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Discussion papers
https://doi.org/10.5194/essd-2018-142
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-142
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 21 Dec 2018

Review article | 21 Dec 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Earth System Science Data (ESSD) and is expected to appear here in due course.

The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation

José Dias Neto1, Stefan Kneifel1, Davide Ori1, Silke Trömel2, Jan Handwerker3, Birger Bohn4, Normen Hermes5, Kai Mühlbauer2, Martin Lenefer2, and Clemens Simmer2 José Dias Neto et al.
  • 1Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
  • 2Meteorological Institute, University of Bonn, Bonn, Germany
  • 3Institute of Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • 4Institute of Energy and Climate Research (IEK-8), Research Centre Jülich, Jülich, Germany
  • 5Institute of Bio- and Geosciences Agrosphere (IBG-3), Research Centre Jülich, Jülich, Germany

Abstract. This study describes a two-months dataset of ground-based triple-frequency (X, Ka, and W-Band) Doppler cloud 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, offset and attenuation correction as well as quality flagging are described. The dataset contains all information needed to recover data at intermediate processing steps for user-specific applications and corrections (DOI: https://doi.org/10.5281/zenodo.1405539). The rather long time duration of the dataset allowed for a statistical analysis, which we focused on the ice and snow part of the cloud. The reflectivity differences quantified by dual-wavelength ratios revealed 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. Combining the information from reflectivity information with mean Doppler velocity and linear depolarization ratio, enables us to distinguish signatures of rimed particles and melting snowflakes; while the riming signatures agree well with results from previous studies, we find very strong aggregation signatures close to the melting layer, which have not been reported before. Mean Doppler velocity and the linear depolarization ratio have been used to separate the extreme aggregation signature from the triple-frequency characteristics of melting particles.

José Dias Neto et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
José Dias Neto et al.
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The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation dataset J. D. Neto, S. Kneifel, and D. Ori https://doi.org/10.5281/zenodo.1405539

José Dias Neto et al.
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Short summary
This study describes a two-months dataset of ground-based, vertically pointing triple-frequency cloud radar observations recorded during the winter season 2015/2016 in Jülich, Germany. An intensive quality control has been applied to the unique long-term dataset which allows for the first time to statistically analyze the multi-frequency signatures of ice and snow particles. The analysis includes for example aggregation and its dependence on cloud temperature, riming, and onset of melting.
This study describes a two-months dataset of ground-based, vertically pointing triple-frequency...
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