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ESSD | Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 845–863, 2019
https://doi.org/10.5194/essd-11-845-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 11, 845–863, 2019
https://doi.org/10.5194/essd-11-845-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 14 Jun 2019

Review article | 14 Jun 2019

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

José Dias Neto et al.
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Baldini, L. and Gorgucci, E.: Identification of the Melting Layer through Dual-Polarization Radar Measurements at Vertical Incidence, J. Atmos. Ocean. Tech., 23, 829–839, https://doi.org/10.1175/JTECH1884.1, 2006. a
Chase, R. J., Finlon, J. A., Borque, P., McFarquhar, G. M., Nesbitt, S. W., Tanelli, S., Sy, O. O., Durden, S. L., and Poellot, M. R.: Evaluation of Triple-Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX, Geophys. Res. Lett., 45, 5752–5760, https://doi.org/10.1029/2018GL077997, 2018. a
Dias Neto, J., Kneifel, S., and Ori, D.: The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (version 2) [Data set], Zenodo, https://doi.org/10.5281/zenodo.1341390, 2019. a, b
Diederich, M., Ryzhkov, A., Simmer, C., Zhang, P., and Trömel, S.: Use of Specific Attenuation for Rainfall Measurement at X-Band Radar Wavelengths. Part I: Radar Calibration and Partial Beam Blockage Estimation, J. Hydrometeorol., 16, 487–502, https://doi.org/10.1175/JHM-D-14-0066.1, 2015. a
Gergely, M., Cooper, S. J., and Garrett, T. J.: Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures, Atmos. Chem. Phys., 17, 12011–12030, https://doi.org/10.5194/acp-17-12011-2017, 2017. a, b, c
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This study describes a 2-month dataset of ground-based, vertically pointing triple-frequency cloud radar observations recorded during the winter season 2015/2016 in Jülich, Germany. Intensive quality control has been applied to the unique long-term dataset, which allows the multifrequency signatures of ice and snow particles to be statistically analyzed for the first time. The analysis includes, for example, aggregation and its dependence on cloud temperature, riming, and onset of melting.
This study describes a 2-month dataset of ground-based, vertically pointing triple-frequency...
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