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Ozone is an important pollutant and greenhouse gas, and tropospheric ozonevariations are generally associated with both natural and anthropogenicprocesses. As one of the most pristine and inaccessible regions in theworld, the Tibetan Plateau has been considered as an ideal region forstudying processes of the background atmosphere. Due to the vast area of theTibetan Plateau, sites in the southern, northern and central regions exhibitdifferent patterns of variation in surface ozone. Here, we presentcontinuous measurements of surface ozone mixing ratios at Nam Co Stationover a period of  ∼ 5 years (January 2011 to October 2015),which is a background site in the inland Tibetan Plateau. An average surfaceozone mixing ratio of 47.6 ± 11.6 ppb (mean ± standard deviation)was recorded, and a large annual cycle was observed with maximum ozonemixing ratios in the spring and minimum ratios during the winter. Thediurnal cycle is characterized by a minimum in the early morning and amaximum in the late afternoon. Nam Co Station represents a background regionwhere surface ozone receives negligible local anthropogenic emissionsinputs, and the anthropogenic contribution from South Asia in spring andChina in summer may affect Nam Co Station occasionally. Surface ozone at NamCo Station is mainly dominated by natural processes involving photochemicalreactions, vertical mixing and downward transport of stratospheric air mass.Model results indicate that the study site is affected differently by thesurrounding areas in different seasons: air masses from the southern TibetanPlateau contribute to the high ozone levels in the spring, and enhanced ozonelevels in the summer are associated with air masses from the northernTibetan Plateau. By comparing measurements at Nam Co Station with those fromother sites on the Tibetan Plateau, we aim to expand the understanding ofozone cycles and transport processes over the Tibetan Plateau. This work mayprovide a reference for future model simulations

Surface ozone at Nam Co in the inland Tibetan Plateau: variation, synthesis comparison and regional representativeness