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@ARTICLE{Fountoukis:186555,
      author       = {Fountoukis, C. and Megaritis, A. G. and Skyllakou, K. and
                      Charalampidis, P. E. and Pilinis, C. and Denier van der Gon,
                      H. A. C. and Crippa, M. and Canonaco, F. and Mohr, C. and
                      Prévôt, A. S. H. and Allan, J. D. and Poulain, L. and
                      Petäjä, T. and Tiitta, P. and Carbone, S. and
                      Kiendler-Scharr, A. and Nemitz, E. and O'Dowd, C. and
                      Swietlicki, E. and Pandis, S. N.},
      title        = {{O}rganic aerosol concentration and composition over
                      {E}urope: insights from comparison of regional model
                      predictions with aerosol mass spectrometer factor analysis},
      journal      = {Atmospheric chemistry and physics},
      volume       = {14},
      number       = {17},
      issn         = {1680-7324},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {FZJ-2015-00628},
      pages        = {9061 - 9076},
      year         = {2014},
      abstract     = {A detailed three-dimensional regional chemical transport
                      model (Particulate Matter Comprehensive Air Quality Model
                      with Extensions, PMCAMx) was applied over Europe, focusing
                      on the formation and chemical transformation of organic
                      matter. Three periods representative of different seasons
                      were simulated, corresponding to intensive field campaigns.
                      An extensive set of AMS measurements was used to evaluate
                      the model and, using factor-analysis results, gain more
                      insight into the sources and transformations of organic
                      aerosol (OA). Overall, the agreement between predictions and
                      measurements for OA concentration is encouraging, with the
                      model reproducing two-thirds of the data (daily average mass
                      concentrations) within a factor of 2. Oxygenated OA (OOA) is
                      predicted to contribute $93\%$ to total OA during May,
                      $87\%$ during winter and $96\%$ during autumn, with the rest
                      consisting of fresh primary OA (POA). Predicted OOA
                      concentrations compare well with the observed OOA values for
                      all periods, with an average fractional error of 0.53 and a
                      bias equal to −0.07 (mean error = 0.9 μg m−3, mean bias
                      = −0.2 μg m−3). The model systematically underpredicts
                      fresh POA at most sites during late spring and autumn (mean
                      bias up to −0.8 μg m−3). Based on results from a source
                      apportionment algorithm running in parallel with PMCAMx,
                      most of the POA originates from biomass burning (fires and
                      residential wood combustion), and therefore biomass burning
                      OA is most likely underestimated in the emission inventory.
                      The sensitivity of POA predictions to the corresponding
                      emissions' volatility distribution is discussed. The model
                      performs well at all sites when the Positive Matrix
                      Factorization (PMF)-estimated low-volatility OOA is compared
                      against the OA with saturation concentrations of the OA
                      surrogate species C* ≤ 0.1 μg m−3 and semivolatile OOA
                      against the OA with C* > 0.1 μg m−3.},
      cin          = {IEK-8},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-8-20101013},
      pnm          = {233 - Trace gas and aerosol processes in the troposphere
                      (POF2-233)},
      pid          = {G:(DE-HGF)POF2-233},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000341992000014},
      doi          = {10.5194/acp-14-9061-2014},
      url          = {https://juser.fz-juelich.de/record/186555},
}