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@ARTICLE{DiasNeto:864348,
      author       = {Dias Neto, José and Kneifel, Stefan and Ori, Davide and
                      Trömel, Silke and Handwerker, Jan and Bohn, Birger and
                      Hermes, Normen and Mühlbauer, Kai and Lenefer, Martin and
                      Simmer, Clemens},
      title        = {{T}he {TRI}ple-frequency and {P}olarimetric radar
                      {E}xperiment for improving process observations of winter
                      precipitation},
      journal      = {Earth system science data},
      volume       = {11},
      number       = {2},
      issn         = {1866-3516},
      address      = {Katlenburg-Lindau},
      publisher    = {Copernics Publications},
      reportid     = {FZJ-2019-04144},
      pages        = {845 - 863},
      year         = {2019},
      abstract     = {This paper describes a 2-month dataset of ground-based
                      triple-frequency (X, Ka, and W band) Doppler radar
                      observations during the winter season obtained at the
                      Jülich ObservatorY for Cloud Evolution Core Facility
                      (JOYCE-CF), Germany. All relevant post-processing steps,
                      such as re-gridding and offset and attenuation correction,
                      as well as quality flagging, are described. The dataset
                      contains all necessary information required to recover data
                      at intermediate processing steps for user-specific
                      applications and corrections
                      (https://doi.org/10.5281/zenodo.1341389; Dias Neto et al.,
                      2019). The large number of ice clouds included in the
                      dataset allows for a first statistical analysis of their
                      multifrequency radar signatures. The reflectivity
                      differences quantified by dual-wavelength ratios (DWRs)
                      reveal temperature regimes where aggregation seems to be
                      triggered. Overall, the aggregation signatures found in the
                      triple-frequency space agree with and corroborate
                      conclusions from previous studies. The combination of DWRs
                      with mean Doppler velocity and linear depolarization ratio
                      enables us to distinguish signatures of rimed particles and
                      melting snowflakes. The riming signatures in the DWRs agree
                      well with results found in previous triple-frequency
                      studies. Close to the melting layer, however, we find very
                      large DWRs (up to 20 dB), which have not been reported
                      before. A combined analysis of these extreme DWR with mean
                      Doppler velocity and a linear depolarization ratio allows
                      this signature to be separated, which is most likely related
                      to strong aggregation, from the triple-frequency
                      characteristics of melting particles.},
      cin          = {IBG-3 / ICE-3 / IEK-8},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)ICE-3-20101013 /
                      I:(DE-Juel1)IEK-8-20101013},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000471617400001},
      doi          = {10.5194/essd-11-845-2019},
      url          = {https://juser.fz-juelich.de/record/864348},
}