% 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{Dekoutsidis:1005346,
      author       = {Dekoutsidis, Georgios and Groß, Silke and Wirth, Martin
                      and Krämer, Martina and Rolf, Christian},
      title        = {{C}haracteristics of supersaturation in midlatitude cirrus
                      clouds and their adjacent cloud-free air},
      journal      = {Atmospheric chemistry and physics},
      volume       = {23},
      number       = {5},
      issn         = {1680-7316},
      address      = {Kaltenburg-Lindau},
      publisher    = {EGU},
      reportid     = {FZJ-2023-01452},
      pages        = {3103 - 3117},
      year         = {2023},
      abstract     = {Water vapor measurements of midlatitude cirrus clouds,
                      obtained by the WAter vapour Lidar Experiment in Space
                      (WALES) lidar system during the Mid-Latitude Cirrus
                      (ML-CIRRUS) airborne campaign, which took place in the
                      spring of 2014 over central Europe and the NE Atlantic
                      Ocean, are combined with model temperatures from the
                      European Centre for Medium-Range Weather Forecasts (ECMWF)
                      and analyzed. Our main focus is to derive the distribution
                      and temporal evolution of humidity with respect to ice
                      within cirrus clouds and in their adjacent cloud-free air.
                      We find that $34.1 \%$ of in-cloud data points are
                      supersaturated with respect to ice. Supersaturation is also
                      detected in $6.8 \%$ of the cloud-free data points. When
                      the probability density of the relative humidity over ice
                      (RHi) is calculated with respect to temperature for the
                      in-cloud data points from the ML-CIRRUS dataset, there are
                      two peaks: one around 225 K and close to saturation,
                      $RHi = 100 \%,$ and a second one at colder
                      temperatures around 218 K in subsaturation,
                      $RHi = 79 \%.$ These two regions seem to represent two
                      cirrus cloud categories: in situ formed and liquid origin.
                      Regarding their vertical structure, most clouds have higher
                      supersaturations close to the cloud top and become
                      subsaturated near the cloud bottom. Finally, we find that
                      the vertical structure of RHi within the clouds is also
                      indicative of their life stage. RHi skewness tends to go
                      from positive to negative values as the cloud ages. RHi
                      modes are close to saturation in young clouds,
                      supersaturated in mature clouds and subsaturated in
                      dissipating clouds.},
      cin          = {IEK-7},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IEK-7-20101013},
      pnm          = {2112 - Climate Feedbacks (POF4-211)},
      pid          = {G:(DE-HGF)POF4-2112},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000946215800001},
      doi          = {10.5194/acp-23-3103-2023},
      url          = {https://juser.fz-juelich.de/record/1005346},
}