reference : Understanding the meteorological drivers of U.S. particulate matter concentrations in a changing climate

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/reference/2bd16a59-d347-4fb4-9ff7-701e0c32ab60
Bibliographic fields
reftype Journal Article
Abstract Particulate matter (PM) air pollution is a serious public health issue for the United States. While there is a growing body of evidence that climate change will partially counter the effectiveness of future precursor emission reductions to reduce ozone (O3) air pollution, the links between PM and climate change are more complex and less understood. This paper discusses what we currently understand about the potential sensitivity of PM episodes to climate-change-related shifts in air pollution meteorology, in the broader context of the emissions and atmospheric chemistry drivers of PM. For example, initial studies have focused largely on annual average concentrations of inorganic aerosol species. However, the potential for future changes in the occurrence of PM episodes, and their underlying meteorological drivers, are likely more important to understand and remain highly uncertain. In addition, a number of other poorly understood factors interact with these likely critical meteorological changes. These include changes in emissions from wildfires, as well as atmospheric processing of organic aerosol precursor chemicals. More work is needed to support the management of the health and environmental risks of climate-induced changes in PM. We suggest five priorities for the research community to address based on the current state of the literature.
Author Dawson, John P.; Bloomer, Bryan J.; Winner, Darrell A.; Weaver, Christopher P.
DOI 10.1175/BAMS-D-12-00181.1
Date 2014/04/01
ISSN 1520-0477
Issue 4
Journal Bulletin of the American Meteorological Society
Pages 521-532
Title Understanding the meteorological drivers of U.S. particulate matter concentrations in a changing climate
Volume 95
Year 2014
Bibliographic identifiers
.publisher American Meteorological Society
.reference_type 0
_record_number 19093
_uuid 2bd16a59-d347-4fb4-9ff7-701e0c32ab60