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@ARTICLE{Hubert:810124,
      author       = {Hubert, Daan and Lambert, Jean-Christopher and Verhoelst,
                      Tijl and Granville, José and Keppens, Arno and Baray,
                      Jean-Luc and Bourassa, Adam E. and Cortesi, Ugo and
                      Degenstein, Doug A. and Froidevaux, Lucien and
                      Godin-Beekmann, Sophie and Hoppel, Karl W. and Johnson,
                      Bryan J. and Kyrölä, Erkki and Leblanc, Thierry and
                      Lichtenberg, Günter and Marchand, Marion and McElroy, C.
                      Thomas and Murtagh, Donal and Nakane, Hideaki and Portafaix,
                      Thierry and Querel, Richard and Russell III, James M. and
                      Salvador, Jacobo and Smit, Herman G.J. and Stebel, Kerstin
                      and Steinbrecht, Wolfgang and Strawbridge, Kevin B. and
                      Stübi, René and Swart, Daan P. J. and Taha, Ghassan and
                      Tarasick, David W. and Thompson, Anne M. and Urban, Joachim
                      and van Gijsel, Joanna A. E. and Van Malderen, Roeland and
                      von der Gathen, Peter and Walker, Kaley A. and Wolfram,
                      Elian and Zawodny, Joseph M.},
      title        = {{G}round-based assessment of the bias and long-term
                      stability of 14 limb and occultation ozone profile data
                      records},
      journal      = {Atmospheric measurement techniques},
      volume       = {9},
      number       = {6},
      issn         = {1867-8548},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernicus},
      reportid     = {FZJ-2016-02999},
      pages        = {2497 - 2534},
      year         = {2016},
      abstract     = {profile records of a large number of limb and occultation
                      satellite instruments are widely used to address several key
                      questions in ozone research. Further progress in some
                      domains depends on a more detailed understanding of these
                      data sets, especially of their long-term stability and their
                      mutual consistency. To this end, we made a systematic
                      assessment of 14 limb and occultation sounders that,
                      together, provide more than three decades of global ozone
                      profile measurements. In particular, we considered the
                      latest operational Level-2 records by SAGE II, SAGE III,
                      HALOE, UARS MLS, Aura MLS, POAM II, POAM III, OSIRIS, SMR,
                      GOMOS, MIPAS, SCIAMACHY, ACE-FTS and MAESTRO. Central to our
                      work is a consistent and robust analysis of the comparisons
                      against the ground-based ozonesonde and stratospheric ozone
                      lidar networks. It allowed us to investigate, from the
                      troposphere up to the stratopause, the following main
                      aspects of satellite data quality: long-term stability,
                      overall bias and short-term variability, together with their
                      dependence on geophysical parameters and profile
                      representation. In addition, it permitted us to quantify the
                      overall consistency between the ozone profilers. Generally,
                      we found that between 20 and 40 km the satellite ozone
                      measurement biases are smaller than $±5 \%,$ the
                      short-term variabilities are less than $5–12 \%$ and the
                      drifts are at most $±5 \% decade−1$ (or even
                      $±3 \% decade−1$ for a few records). The agreement
                      with ground-based data degrades somewhat towards the
                      stratopause and especially towards the tropopause where
                      natural variability and low ozone abundances impede a more
                      precise analysis. In part of the stratosphere a few records
                      deviate from the preceding general conclusions; we
                      identified biases of $10 \%$ and more (POAM II and
                      SCIAMACHY), markedly higher single-profile variability (SMR
                      and SCIAMACHY) and significant long-term drifts (SCIAMACHY,
                      OSIRIS, HALOE and possibly GOMOS and SMR as well).
                      Furthermore, we reflected on the repercussions of our
                      findings for the construction, analysis and interpretation
                      of merged data records. Most notably, the discrepancies
                      between several recent ozone profile trend assessments can
                      be mostly explained by instrumental drift. This clearly
                      demonstrates the need for systematic comprehensive
                      multi-instrument comparison analyses.},
      cin          = {IEK-8},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-8-20101013},
      pnm          = {243 - Tropospheric trace substances and their
                      transformation processes (POF3-243)},
      pid          = {G:(DE-HGF)POF3-243},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000379397100004},
      pubmed       = {pmid:29743958},
      doi          = {10.5194/amt-9-2497-2016},
      url          = {https://juser.fz-juelich.de/record/810124},
}