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@ARTICLE{SchroedterHomscheidt:17059,
      author       = {Schroedter-Homscheidt, M. and Elbern, H. and Holzer-Popp,
                      T.},
      title        = {{O}bservation operator for the assimilation of aerosol type
                      resolving satellite measurements into a chemical transport
                      model},
      journal      = {Atmospheric chemistry and physics},
      volume       = {10},
      issn         = {1680-7316},
      address      = {Katlenburg-Lindau},
      publisher    = {EGU},
      reportid     = {PreJuSER-17059},
      pages        = {10435 - 10452},
      year         = {2010},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {Modelling of aerosol particles with chemical transport
                      models is still based mainly on static emission databases
                      while episodic emissions cannot be treated sufficiently. To
                      overcome this situation, a coupling of chemical mass
                      concentration modelling with satellite-based measurements
                      relying on physical and optical principles has been
                      developed. This study deals with the observation operator
                      for a component-wise assimilation of satellite measurements.
                      It treats aerosol particles classified into water soluble,
                      water insoluble, soot, sea salt and mineral dust containing
                      aerosol particles in the atmospheric boundary layer as
                      separately assimilated aerosol components. It builds on a
                      mapping of aerosol classes used both in observation and
                      model space taking their optical and chemical properties
                      into account. Refractive indices for primary organic carbon
                      particles, anthropogenic particles, and secondary organic
                      species have been defined based on a literature review.
                      Together with a treatment of different size distributions in
                      observations and model state, this allows transforming the
                      background from mass concentrations into aerosol optical
                      depths. A two-dimensional, variational assimilation is
                      applied for component-wise aerosol optical depths. Error
                      covariance matrices are defined based on a validation
                      against AERONET sun photometer measurements. Analysis fields
                      are assessed threefold: (1) through validation against
                      AERONET especially in Saharan dust outbreak situations, (2)
                      through comparison with the British Black Smoke and Sulphur
                      Dioxide Network for soot-containing particles, and (3)
                      through comparison with measurements of the water soluble
                      components SO4, NH4, and NO3 conducted by the EMEP (European
                      Monitoring and Evaluation Programme) network. Separately,
                      for the water soluble, the soot and the mineral dust aerosol
                      components a bias reduction and subsequent a root mean
                      square error reduction is observed in the analysis for a
                      test period from July to November 2003. Additionally,
                      examples of an improved analysis during wildfire and dust
                      outbreak situations are shown.},
      keywords     = {J (WoSType)},
      cin          = {IEK-8},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-8-20101013},
      pnm          = {Atmosphäre und Klima},
      pid          = {G:(DE-Juel1)FUEK491},
      shelfmark    = {Meteorology $\&$ Atmospheric Sciences},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000284210400018},
      doi          = {10.5194/acp-10-10435-2010},
      url          = {https://juser.fz-juelich.de/record/17059},
}