Articles | Volume 16, issue 4
Research article
02 Mar 2016
Research article |  | 02 Mar 2016

Using statistical models to explore ensemble uncertainty in climate impact studies: the example of air pollution in Europe

Vincent E. P. Lemaire, Augustin Colette, and Laurent Menut


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 Vincent Lemaire on behalf of the Authors (11 Feb 2016)  Author's response   Manuscript 
ED: Publish as is (22 Feb 2016) by Jørgen Brandt
AR by Vincent Lemaire on behalf of the Authors (23 Feb 2016)
Short summary
Because of its sensitivity to unfavorable weather patterns, air pollution is sensitive to climate change. Its impact is typically assessed using deterministic chemistry-transport models forced by an ensemble of climate projection. Because of the high computational cost of such initiative, elaborated techniques are required to optimize the exploration of ensemble of future projections. We develop such a technique, which also allows quantifying uncertainties in climate and air quality projections.
Final-revised paper