Influence of 2000–2050 climate change on particulate matter in the United States: results from a new statistical model

Shen, Lu; Mickley, Loretta J.; Murray, Lee T.

doi:https://doi.org/10.5194/acp-17-4355-2017

Articles | Volume 17, issue 6

https://doi.org/10.5194/acp-17-4355-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-4355-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 6

Research article

|

30 Mar 2017

Research article |

| 30 Mar 2017

Influence of 2000–2050 climate change on particulate matter in the United States: results from a new statistical model

Lu Shen, Loretta J. Mickley, and Lee T. Murray

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Final revised paper (published on 30 Mar 2017)
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Preprint (discussion started on 02 Nov 2016)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of Shen et al.', Anonymous Referee #1, 27 Nov 2016
- AC1: 'Response to comments of referee 1 on “Strong influence of 2000-2050 climate change on particulate matter in the United States: Results from a new statistical model”', Lu Shen, 16 Feb 2017
RC2: 'Referee Comment for acp-2016-954', Anonymous Referee #2, 05 Dec 2016
- AC2: 'Response to comments of referee 2 on “Strong influence of 2000-2050 climate change on particulate matter in the United States: Results from a new statistical model”', Lu Shen, 16 Feb 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Lu Shen on behalf of the Authors (16 Feb 2017) Author's response Manuscript

ED: Publish as is (01 Mar 2017) by Qiang Zhang

AR by Lu Shen on behalf of the Authors (10 Mar 2017) Author's response Manuscript

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Short summary

We introduce a new method to characterize the influence of atmospheric circulation on surface PM_2.5 concentrations. Applying our statistical model to climate projections, we find a strong influence of 2000–2050 climate change on PM_2.5 air quality in the United States. We find that current atmospheric chemistry models may underestimate the strong positive sensitivity of PM_2.5 to temperature in the eastern United States in summer, and so may underestimate PM_2.5 changes in a warmer climate.