Impact of the Interannual Variability in Large-Scale Circulation on the
Ground-Level Ozone Variability Over Eastern China
Abstract
Interannual variation in ozone pollution could vary greatly with
large-scale circulations. Using empirical orthogonal function (EOF) and
singular value decomposition (SVD), we statistically assess the impacts
of large-scale circulations on seasonal and interannual variability of
ground-level ozone in eastern China, by using the data from 2014 to
2019. The EOF results show three major variation patterns of ozone: the
dominant seasonal variation pattern over the majority of eastern China,
the anti-correlation between northern and southern China (NorthC and
SouthC), and the ozone peaks in early spring over the coastal areas and
Taiwan. Multiple linear regression results show that the first three
modes of meteorological factors can explain 44%, 22%, and 11% of the
ozone variability, respectively. Using SVD analyses between the ozone
and meteorological data, it was found that there is a clear relationship
between the seasonal and interannual variability of ground-level ozone
over eastern China and the variability in the large-scale circulations,
which revealed by the first three SVD modes and account for 95% of the
total variance. The first SVD mode shows that the seasonal variation of
ground-level ozone over eastern China is driven by the seasonal
variation of solar radiation and East Asian summer monsoon. The second
and third SVD modes show that the anti-correlation between the NorthC
and SouthC, the ozone peaks in early spring over the coastal areas and
Taiwan are largely influenced by western Pacific subtropical high and
continental cold high events, respectively.