Strong influence of 2000–2050 climate change on particulate matter in the United States: Results from a new statistical model
Other literature type
Mickley, Loretta J.
Murray, Lee T.
(issn: 1680-7324, eissn: 1680-7324)
We use a statistical model to investigate the effect of 2000–2050 climate change on fine particulate matter (PM<sub>2.5</sub>) air quality across the contiguous United States. By applying observed relationships of PM<sub>2.5</sub> and meteorology to the IPCC Coupled Model Intercomparision Project Phase 5 (CMIP5) archives, we bypass many of the uncertainties inherent in chemistry-climate models. Our approach uses both the relationships between PM<sub>2.5</sub> and local meteorology as well as the synoptic circulation patterns, defined as the Singular Value Decomposition (SVD) pattern of the spatial correlations between PM<sub>2.5</sub> and meteorological variables in the surrounding region. Using an ensemble of 17 GCMs under the RCP4.5 scenario, we project an increase of ~ 1 μg m<sup>−3</sup> in annual mean PM<sub>2.5</sub> in the eastern US and a decrease of 0.3–1.2 μg m<sup>−3</sup> in the Intermountain West by the 2050s, assuming present-day anthropogenic sources of PM<sub>2.5</sub>. Mean summertime PM<sub>2.5</sub> increases as much as 2–3 μg m<sup>−3</sup> in the eastern United States due to faster oxidation rates and greater mass of organic carbon from biogenic emissions. Mean wintertime PM<sub>2.5</sub> decreases by 0.3–3 μg m<sup>−3</sup> over most regions in United States, likely due to the volatilization of ammonium nitrate. Our approach provides an efficient method to calculate the climate penalty or benefit on air quality across a range of models and scenarios. We find that current atmospheric chemistry models may underestimate or even fail to capture the strongly positive sensitivity of monthly mean PM<sub>2.5</sub> to temperature in the eastern United States in summer, and may underestimate future changes in PM<sub>2.5</sub> in a warmer climate. In GEOS-Chem, the underestimate in monthly mean PM<sub>2.5</sub>-temperature relationship in the East in summer is likely caused by overly strong negative sensitivity of monthly mean low cloud fraction to temperature in the assimilated meteorology (~ −0.04 K<sup>−1</sup>), compared to the weak sensitivity implied by satellite observations (±0.01 K<sup>−1</sup>). The strong negative dependence of low cloud cover on temperature, in turn, causes the modeled rates of sulfate aqueous oxidation to diminish too rapidly as temperatures rise, leading to the underestimate of sulfate-temperature slopes, especially in the South. Our work underscores the importance of evaluating the sensitivity of PM<sub>2.5</sub> to its key controlling meteorological variables in climate-chemistry models on multiple timescales before they are applied to project future air quality.