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@ARTICLE{Hubert:276519,
      author       = {Hubert, D. and Lambert, J.-C. and Verhoelst, T. and
                      Granville, J. and Keppens, A. and Baray, J.-L. and Cortesi,
                      U. and Degenstein, D. A. and Froidevaux, L. and
                      Godin-Beekmann, S. and Hoppel, K. W. and Kyrölä, E. and
                      Leblanc, T. and Lichtenberg, G. and McElroy, C. T. and
                      Murtagh, D. and Nakane, H. and Russell III, J. M. and
                      Salvador, J. and Smit, Herman G.J. and Stebel, K. and
                      Steinbrecht, W. and Strawbridge, K. B. and Stübi, R. and
                      Swart, D. P. J. and Taha, G. and Thompson, A. M. and Urban,
                      J. and van Gijsel, J. A. E. and von der Gathen, P. and
                      Walker, K. A. and Wolfram, E. and Zawodny, J. M.},
      title        = {{G}round-based assessment of the bias and long-term
                      stability of fourteen limb and occultation ozone profile
                      data records},
      journal      = {Atmospheric measurement techniques discussions},
      volume       = {8},
      number       = {7},
      issn         = {1867-8610},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernicus},
      reportid     = {FZJ-2015-06921},
      pages        = {6661 - 6757},
      year         = {2015},
      abstract     = {The ozone 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 make a systematic
                      assessment of fourteen limb and occultation sounders that,
                      together, provide more than three decades of global ozone
                      profile measurements. In particular, we consider 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 harmonized and robust analysis of the comparisons
                      against the ground-based ozonesonde and stratospheric ozone
                      lidar networks. It allows us to investigate, from the ground
                      up to the stratopause, the following main aspects of data
                      quality: long-term stability, overall bias, and short-term
                      variability, together with their dependence on geophysical
                      parameters and profile representation. In addition, it
                      permits us to quantify the overall consistency between the
                      ozone profilers. Generally, we find that between 20–40 km,
                      the satellite ozone measurement biases are smaller than ±5
                      $\%,$ the short-term variabilities are better than 5–12
                      $\%$ and the drifts are at most ±5 $\%$ decade−1 (and ±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 abundancies impede a more precise
                      analysis. A few records deviate from the preceding general
                      remarks, in part of the stratosphere; we identify 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 reflect 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},
      pubmed       = {29743958},
      doi          = {10.5194/amtd-8-6661-2015},
      url          = {https://juser.fz-juelich.de/record/276519},
}