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@ARTICLE{Schneider:1033591,
      author       = {Schneider, Matthias and Toride, Kinya and Khosrawi,
                      Farahnaz and Hase, Frank and Ertl, Benjamin and Diekmann,
                      Christopher J. and Yoshimura, Kei},
      title        = {{A}ssessing the potential of free-tropospheric water vapour
                      isotopologue satellite observations for improving the
                      analyses of convective events},
      journal      = {Atmospheric measurement techniques},
      volume       = {17},
      number       = {17},
      issn         = {1867-1381},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernicus},
      reportid     = {FZJ-2024-06471},
      pages        = {5243 - 5259},
      year         = {2024},
      abstract     = {Satellite-based observations of free-tropospheric water
                      vapour isotopologue ratios (HDO  H2O, expressed in form
                      of the δ value δD) with good global and temporal coverage
                      have become available recently. We investigate the potential
                      of these observations for constraining the uncertainties of
                      the atmospheric analyses fields of specific humidity (q),
                      temperature (T), and δD and of variables that capture
                      important properties of the atmospheric water cycle, namely
                      the vertical velocity (ω), the latent heating rate (Q2),
                      and the precipitation rate (Prcp). Our focus is on the
                      impact of the δD observations relative to the impact
                      achieved by the observation of q and T, which are much more
                      easily observed by satellites and are routinely in use for
                      atmospheric analyses. For our investigations we use an
                      Observing System Simulation Experiment; i.e. we simulate the
                      satellite observations of q, T, and δD with known
                      uncertainties and coverage (e.g. observations are not
                      available for cloudy conditions, i.e. at locations where the
                      atmosphere is vertically unstable). Then we use the
                      simulated observations within a Kalman-filter-based
                      assimilation framework in order to evaluate their potential
                      for improving the quality of atmospheric analyses. The study
                      is made for low latitudes (30° S to 30° N) and for
                      40 d between mid-July and the end of August 2016. We find
                      that q observations generally have the largest impacts on
                      the analyses' quality and that T observations have stronger
                      impacts overall than δD observations. We show that there is
                      no significant impact of δD observations for stable
                      atmospheric conditions; however, for very unstable
                      conditions, the impact of δD observations is significant
                      and even slightly stronger than the respective impact of T
                      observations. Very unstable conditions are rare but are
                      related to extreme events (e.g. storms, flooding); i.e. the
                      δD observations significantly impact the analyses' quality
                      of the events that have the largest societal consequences.
                      The fact that no satellite observations are available at the
                      location and time of the unstable conditions indicates a
                      remote impact of δD observations that are available
                      elsewhere. Concerning real-world applications, we conclude
                      that the situation of δD satellite observations is very
                      promising but that further improving the model's linkage
                      between convective processes and the larger-scale δD fields
                      might be needed for optimizing the assimilation impact of
                      real-world δD observations.},
      cin          = {JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / DFG project
                      G:(GEPRIS)416767181 - TEsten von Isotopologen als
                      Diabatischer Heizratenindikator für atmosphärische
                      DatenanalYsen (416767181)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(GEPRIS)416767181},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001306363400001},
      doi          = {10.5194/amt-17-5243-2024},
      url          = {https://juser.fz-juelich.de/record/1033591},
}