% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Gaudel:278906,
      author       = {Gaudel, Audrey and Clark, Hannah and Thouret, Valerie and
                      Jones, Luke and Inness, Antje and Flemming, Johannes and
                      Stein, Olaf and Huijnen, Vincent and Eskes, Henk and
                      Nedelec, Philippe and Boulanger, Damien},
      title        = {{O}n the use of {MOZAIC}-{IAGOS} data to assess the ability
                      of the {MACC} reanalysis to reproduce the distribution of
                      ozone and {CO} in the {UTLS} over {E}urope},
      journal      = {Tellus / B},
      volume       = {67},
      number       = {0},
      issn         = {1600-0889},
      address      = {Stockholm},
      publisher    = {Inst.},
      reportid     = {FZJ-2015-07082},
      pages        = {27955},
      year         = {2015},
      abstract     = {MOZAIC-IAGOS data are used to assess the ability of the
                      MACC reanalysis (REAN) to reproduce distributions of ozone
                      (O3) and carbon monoxide (CO), along with vertical and
                      inter-annual variability in the upper troposphere/lower
                      stratosphere region (UTLS) over Europe for the period
                      2003–2010. A control run (CNTRL, without assimilation) is
                      compared with the MACC reanalysis (REAN, with assimilation)
                      to assess the impact of assimilation. On average over the
                      period, REAN underestimates ozone by 60 ppbv in the lower
                      stratosphere (LS), whilst CO is overestimated by 20 ppbv. In
                      the upper troposphere (UT), ozone is overestimated by 50
                      ppbv, while CO is partly over or underestimated by up to 20
                      ppbv. As expected, assimilation generally improves model
                      results but there are some exceptions. Assimilation leads to
                      increased CO mixing ratios in the UT which reduce the biases
                      of the model in this region but the difference in CO mixing
                      ratios between LS and UT has not changed and remains
                      underestimated after assimilation. Therefore, this leads to
                      a significant positive bias of CO in the LS after
                      assimilation. Assimilation improves estimates of the
                      amplitude of the seasonal cycle for both species.
                      Additionally, the observations clearly show a general
                      negative trend of CO in the UT which is rather well
                      reproduced by REAN. However, REAN misses the observed
                      inter-annual variability in summer. The O3–CO correlation
                      in the Ex-UTLS is rather well reproduced by the CNTRL and
                      REAN, although REAN tends to miss the lowest CO mixing
                      ratios for the four seasons and tends to oversample the
                      extra-tropical transition layer (ExTL region) in spring.
                      This evaluation stresses the importance of the model
                      gradients for a good description of the mixing in the
                      Ex-UTLS region, which is inherently difficult to observe
                      from satellite instruments.},
      cin          = {IEK-8 / JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-8-20101013 / I:(DE-Juel1)JSC-20090406},
      pnm          = {243 - Tropospheric trace substances and their
                      transformation processes (POF3-243) / 511 - Computational
                      Science and Mathematical Methods (POF3-511) / MACC-III -
                      Monitoring Atmospheric Composition and Climate -III (633080)
                      / IAGOS-D - In-Service Aircraft for a Global Observing
                      System – German Contribution to the Main Phase of IAGOS
                      (BMBF-20180331-IAGOSD)},
      pid          = {G:(DE-HGF)POF3-243 / G:(DE-HGF)POF3-511 /
                      G:(EU-Grant)633080 / G:(DE-82)BMBF-20180331-IAGOSD},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000365974100001},
      doi          = {10.3402/tellusb.v67.27955},
      url          = {https://juser.fz-juelich.de/record/278906},
}