Articles | Volume 20, issue 15
https://doi.org/10.5194/acp-20-9491-2020
https://doi.org/10.5194/acp-20-9491-2020
Research article
 | 
13 Aug 2020
Research article |  | 13 Aug 2020

Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing

Jill S. Johnson, Leighton A. Regayre, Masaru Yoshioka, Kirsty J. Pringle, Steven T. Turnock, Jo Browse, David M. H. Sexton, John W. Rostron, Nick A. J. Schutgens, Daniel G. Partridge, Dantong Liu, James D. Allan, Hugh Coe, Aijun Ding, David D. Cohen, Armand Atanacio, Ville Vakkari, Eija Asmi, and Ken S. Carslaw

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jill Johnson on behalf of the Authors (23 Jun 2020)  Author's response   Manuscript 
ED: Publish as is (28 Jun 2020) by Pedro Jimenez-Guerrero
AR by Jill Johnson on behalf of the Authors (02 Jul 2020)
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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 variants of 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 %.
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