资源环境科技发展态势分析平台

Summertime surface-level ozone (O-3) is known to vary with temperature, but the relative roles of different processes responsible for causing the O-3-temperature relationship are not well quantified. In this study we use simulations of NASA's Global Modeling Initiative chemical transport model to isolate and assess the relative impact of atmospheric transport, chemistry, and emissions on large-scale O-3 variability, events, and and the covariance of O-3 with temperature. Using observations from the Clean Air Status and Trends Network in the contiguous United States, we show that the Global Modeling Initiative chemical transport model reproduces the spatiotemporal variability of O-3 and its relationship with temperature during the summer. We use the change in O-3 given a change in temperature (dO(3)/dT) along with other metrics to understand differences between our simulations. In regions with moderate to strong positive correlations between temperature and O-3 such as the northeast, Great Lakes, and Great Plains, temperature's association with transport yields a majority of the total O-3-temperature relationship (similar to 60%), while temperature-dependent chemistry and anthropogenic NO emissions play smaller roles (similar to 30% and similar to 10%, respectively). There are regions, however, with insignificant correlations between temperature and O-3, and our findings suggest that transport is still an important driver of O-3 variability in these regions, albeit not correlated with temperature. Transport is not directly dependent on temperature but rather is linked through an indirect association, and it is therefore important to understand the exact mechanisms that link transport to O-3 and how these mechanisms will change in a warming world.