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Identifying the effects of meteorological conditions on PM 2.5 pollution is of great significance to explore methods to reduce atmospheric pollution. This study attempts to analyze the spatiotemporal variations of PM 2.5 pollution and its dynamic nexus with meteorological factors in the Beijing-Tianjin-Hebei (BTH) region from 2015 to 2020 using standard deviation ellipse (SDE) and panel vector autoregressive (PVAR) model. The results indicate that: (1) In 2015-2020, PM 2.5 pollution decreased significantly, indicating air pollution control policies in China have taken effect; Also, it showed a cumulative effect, or there was the path dependence of air pollution. (2) PM 2.5 pollution presented a distribution pattern from northeast to southwest, while the directionality of air pollution has weakened. Based on SDE, PM 2.5 pollution in Cangzhou can reflect the average level in the BTH; (3) Meteorological conditions exhibited a lagged and sustained effect on PM 2.5 pollution. Specifically, the effects of meteorological factors on PM 2.5 presented disequilibrium over time. In the long run, precipitation and temperature mainly showed negative impacts on PM 2.5 pollution, while wind speed, relative humidity and sunshine duration aggravated PM 2.5 pollution in the BTH. This study contributes to extending the study on the spatiotemporal evolution of PM 2.5 pollution and its links with meteorological conditions., (Copyright © 2022 Elsevier Ltd. All rights reserved.)