Articles | Volume 18, issue 17
https://doi.org/10.5194/acp-18-13031-2018
https://doi.org/10.5194/acp-18-13031-2018
Research article
 | 
11 Sep 2018
Research article |  | 11 Sep 2018

The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing

Jill S. Johnson, Leighton A. Regayre, Masaru Yoshioka, Kirsty J. Pringle, Lindsay A. Lee, David M. H. Sexton, John W. Rostron, Ben B. B. Booth, and Kenneth 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 (06 Aug 2018)  Author's response   Manuscript 
ED: Publish subject to technical corrections (07 Aug 2018) by Patrick Chuang
AR by Jill Johnson on behalf of the Authors (17 Aug 2018)  Author's response   Manuscript 
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Short summary
We estimate the uncertainty in an aerosol–climate model that has been tuned to match several common types of observations. We used a large set of model simulations and built emulators so that we could generate 4 million “variants” of our climate model. Even after using nine aerosol and cloud observations to constrain the model, the uncertainty remains large. We conclude that estimates of aerosol forcing from multi-model studies are likely to be more uncertain than currently estimated.
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