Articles | Volume 23, issue 23
https://doi.org/10.5194/acp-23-14779-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-14779-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Dec 2023
Research article |
| 01 Dec 2023
| 01 Dec 2023
The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics
Hamza Ahsan
CORRESPONDING AUTHOR
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
Hailong Wang
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Jingbo Wu
NASA Goddard Institute for Space Studies, New York, NY, USA
Mingxuan Wu
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
Steven J. Smith
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
Susanne Bauer
NASA Goddard Institute for Space Studies, New York, NY, USA
Harrison Suchyta
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
Dirk Olivié
Norwegian Meteorological Institute, Oslo, Norway
Gunnar Myhre
CICERO Center for International Climate Research, Oslo, Norway
Hitoshi Matsui
Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
Huisheng Bian
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Jean-François Lamarque
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Ken Carslaw
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
Larry Horowitz
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Leighton Regayre
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
Met Office Hadley Centre, Exeter, Fitzroy Road, Exeter, Devon, UK
Centre for Environmental Modelling and Computation, School of Earth and Environment, University of Leeds, Leeds, UK
Mian Chin
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Michael Schulz
Norwegian Meteorological Institute, Oslo, Norway
Ragnhild Bieltvedt Skeie
CICERO Center for International Climate Research, Oslo, Norway
Toshihiko Takemura
Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan
Vaishali Naik
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Data sets
CMIP6 historical anthropogenic emissions data H. Ahsan and S. J. Smith https://doi.org/10.25584/DataHub/1769948
Emissions-MIP climate model results (ESMValTool) H. Ahsan, H. Suchyta, and S. J. Smith https://doi.org/10.5281/zenodo.8374475
Short summary
We examine the impact of the assumed effective height of SO2 injection, SO2 and BC emission seasonality, and the assumed fraction of SO2 emissions injected as SO4 on climate and chemistry model results. We find that the SO2 injection height has a large impact on surface SO2 concentrations and, in some models, radiative flux. These assumptions are a
hiddensource of inter-model variability and may be leading to bias in some climate model results.
We examine the impact of the assumed effective height of SO2 injection, SO2 and BC emission...
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