Articles | Volume 25, issue 14
https://doi.org/10.5194/acp-25-8289-2025
© Author(s) 2025. 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-25-8289-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Opinion: The role of AerChemMIP in advancing climate and air quality research
Paul T. Griffiths
CORRESPONDING AUTHOR
National Centre for Atmospheric Science, Cambridge University, Cambridge, UK
School of Chemistry, Bristol University, Bristol, UK
Laura J. Wilcox
National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, UK
Robert J. Allen
Department of Earth and Planetary Sciences, UC Riverside, Riverside, CA, USA
Vaishali Naik
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Fiona M. O'Connor
Met Office Hadley Centre, Exeter, UK
Department of Mathematics & Statistics, Global Systems Institute, University of Exeter, Exeter, UK
Michael Prather
Department of Earth System Science University of California, Irvine, CA, USA
Alex Archibald
National Centre for Atmospheric Science, Cambridge University, Cambridge, UK
Florence Brown
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Makoto Deushi
Department of Atmosphere, Ocean, and Earth System Modeling Research, Meteorological Research Institute, Tsukuba, Japan
William Collins
Department of Meteorology, University of Reading, Reading, UK
Stephanie Fiedler
GEOMAR Helmholtz Centre for Ocean Research Kiel & Faculty of Mathematics and Natural Sciences, Christian-Albrechts-University of Kiel, Kiel, Germany
Naga Oshima
Department of Atmosphere, Ocean, and Earth System Modeling Research, Meteorological Research Institute, Tsukuba, Japan
Lee T. Murray
Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY, USA
Bjørn H. Samset
CICERO Center for International Climate Research, Oslo, Norway
Chris Smith
School of Earth and Environment, University of Leeds, Leeds, UK
Integrated Assessment and Climate Change Research Group, International Institute for Applied Systems Analysis, Laxenburg, Austria
Steven Turnock
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
University of Leeds Met Office Strategic (LUMOS) Research Group, University of Leeds, Leeds, UK
Duncan Watson-Parris
Scripps Institution of Oceanography, UC San Diego, San Diego, CA, USA
Halıcıoğlu Data Science Institute, UC San Diego, San Diego, CA, USA
Paul J. Young
JBA Risk Management Ltd, Skipton, UK
School of Engineering, Newcastle University, Newcastle, UK
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Cited
8 citations as recorded by crossref.
- Biased Aerosol Wet Deposition CAM5 Simulations: A Result of Misrepresented Convective-Stratiform Precipitation Partitioning When Benchmarked Against SPCAM W. Xia et al.
- Perspectives on IPCC assessment of SLCF role in climate S. Szopa et al.
- Deep learning for air pollutant forecasting: opportunities, challenges, and future directions C. Tao et al.
- AerChemMIP2 – unraveling the role of reactive gases, aerosol particles, and land use for air quality and climate change in CMIP7 S. Fiedler et al.
- Regional climate imprints of recent historical changes in anthropogenic Near Term Climate Forcers A. Santos-Espeso et al.
- CMIP7 Data Request: atmosphere priorities and opportunities B. Dingley et al.
- Anthropogenic aerosols override greenhouse gases in Sahel climate change H. Nnamchi & S. Fiedler
- Decomposing the global and regional aerosol effective radiative forcing associated with strong versus weak air quality policies by Mid-21st century R. Allen et al.
8 citations as recorded by crossref.
- Biased Aerosol Wet Deposition CAM5 Simulations: A Result of Misrepresented Convective-Stratiform Precipitation Partitioning When Benchmarked Against SPCAM W. Xia et al.
- Perspectives on IPCC assessment of SLCF role in climate S. Szopa et al.
- Deep learning for air pollutant forecasting: opportunities, challenges, and future directions C. Tao et al.
- AerChemMIP2 – unraveling the role of reactive gases, aerosol particles, and land use for air quality and climate change in CMIP7 S. Fiedler et al.
- Regional climate imprints of recent historical changes in anthropogenic Near Term Climate Forcers A. Santos-Espeso et al.
- CMIP7 Data Request: atmosphere priorities and opportunities B. Dingley et al.
- Anthropogenic aerosols override greenhouse gases in Sahel climate change H. Nnamchi & S. Fiedler
- Decomposing the global and regional aerosol effective radiative forcing associated with strong versus weak air quality policies by Mid-21st century R. Allen et al.
Saved (final revised paper)
Latest update: 17 May 2026
Editorial statement
This paper provides a guideline The Role of AerChemMIP and will therefore be helpful both for future assessments and for the development of the MIPs in general.
Rolf Müller
This paper provides a guideline The Role of AerChemMIP and will therefore be helpful both for...
Short summary
The Aerosol Chemistry Model Intercomparison Project (AerChemMIP) aimed to quantify the climate and air quality impacts of aerosols and chemically reactive gases. We review its contribution to AR6 (Sixth Assessment Report of the Intergovernmental Panel on Climate Change) and the wider understanding of the role of these species in climate and climate change. We identify challenges and provide recommendations to improve the utility and uptake of climate model data, detailed summary tables of CMIP6 models, experiments, and emergent diagnostics.
The Aerosol Chemistry Model Intercomparison Project (AerChemMIP) aimed to quantify the climate...
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