Unknown

Dataset Information

0

Strong Dependence of U.S. Summertime Air Quality on the Decadal Variability of Atlantic Sea Surface Temperatures.


ABSTRACT: We find that summertime air quality in the eastern U.S. displays strong dependence on North Atlantic sea surface temperatures, resulting from large-scale ocean-atmosphere interactions. Using observations, reanalysis data sets, and climate model simulations, we further identify a multidecadal variability in surface air quality driven by the Atlantic Multidecadal Oscillation (AMO). In one-half cycle (~35 years) of the AMO from cold to warm phase, summertime maximum daily 8 h ozone concentrations increase by 1-4 ppbv and PM2.5 concentrations increase by 0.3-1.0 ?g m-3 over much of the east. These air quality changes are related to warmer, drier, and more stagnant weather in the AMO warm phase, together with anomalous circulation patterns at the surface and aloft. If the AMO shifts to the cold phase in future years, it could partly offset the climate penalty on U.S. air quality brought by global warming, an effect which should be considered in long-term air quality planning.

SUBMITTER: Shen L 

PROVIDER: S-EPMC5838547 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Strong Dependence of U.S. Summertime Air Quality on the Decadal Variability of Atlantic Sea Surface Temperatures.

Shen Lu L   Mickley Loretta J LJ   Leibensperger Eric M EM   Li Mingwei M  

Geophysical research letters 20171226 24


We find that summertime air quality in the eastern U.S. displays strong dependence on North Atlantic sea surface temperatures, resulting from large-scale ocean-atmosphere interactions. Using observations, reanalysis data sets, and climate model simulations, we further identify a multidecadal variability in surface air quality driven by the Atlantic Multidecadal Oscillation (AMO). In one-half cycle (~35 years) of the AMO from cold to warm phase, summertime maximum daily 8 h ozone concentrations i  ...[more]

Similar Datasets

| S-EPMC4579852 | biostudies-literature
| S-EPMC9018715 | biostudies-literature
| S-EPMC4756665 | biostudies-literature
| S-EPMC6355806 | biostudies-other
| S-EPMC5046986 | biostudies-literature
| S-EPMC7988146 | biostudies-literature
| S-EPMC9457383 | biostudies-literature
| S-EPMC7499181 | biostudies-literature
| S-EPMC6987308 | biostudies-literature
| S-EPMC6377629 | biostudies-literature