Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-613-2020
© Author(s) 2020. 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-20-613-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jan 2020
Research article |
| 17 Jan 2020
| 17 Jan 2020
Surprising similarities in model and observational aerosol radiative forcing estimates
Edward Gryspeerdt
CORRESPONDING AUTHOR
Space and Atmospheric Physics Group, Imperial College London, London, UK
Johannes Mülmenstädt
Institute for Meteorology, Universität Leipzig, Leipzig, Germany
now at: Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, USA
Andrew Gettelman
National Center for Atmospheric Research, Boulder, USA
Florent F. Malavelle
College of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter, UK
Met Office, Fitzroy Road, Exeter, UK
Hugh Morrison
National Center for Atmospheric Research, Boulder, USA
David Neubauer
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Daniel G. Partridge
College of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter, UK
Philip Stier
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Toshihiko Takemura
Research Institute for Applied Mathematics, Kyushu University, Fukuoka, Japan
Hailong Wang
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, USA
Minghuai Wang
Institute for Climate and Global Change Research, Nanjing University, Nanjing, China
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Collaborative Innovation Center of Climate Change, Nanjing, China
Kai Zhang
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, USA
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Latest update: 14 Dec 2024
Short summary
Aerosol radiative forcing is a key uncertainty in our understanding of the human forcing of the climate, with much of this uncertainty coming from aerosol impacts on clouds. Observation-based estimates of the radiative forcing are typically smaller than those from global models, but it is not clear if they are more reliable. This work shows how the forcing components in global climate models can be identified, highlighting similarities between the two methods and areas for future investigation.
Aerosol radiative forcing is a key uncertainty in our understanding of the human forcing of the...
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