Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019–2020 Australian wildfires

Heinold, Bernd; Baars, Holger; Barja, Boris; Christensen, Matthew; Kubin, Anne; Ohneiser, Kevin; Schepanski, Kerstin; Schutgens, Nick; Senf, Fabian; Schrödner, Roland; Villanueva, Diego; Tegen, Ina

doi:https://doi.org/10.5194/acp-22-9969-2022

Articles | Volume 22, issue 15

https://doi.org/10.5194/acp-22-9969-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

The role of fire in the Earth system: understanding interactions...

https://doi.org/10.5194/acp-22-9969-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 15

Research article

|

04 Aug 2022

Research article |

| 04 Aug 2022

Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019–2020 Australian wildfires

Bernd Heinold, Holger Baars, Boris Barja, Matthew Christensen, Anne Kubin, Kevin Ohneiser, Kerstin Schepanski, Nick Schutgens, Fabian Senf, Roland Schrödner, Diego Villanueva, and Ina Tegen

Data sets

Data for paper publication 'Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019/2020 Australian wildfires' Bernd Heinold, Holger Baars, Boris Barja, Anne Kubin, Kevin Ohneiser, and Ina Tegen https://doi.org/10.5281/zenodo.5571545

Model code and software

The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0 HAMMOZ community https://redmine.hammoz.ethz.ch

Short summary

The extreme 2019–2020 Australian wildfires produced massive smoke plumes lofted into the lower stratosphere by pyrocumulonimbus convection. Most climate models do not adequately simulate the injection height of such intense fires. By combining aerosol-climate modeling with prescribed pyroconvective smoke injection and lidar observations, this study shows the importance of the representation of the most extreme wildfire events for estimating the atmospheric energy budget.