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Journal Articles Nature Communications Year : 2022

Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions

Qirui Zhong
  • Function : Author
Nick Schutgens
  • Function : Author
Guido R. van der Werf
  • Function : Author
Twan van Noije
  • Function : Author
Susanne E. Bauer
  • Function : Author
Kostas Tsigaridis
  • Function : Author
Tero Mielonen
  • Function : Author
David Neubauer
  • Function : Author
Zak Kipling
  • Function : Author
Alf Kirkevâg
  • Function : Author
Dirk J. L. Olivié
  • Function : Author
Harri Kokkola
  • Function : Author
Hitoshi Matsui
  • Function : Author
Paul Ginoux
  • Function : Author
Toshihiko Takemura
  • Function : Author
Philippe Le Sager
  • Function : Author
Samuel Rémy
  • Function : Author
Huisheng Bian
  • Function : Author
Mian Chin
  • Function : Author

Abstract

Biomass burning (BB) is a major source of aerosols that remain the most uncertain components of the global radiative forcing. Current global models have great difficulty matching observed aerosol optical depth (AOD) over BB regions. A common solution to address modelled AOD biases is scaling BB emissions. Using the relationship from an ensemble of aerosol models and satellite observations, we show that the bias in aerosol modelling results primarily from incorrect lifetimes and underestimated mass extinction coefficients. In turn, these biases seem to be related to incorrect precipitation and underestimated particle sizes. We further show that boosting BB emissions to correct AOD biases over the source region causes an overestimation of AOD in the outflow from Africa by 48%, leading to a double warming effect compared with when biases are simultaneously addressed for both aforementioned factors. Such deviations are particularly concerning in a warming future with increasing emissions from fires.
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Dates and versions

insu-03993097 , version 1 (16-02-2023)

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Qirui Zhong, Nick Schutgens, Guido R. van der Werf, Twan van Noije, Susanne E. Bauer, et al.. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions. Nature Communications, 2022, 13, ⟨10.1038/s41467-022-33680-4⟩. ⟨insu-03993097⟩
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