Meteorological modes of variability for fine particulate matter (PM[subscript 2.5]) air quality in the United States: implications for PM[subscript 2.5] sensitivity to climate change

We applied a multiple linear regression model to understand the relationships of PM[subscript 2.5] with meteorological variables in the contiguous US and from there to infer the sensitivity of PM[subscript 2.5] to climate change. We used 2004–2008 PM[subscript 2.5] observations from ~1000 sites (~20...

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Bibliographic Details
Main Authors: Mickley, Loretta J., Jacob, Daniel J., Leibensperger, Eric Michael, Zhang, L., Fisher, J. A., Pye, Havala Olson Taylor, Tai, Amos P. K.
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Language:en_US
Published: Copernicus GmbH 2012
Online Access:http://hdl.handle.net/1721.1/73852