The typical compound pollution of PM_2.5 and O₃ in Baoding City was investigated in this study. Objective weather classification of sea-level pressure and 10m wind fields in the Beijing-Tianjin-Hebei region during the autumn-winter and spring-summer seasons was conducted using the Principal Component T-mode (PCT) method. Backward trajectory analysis (PSCF, CWT) and meteorological-air quality modeling system (WRF-CAMx) were applied to identify the source contributions and transport pathways of PM_2.5 and O₃ under pollution-related weather types. From 2019 to 2022, the annual average PM_2.5 concentration in Baoding showed a significant decline of 26.9%, whereas O₃ exhibited a fluctuating trend with a slight reduction of only 2.2%, indicating limited improvement. Monthly average concentrations of both pollutants demonstrated pronounced seasonal patterns. In autumn and winter, high-pressure systems dominated, and weather types T5 (eastern high-pressure rear, 11.6%), T6 (saddle-type, 11.6%), and T9 (isobaric field, 5.2%) were most frequently associated with PM_2.5 pollution events. In contrast, low-pressure systems prevailed in spring and summer, with weather types S3 (isobaric field, 12.9%) and S7 (northwest low-pressure rear, 16.8%) contributing notably to O₃ pollution. Local emissions were identified as the dominant source of PM_2.5 during pollution weather types. Under T5, additional contributions originated mainly from Handan and Shijiazhuang; under T6, from Shanxi Province and Shijiazhuang; and under T9, from Shanxi and Inner Mongolia. For O₃ pollution, local sources accounted for the largest share. Under S3, transport from surrounding cities played a secondary role, whereas under S7, contributions from southwestern regions, including Henan, Handan, Shanxi, and Shijiazhuang, were more prominent.