Surface ozone (O₃) pollution under global climate change has become one of the top environmental issues. In this study, we focused on the coastal region in Southeast China with relatively low O₃ precursor's emissions and complicated synoptic conditions, where the O₃ trends and meteorological contributions remain unclear. An increasing trend of O₃ concentrations in the cities (0.3-4.6 μg m^-3 yr^-1) from 2015 to 2020 was observed. Twenty-three synoptic patterns were clustered based on weather typing method, in which cyclone-related types and southwesterly type were generally associated with low O₃ concentrations, and high O₃ levels occurred with anticyclone-related types. Considering both frequency and intensity of synoptic patterns, reconstructed O₃ series captured 46.0%-58.3% of the observed variability. Using Kolmogorov-Zurbenko filter, an increasing trend of long-term O₃ was found. By implementing the multiple linear regression model between O₃ concentrations and meteorological factors, the meteorological contributions to O₃  variabilities (44.7%-66.1%) were quantified. The results indicated the meteorological conditions were particularly important in O₃ pollution with the reductions of O₃ precursor's emissions, among which relative humidity, boundary layer height, solar radiation along with low cloud cover were proved to play important roles. The weakening southwest winds along with more anti-cyclone systems under climate change could increase surface O₃. This study elucidated the crucial meteorological drivers on the O₃ variability in relatively clean areas and implied the challenges for local governments to mitigate O₃ pollution under global climate change.