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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/acp-2016-1043
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
23 Dec 2016
Review status
A revision of this discussion paper was accepted for the journal Atmospheric Chemistry and Physics (ACP) and is expected to appear here in due course.
Evaluation of ACCMIP ozone simulations using a multi-constituent chemical reanalysis
Kazuyuki Miyazaki1,2 and Kevin Bowman2 1Japan Agency for Marine-Earth Science and Technology, Yokohama 236-0001, Japan
2Jet Propulsion Laboratory-California Institute of Technology, Pasadena, CA, USA
Abstract. The Atmospheric Chemistry Climate Model Intercomparison Project (ACCMIP) ensemble ozone simulations for the present-day are evaluated by a state-of-the-art multi-constituent atmospheric chemical reanalysis that ingests multiple satellite data including Tropospheric Emission Spectrometer (TES), Microwave Limb Sounder (MLS), Ozone Mapping Instrument (OMI), and the Measurements of Pollution in the Troposphere (MOPITT). Validation of the chemical reanalysis against global ozonesondes shows good agreement throughout the free troposphere and lower stratosphere for both seasonal and year-to-year variations, with an annual mean bias of less than 0.9 ppb in the middle and upper troposphere at the tropics and mid-latitudes. The model evaluation using the reanalysis reveals that the ensemble mean overestimates ozone in the northern extratropics by 6–11 ppb while underestimating by up to 18 ppb in the southern tropics over the Atlantic in the lower troposphere. Most models underestimate the spatial variability of the annual mean concentration in the extratropics of both hemispheres in the lower troposphere. The ensemble mean also underestimates the seasonal amplitude by 25–70 % in the NH extratropics and overestimates the inter-hemispheric gradient by about 30 % in the lower and middle troposphere. These differences are less evident with the current sonde network, which is shown to provide biased regional and monthly ozone statistics, especially in the tropics. These systematic biases have implications for ozone radiative forcing and the response of chemistry to climate that can be further quantified as the satellite observational record extends to multiple decades.

Citation: Miyazaki, K. and Bowman, K.: Evaluation of ACCMIP ozone simulations using a multi-constituent chemical reanalysis, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2016-1043, in review, 2016.
Kazuyuki Miyazaki and Kevin Bowman
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Review of Miyazaki and Bowman', Anonymous Referee #2, 20 Jan 2017 Printer-friendly Version 
AC2: 'Response to referee #2', Kazuyuki Miyazaki, 05 Apr 2017 Printer-friendly Version Supplement 
 
RC2: 'Review', Anonymous Referee #1, 27 Jan 2017 Printer-friendly Version 
AC1: 'Response to referee #1', Kazuyuki Miyazaki, 05 Apr 2017 Printer-friendly Version Supplement 
Kazuyuki Miyazaki and Kevin Bowman
Kazuyuki Miyazaki and Kevin Bowman

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Short summary
The ACCMIP ensemble ozone simulations are evaluated by a state-of-the-art multi-constituent chemical reanalysis. The reanalysis product provides comprehensive and unique information on the weakness of the individual models and multi-model mean. The differences are less evident with the current sonde network, which is shown to provide biased regional and monthly ozone statistics. The evaluation results have implications for ozone radiative forcing and the response of chemistry to climate.
The ACCMIP ensemble ozone simulations are evaluated by a state-of-the-art multi-constituent...
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