Influence of biomass burning vapor wall loss correction on modeling organic aerosols in Europe by CAMx v6.50

Abstract. Increasing evidence from experimental studies suggests that the losses of semi-volatile vapors to chamber walls could be responsible for underestimation organic aerosol (OA) in air quality models use parameters obtained experiments. In this study, a box model with volatility basis set (VBS) scheme was developed, and secondary (SOA) yields vapor wall loss correction were optimized by genetic algorithm based on advanced data biomass burning. The increases SOA factor 1.9–4.9 leads better agreement measured OA 14 experiments under different temperatures emission loads. To investigate influence regional simulations, parameterizations (SOA yields, emissions intermediate-volatility compounds burning, enthalpy vaporization) implemented CAMx (Comprehensive Air Quality Model extensions). results VBS schemes standard (VBS_BASE) vapor-wall-loss-corrected (VBS_WLS), as well traditional two-product approach, compared evaluated measurements five Aerodyne chemical speciation monitor (ACSM) or mass spectrometer (AMS) stations winter 2011. An additional reference scenario, VBS_noWLS, also developed using same parameterization VBS_WLS except which assuming there is no loss. generally shows best performance predicting among all reduces mean fractional bias ?72.9 % ?1.6 OA. Europe, produces highest domain average (2.3 µg m?3), 106.6 26.2 higher than VBS_BASE respectively. Compared an increase up ?80 (in Balkans). between modeled fraction (fSOA) estimated values literature. substantial Europe highlights importance further improvements laboratory wider range conditions field observations spatial temporal coverage.