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Volume 18, issue 16
Atmos. Chem. Phys., 18, 11813-11829, 2018
https://doi.org/10.5194/acp-18-11813-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 18, 11813-11829, 2018
https://doi.org/10.5194/acp-18-11813-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Aug 2018

Research article | 20 Aug 2018

Implementing microscopic charcoal particles into a global aerosol–climate model

Anina Gilgen1, Carole Adolf2,3,*, Sandra O. Brugger2,3,*, Luisa Ickes1,4, Margit Schwikowski5,3,6, Jacqueline F. N. van Leeuwen2,3, Willy Tinner2,3,7, and Ulrike Lohmann1 Anina Gilgen et al.
  • 1ETH Zürich, Institute for Atmospheric and Climate Science, Zürich, Switzerland
  • 2University of Bern, Institute of Plant Sciences, Bern, Switzerland
  • 3University of Bern, Oeschger Centre for Climate Change Research, Bern, Switzerland
  • 4Now at Stockholm University, Department of Meteorology, Stockholm, Sweden
  • 5Paul Scherrer Institut, Villigen, Switzerland
  • 6University of Bern, Department of Chemistry and Biochemistry, Bern, Switzerland
  • 7ETH Zürich, Institute of Terrestrial Ecosystems, Zürich, Switzerland
  • *These co-authors contributed equally to the paper and are considered joint second authors.

Abstract. Microscopic charcoal particles are fire-specific tracers, which are ubiquitous in natural archives such as lake sediments or ice cores. Thus, charcoal records from lake sediments have become the primary source for reconstructing past fire activity. Microscopic charcoal particles are generated during forest and grassland fires and can be transported over large distances before being deposited into natural archives. In this paper, we implement microscopic charcoal particles into a global aerosol–climate model to better understand the transport of charcoal on a large scale. Atmospheric transport and interactions with other aerosol particles, clouds, and radiation are explicitly simulated.

To estimate the emissions of the microscopic charcoal particles, we use recent European charcoal observations from lake sediments as a calibration data set. We found that scaling black carbon fire emissions from the Global Fire Assimilation System (a satellite-based emission inventory) by approximately 2 orders of magnitude matches the calibration data set best. The charcoal validation data set, for which we collected charcoal observations from all over the globe, generally supports this scaling factor. In the validation data set, we included charcoal particles from lake sediments, peats, and ice cores. While only the Spearman rank correlation coefficient is significant for the calibration data set (0.67), both the Pearson and the Spearman rank correlation coefficients are positive and significantly different from zero for the validation data set (0.59 and 0.48, respectively). Overall, the model captures a significant portion of the spatial variability, but it fails to reproduce the extreme spatial variability observed in the charcoal data. This can mainly be explained by the coarse spatial resolution of the model and uncertainties concerning fire emissions. Furthermore, charcoal fluxes derived from ice core sites are much lower than the simulated fluxes, which can be explained by the location properties (high altitude and steep topography, which are not well represented in the model) of most of the investigated ice cores.

Global modelling of charcoal can improve our understanding of the representativeness of this fire proxy. Furthermore, it might allow past fire emissions provided by fire models to be quantitatively validated. This might deepen our understanding of the processes driving global fire activity.

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Microscopic charcoal particles are fire-specific tracers, which are presently the primary source for reconstructing past fire activity. In this study, we implement microscopic charcoal particles into a global aerosol–climate model to better understand the transport of charcoal on a large scale. We find that the model captures a significant portion of the spatial variability but fails to reproduce the extreme variability observed in the charcoal data.
Microscopic charcoal particles are fire-specific tracers, which are presently the primary source...
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