 to 2010 using ice core records and inverse modeling.
Zhang, Bingqing; Chellman, Nathan J; Kaplan, Jed O; Mickley, Loretta J; Ito, Takamitsu; Wang, Xuan; Wensman, Sophia M; McCrimmon, Drake; Steffensen, Jørgen Peder; McConnell, Joseph R; Liu, Pengfei.
Afiliación
  • Zhang B; School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Chellman NJ; Division of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.
  • Kaplan JO; Department of Earth, Energy, and Environment, University of Calgary, Calgary, AB, Canada.
  • Mickley LJ; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
  • Ito T; School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Wang X; School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China.
  • Wensman SM; Division of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.
  • McCrimmon D; Division of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.
  • Steffensen JP; Physics of Ice, Climate, and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark.
  • McConnell JR; Division of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA.
  • Liu P; School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA. pengfei.liu@eas.gatech.edu.
Nat Commun ; 15(1): 3651, 2024 Apr 30.
Article en En | MEDLINE | ID: mdl-38688918
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.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos