Articles | Volume 20, issue 3
https://doi.org/10.5194/acp-20-1757-2020
https://doi.org/10.5194/acp-20-1757-2020
Research article
 | 
14 Feb 2020
Research article |  | 14 Feb 2020

Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015

Karl M. Seltzer, Drew T. Shindell, Prasad Kasibhatla, and Christopher S. Malley

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Karl Seltzer on behalf of the Authors (06 Dec 2019)  Author's response    Manuscript
ED: Publish as is (10 Jan 2020) by Pedro Jimenez-Guerrero
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Short summary
Long-term exposure to ambient ozone is associated with a variety of impacts, including adverse human-health effects and reduced commercial crop yields. We apply machine learning to empirically model long-term O3 exposure over the continental United States from 2000 to 2015 and generate a measurement-based assessment of impacts on human health and crop yields. Notably, our results illustrate how different conclusions regarding historical impacts can be drawn through the use of varying metrics.
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