Controls of seasonal high-level ozone statistics in the Northeastern US, part I: An examination of 1993–2012
In general, the strongest meteorological-based predictors of ozone in the study region are frequency of high temperatures and precipitation, as well as solar radiation flux. Statistical models of meteorological variables explained about 60-75% of the variability in the annual ozone time series, and had a typical error-to-variability ratio of 0.50-0.65. Teleconnection-based variables such as the Artic Oscillation, North American Oscillation, Quasi-Biennial Oscillation and the Pacific Decadal Oscillation are best linked to ozone in the region. Statistical models based on teleconnection-based variables explained 40-60% of the variability in the ozone annual time series, and had a typical error-to-variability ratio of 0.60-0.75.