Multivariate model-based investigation of the temperature dependence of ozone concentration in Finnish boreal forest

Tropospheric ozone (O3) concentrations are observed to increase with temperature in urban and rural locations. We investigated the apparent dependency of daytime concentration Finnish boreal forest summertime based on long-term measurements. used statistical mixed effects models separate direct from other factors influencing this dependency, such as weather conditions, long-range transport precursors, various hydrocarbons. The 1.16 ppb °C−1 a simple linear regression was reduced 0.87 within canopy for summer data after considering these factors. In addition, our results indicated that small oxygenated volatile organic compounds may play an important role dependence O3 dataset low-NOx environment. Summertime observations were selected analysis focus environment is significantly affected by biogenic emissions. Despite limitations due selection data, highlight importance contributing concentration. show model achieves relatively good predictive accuracy without explicitly calculating all processes involved formation removal.