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@ARTICLE{Huijnen:874708,
      author       = {Huijnen, Vincent and Miyazaki, Kazuyuki and Flemming,
                      Johannes and Inness, Antje and Sekiya, Takashi and Schultz,
                      Martin G.},
      title        = {{A}n intercomparison of tropospheric ozone reanalysis
                      products from {CAMS}, {CAMS} interim, {TCR}-1, and {TCR}-2},
      journal      = {Geoscientific model development},
      volume       = {13},
      number       = {3},
      issn         = {1991-9603},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernicus},
      reportid     = {FZJ-2020-01623},
      pages        = {1513 - 1544},
      year         = {2020},
      abstract     = {Global tropospheric ozone reanalyses constructed using
                      different state-of-the-art satellite data assimilation
                      systems, prepared as part of the Copernicus Atmosphere
                      Monitoring Service (CAMS-iRean and CAMS-Rean) as well as two
                      fully independent reanalyses (TCR-1 and TCR-2, Tropospheric
                      Chemistry Reanalysis), have been intercompared and evaluated
                      for the past decade. The updated reanalyses (CAMS-Rean and
                      TCR-2) generally show substantially improved agreements with
                      independent ground and ozone-sonde observations over their
                      predecessor versions (CAMS-iRean and TCR-1) for diurnal,
                      synoptical, seasonal, and interannual variabilities. For
                      instance, for the Northern Hemisphere (NH) mid-latitudes the
                      tropospheric ozone columns (surface to 300 hPa) from the
                      updated reanalyses show mean biases to within 0.8 DU
                      (Dobson units, $3 \%$ relative to the observed column)
                      with respect to the ozone-sonde observations. The improved
                      performance can likely be attributed to a mixture of various
                      upgrades, such as revisions in the chemical data
                      assimilation, including the assimilated measurements, and
                      the forecast model performance. The updated chemical
                      reanalyses agree well with each other for most cases, which
                      highlights the usefulness of the current chemical reanalyses
                      in a variety of studies. Meanwhile, significant temporal
                      changes in the reanalysis quality in all the systems can be
                      attributed to discontinuities in the observing systems. To
                      improve the temporal consistency, a careful assessment of
                      changes in the assimilation configuration, such as a
                      detailed assessment of biases between various retrieval
                      products, is needed. Our comparison suggests that improving
                      the observational constraints, including the continued
                      development of satellite observing systems, together with
                      the optimization of model parameterizations such as
                      deposition and chemical reactions, will lead to increasingly
                      consistent long-term reanalyses in the future.},
      cin          = {JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {512 - Data-Intensive Science and Federated Computing
                      (POF3-512) / Earth System Data Exploration (ESDE)},
      pid          = {G:(DE-HGF)POF3-512 / G:(DE-Juel-1)ESDE},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000522156800001},
      doi          = {10.5194/gmd-13-1513-2020},
      url          = {https://juser.fz-juelich.de/record/874708},
}