Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 11
Articles | Volume 22, issue 11
https://doi.org/10.5194/acp-22-7575-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-7575-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 11
Research article
 | 
13 Jun 2022
Research article |  | 13 Jun 2022

The relationship between PM2.5 and anticyclonic wave activity during summer over the United States

Ye Wang, Natalie Mahowald, Peter Hess, Wenxiu Sun, and Gang Chen

Supplement

https://doi.org/10.5194/acp-22-7575-2022-supplement

Data sets

ECMWF Reanalysis -- Interim (ERA-Interim) ECMWF https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-interim

Representation of the Community Earth System Model (CESM1) CAM4-chem within the Chemistry-Climate Model Initiative (CCMI) (http://data.ceda.ac.uk/badc/wcrp-ccmi/data/CCMI-1/output/) Simone Tilmes, Jean-Francois Lamarque, Louisa K. Emmons, Doug E. Kinnison, Dan Marsh, Rolando R. Garcia, Anne K. Smith, Ryan R. Neely, Andrew Conley, Francis Vitt, Maria Val Martin, Hiroshi Tanimoto, Isobel Simpson, Don R. Blake, and Nicola Blake https://doi.org/10.5194/gmd-9-1853-2016

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Short summary
PM2.5 is positively related to anticyclonic wave activity (AWA) changes close to the observing sites. Changes between current and future climates in AWA can explain up to 75 % of PM2.5 variability at some stations using a linear regression model. Our analysis indicates that higher PM2.5 concentrations occur when a positive AWA anomaly is prominent, which could be critical for understanding how pollutants respond to changing atmospheric circulation and for developing robust pollution projections.
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