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@ARTICLE{Guggenmoser:276005,
      author       = {Guggenmoser, T. and Blank, J. and Kleinert, A. and Latzko,
                      T. and Ungermann, Jörn and Friedl-Vallon, F. and Höpfner,
                      M. and Kaufmann, M. and Kretschmer, E. and Maucher, G. and
                      Neubert, T. and Oelhaf, H. and Preusse, P. and Riese, M. and
                      Rongen, H. and Sha, M. K. and Sumińska-Ebersoldt, O. and
                      Tan, V.},
      title        = {{N}ew calibration noise suppression techniques for the
                      {GLORIA} limb imageriek},
      journal      = {Atmospheric measurement techniques},
      volume       = {8},
      number       = {8},
      issn         = {1867-8548},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernicus},
      reportid     = {FZJ-2015-06503},
      pages        = {3147 - 3161},
      year         = {2015},
      abstract     = {The Gimballed Limb Observer for Radiance Imaging of the
                      Atmosphere (GLORIA) presents new opportunities for the
                      retrieval of trace gases in the upper troposphere and lower
                      stratosphere. The radiometric calibration of the measured
                      signal is achieved using in-flight measurements of reference
                      blackbody and upward-pointing "deep space" scenes. In this
                      paper, we present techniques developed specifically to
                      calibrate GLORIA data exploiting the instrument's imaging
                      capability. The algorithms discussed here make use of the
                      spatial correlation of parameters across GLORIA's detector
                      pixels in order to mitigate the noise levels and artefacts
                      in the calibration measurements. This is achieved by
                      combining a priori and empirical knowledge about the
                      instrument background radiation with noise-mitigating
                      compression methods, specifically low-pass filtering and
                      principal component analysis (PCA). In addition, a new
                      software package for the processing of GLORIA data is
                      introduced which allows us to generate calibrated spectra
                      from raw measurements in a semi-automated data processing
                      chain.},
      cin          = {IEK-7},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-7-20101013},
      pnm          = {244 - Composition and dynamics of the upper troposphere and
                      middle atmosphere (POF3-244)},
      pid          = {G:(DE-HGF)POF3-244},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000360649700007},
      doi          = {10.5194/amt-8-3147-2015},
      url          = {https://juser.fz-juelich.de/record/276005},
}