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

Supplement

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

Data sets

Replication Data for: Influence of 2000-2050 climate change on particulate matter in the United States: results from a new statistical model L. Shen, L. Mickley, and L. Murray https://doi.org/10.7910/DVN/MHN3NY

Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Article (6243 KB)
Full-text XML

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.