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@ARTICLE{ToengesSchuller:49906,
      author       = {Toenges-Schuller, N. and Stein, O. and Rohrer, F. and
                      Wahner, A. and Richter, A. and Burrows, J. P. and Beirle, S.
                      and Wagner, T. and Platt, U. and Elvidge, J. M.},
      title        = {{G}lobal distribution pattern of anthropogenic nitrogen
                      oxide emissions: {C}orrelation analysis of satellite
                      measurements and model calculations},
      journal      = {Journal of Geophysical Research},
      volume       = {111},
      issn         = {0148-0227},
      address      = {Washington, DC},
      publisher    = {Union},
      reportid     = {PreJuSER-49906},
      pages        = {D05312},
      year         = {2006},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {[1] Nitrogen oxides play a key role in tropospheric
                      chemistry; to study the distribution patterns of the
                      corresponding anthropogenic emissions ( fossil, industrial,
                      waste), we use three independent data sources: GOME
                      measurements of the tropospheric NO2 column density fields,
                      the EDGAR 3 emission inventory as an estimation of the
                      anthropogenic NOx emissions and nighttime images of
                      worldwide human settlements seen by the DMSP OLS satellite
                      instrument as a proxy for these emission patterns. The
                      uncertainties are not known precisely for any of the fields.
                      Using the MOZART-2 CTM, tropospheric column density fields
                      are calculated from the emission estimates, and
                      transformations are developed to turn the GOME columns into
                      anthropogenic emission fields. Assuming the errors of the
                      three data sources ( GOME, EDGAR, lights) to be independent,
                      we are able to determine ranges for the pattern errors of
                      the column density fields and values for the pattern errors
                      of the source fields by a correlation analysis that connects
                      relative error (co) variances and correlation coefficients.
                      That method was developed for this investigation but can
                      generally be used to calculate relative error variances of
                      data sets, if the errors of at least three of them can be
                      assumed to be independent. We estimate the pattern error of
                      the EDGAR 3 anthropogenic NOx emission field as ( 27 +/-
                      $5)\%,$ which can be reduced by combining all fields to ( 15
                      +/- $3)\%.$ By determining outliers, we identify locations
                      with high uncertainty that need further examination.},
      keywords     = {J (WoSType)},
      cin          = {ICG-II / JARA-ENERGY},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB48 / $I:(DE-82)080011_20140620$},
      pnm          = {Atmosphäre und Klima},
      pid          = {G:(DE-Juel1)FUEK406},
      shelfmark    = {Meteorology $\&$ Atmospheric Sciences},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000236270600001},
      doi          = {10.1029/2005JD006068},
      url          = {https://juser.fz-juelich.de/record/49906},
}