Articles | Volume 20, issue 15
https://doi.org/10.5194/acp-20-9491-2020
© 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-20-9491-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Leighton A. Regayre
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Masaru Yoshioka
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Kirsty J. Pringle
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
Steven T. Turnock
Met Office Hadley Centre, Exeter, UK
Jo Browse
Centre for Geography and Environmental Science, University of Exeter,
Penryn, UK
David M. H. Sexton
Met Office Hadley Centre, Exeter, UK
John W. Rostron
Met Office Hadley Centre, Exeter, UK
Nick A. J. Schutgens
Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Daniel G. Partridge
College for Engineering, Mathematics, and Physical Science, University
of Exeter, Exeter, UK
Dantong Liu
Centre for Atmospheric Sciences, School of Earth and Environmental
Sciences, University of Manchester, Manchester, UK
now at: Department of Atmospheric Sciences, School of Earth
Sciences, Zhejiang University, Hangzhou, Zhejiang, China
James D. Allan
Centre for Atmospheric Sciences, School of Earth and Environmental
Sciences, University of Manchester, Manchester, UK
National Centre for Atmospheric Science, University of Manchester,
Manchester, UK
Centre for Atmospheric Sciences, School of Earth and Environmental
Sciences, University of Manchester, Manchester, UK
Aijun Ding
Joint International Research Laboratory of Atmospheric and Earth
System Sciences (JirLATEST), School of Atmospheric Sciences, Nanjing
University, Nanjing, China
David D. Cohen
Centre for Accelerator Science, ANSTO, New Illawarra Rd, Lucas
Heights, NSW, Australia
Armand Atanacio
Centre for Accelerator Science, ANSTO, New Illawarra Rd, Lucas
Heights, NSW, Australia
Ville Vakkari
Finnish Meteorological Institute, Helsinki, Finland
Atmospheric Chemistry Research Group, Chemical Resource
Beneficiation, North-West University, Potchefstroom, South Africa
Eija Asmi
Finnish Meteorological Institute, Helsinki, Finland
Ken S. Carslaw
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, UK
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Latest update: 18 Nov 2025
Short summary
We use over 9000 monthly aggregated grid-box measurements of aerosol to constrain the uncertainty in the HadGEM3-UKCA climate model. Measurements of AOD, PM2.5, particle number concentrations, sulfate and organic mass concentrations are compared to 1 million
variantsof the model using an implausibility metric. Despite many compensating effects in the model, the procedure constrains the probability distributions of many parameters, and direct radiative forcing uncertainty is reduced by 34 %.
We use over 9000 monthly aggregated grid-box measurements of aerosol to constrain the...
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