Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-281-2020
https://doi.org/10.5194/acp-20-281-2020
Research article
 | 
08 Jan 2020
Research article |  | 08 Jan 2020

Attribution of Chemistry-Climate Model Initiative (CCMI) ozone radiative flux bias from satellites

Le Kuai, Kevin W. Bowman, Kazuyuki Miyazaki, Makoto Deushi, Laura Revell, Eugene Rozanov, Fabien Paulot, Sarah Strode, Andrew Conley, Jean-François Lamarque, Patrick Jöckel, David A. Plummer, Luke D. Oman, Helen Worden, Susan Kulawik, David Paynter, Andrea Stenke, and Markus Kunze

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Le Kuai on behalf of the Authors (25 Sep 2019)
ED: Referee Nomination & Report Request started (27 Sep 2019) by Pedro Jimenez-Guerrero
ED: Publish as is (18 Nov 2019) by Pedro Jimenez-Guerrero
AR by Le Kuai on behalf of the Authors (18 Nov 2019)  Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Le Kuai on behalf of the Authors (02 Jan 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (02 Jan 2020) by Pedro Jimenez-Guerrero
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Short summary
The tropospheric ozone increase from pre-industrial to the present day leads to a radiative forcing. The top-of-atmosphere outgoing fluxes at the ozone band are controlled by ozone, water vapor, and temperature. We demonstrate a method to attribute the models’ flux biases to these key players using satellite-constrained instantaneous radiative kernels. The largest spread between models is found in the tropics, mainly driven by ozone and then water vapor.
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