Fine　particulate　matter　(PM2.5)　concentration　that　exceeds　standards　is　causing　poor　air　quality　in　most　Chinese　cities.　Meteorological　conditions　are　an　important　factor　affecting　PM2.5　concentration,　but　few　quantitative　studies　have　been　conducted　on　the　effects　of　long-term　and　large-scale　changes　in　meteorological　factors　on　PM2.5　pollution.　In　this　study,　a　Weather　Research　and　Forecasting/Community　Multiscale　Air　Quality　(WRF/CMAQ)　modeling　system　was　applied　to　study　the　spatial　and　temporal　distributions　of　the　impact　of　meteorological　conditions　on　PM2.5　pollution　in　China　from　2000　to　2017.　During　the　study　period,　Me-PM2.5　decreased　in　general　(P　=　0.0018)　in　nationwide,　and　showed　significant　spatiotemporal　variations.　There　was　an　overall　increasing　trend　for　Beijing,　Fujian,　Shaanxi,　Gansu,　and　Qinghai　provinces　(P　＜　0.05)　as　the　meteorological　conditions　deteriorated,　and　there　was　an　overall　negative　trend　for　nine　provinces　(P　＜　0.05)　which　indicated　meteorological　conditions　were　causing　a　decrease　in　concentrations.　Substantial　differences　in　the　impact　of　meteorological　changes　on　PM2.5　pollution　were　observed　across　the　provinces,　with　FMe-PM2.5　(fluctuating　range　of　Me-PM2.5)　between　9.3%　and　55.1%.　In　addition,　the　best,　typical,　and　worst　meteorological　years　were　selected　based　on　Me-PM2.5;　these　should　be　considered　when　setting　air　quality　goals　and　pollution　control　plans.