Articles | Volume 17, issue 6
https://doi.org/10.5194/acp-17-4355-2017
https://doi.org/10.5194/acp-17-4355-2017
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

Viewed

Total article views: 5,349 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,467 1,742 140 5,349 602 88 115
  • HTML: 3,467
  • PDF: 1,742
  • XML: 140
  • Total: 5,349
  • Supplement: 602
  • BibTeX: 88
  • EndNote: 115
Views and downloads (calculated since 02 Nov 2016)
Cumulative views and downloads (calculated since 02 Nov 2016)

Viewed (geographical distribution)

Total article views: 5,349 (including HTML, PDF, and XML) Thereof 5,326 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download

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

Short summary
We introduce a new method to characterize the influence of atmospheric circulation on surface PM2.5 concentrations. Applying our statistical model to climate projections, we find a strong influence of 2000–2050 climate change on PM2.5 air quality in the United States. We find that current atmospheric chemistry models may underestimate the strong positive sensitivity of PM2.5 to temperature in the eastern United States in summer, and so may underestimate PM2.5 changes in a warmer climate.
Altmetrics
Final-revised paper
Preprint