Articles | Volume 11, issue 2
https://doi.org/10.5194/essd-11-845-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-845-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The TRIple-frequency and Polarimetric radar Experiment for improving process observations of winter precipitation
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Stefan Kneifel
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Davide Ori
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Silke Trömel
Institute for Geosciences and Meteorology, University of Bonn, Bonn, Germany
Jan Handwerker
Institute of Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Birger Bohn
Institute of Energy and Climate Research (IEK-8), Research Centre Jülich, Jülich, Germany
Normen Hermes
Institute of Bio- and Geosciences
Agrosphere (IBG-3), Research Centre Jülich, Jülich, Germany
Kai Mühlbauer
Institute for Geosciences and Meteorology, University of Bonn, Bonn, Germany
Martin Lenefer
Institute for Geosciences and Meteorology, University of Bonn, Bonn, Germany
Clemens Simmer
Institute for Geosciences and Meteorology, University of Bonn, Bonn, Germany
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32 citations as recorded by crossref.
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- The importance of particle size distribution and internal structure for triple-frequency radar retrievals of the morphology of snow S. Mason et al. 10.5194/amt-12-4993-2019
- Five years calibrated observations from the University of Bonn X-band weather radar (BoXPol) V. Pejcic et al. 10.1038/s41597-022-01656-0
- Evaluation of the reflectivity calibration of W-band radars based on observations in rain A. Myagkov et al. 10.5194/amt-13-5799-2020
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- Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach A. Billault-Roux et al. 10.5194/amt-16-911-2023
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32 citations as recorded by crossref.
- Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study K. Mróz et al. 10.5194/amt-14-511-2021
- Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations G. Chellini et al. 10.5194/essd-15-5427-2023
- Climatology of Melting Layer Heights Estimated From Cloud Radar Observations at Various Locations J. Song et al. 10.1029/2021JD034816
- An Observation of Precipitation during Cooling with Ka-Band Cloud Radar in Wuhan, China Z. Mao et al. 10.3390/rs15225397
- Melting Behavior of Rimed and Unrimed Snowflakes Investigated With Statistics of Triple‐Frequency Doppler Radar Observations M. Karrer et al. 10.1029/2021JD035907
- Coincident in situ and triple-frequency radar airborne observations in the Arctic C. Nguyen et al. 10.5194/amt-15-775-2022
- Exploring the Environmental Conditions of Snow Particles Using Spaceborne Triple-Frequency Radar Measurements over Ocean M. Yin & C. Yuan 10.3390/rs14215512
- snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation D. Ori et al. 10.5194/gmd-14-1511-2021
- Analysis of the microphysical properties of snowfall using scanning polarimetric and vertically pointing multi-frequency Doppler radars M. Oue et al. 10.5194/amt-14-4893-2021
- The importance of particle size distribution and internal structure for triple-frequency radar retrievals of the morphology of snow S. Mason et al. 10.5194/amt-12-4993-2019
- Five years calibrated observations from the University of Bonn X-band weather radar (BoXPol) V. Pejcic et al. 10.1038/s41597-022-01656-0
- Evaluation of the reflectivity calibration of W-band radars based on observations in rain A. Myagkov et al. 10.5194/amt-13-5799-2020
- Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations M. Karrer et al. 10.5194/acp-21-17133-2021
- Improving Millimeter Radar Attenuation Corrections in High-Latitude Mixed-Phase Clouds via Radio Soundings and a Suite of Active and Passive Instruments P. Kalogeras & A. Battaglia 10.1109/TGRS.2022.3142533
- PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere M. Mech et al. 10.5194/gmd-13-4229-2020
- Correction for the Attenuation Due to Atmospheric Gas and Stratiform Clouds in Triple-Frequency Radar Observations of the Microphysical Properties of Snowfall Y. Chang et al. 10.3390/rs15194843
- Highly supercooled riming and unusual triple-frequency radar signatures over McMurdo Station, Antarctica F. Tridon et al. 10.5194/acp-22-12467-2022
- Cloud and Precipitation Profiling Radars: The First Combined W- and K-Band Radar Profiler Measurements in Italy M. Montopoli et al. 10.3390/s23125524
- Towards the connection between snow microphysics and melting layer: insights from multifrequency and dual-polarization radar observations during BAECC H. Li et al. 10.5194/acp-20-9547-2020
- Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes S. Trömel et al. 10.5194/acp-21-17291-2021
- Radar‐Derived Snowfall Microphysical Properties at Davis, Antarctica S. Alexander et al. 10.1029/2022JD038389
- Triple‐Frequency Doppler Retrieval of Characteristic Raindrop Size K. Mróz et al. 10.1029/2019EA000789
- Linkage among ice crystal microphysics, mesoscale dynamics, and cloud and precipitation structures revealed by collocated microwave radiometer and multifrequency radar observations J. Gong et al. 10.5194/acp-20-12633-2020
- Using artificial neural networks to predict riming from Doppler cloud radar observations T. Vogl et al. 10.5194/amt-15-365-2022
- High‐Resolution Snowstorm Measurements and Retrievals Using Cross‐Platform Multi‐Frequency and Polarimetric Radars E. Dunnavan et al. 10.1029/2023GL103692
- First Observations of G‐Band Radar Doppler Spectra B. Courtier et al. 10.1029/2021GL096475
- Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations L. von Terzi et al. 10.5194/acp-22-11795-2022
- Ice Aggregation in Low‐Level Mixed‐Phase Clouds at a High Arctic Site: Enhanced by Dendritic Growth and Absent Close to the Melting Level G. Chellini et al. 10.1029/2022JD036860
- Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach A. Billault-Roux et al. 10.5194/amt-16-911-2023
- Radar-Based Bayesian Estimation of Ice Crystal Growth Parameters within a Microphysical Model R. Schrom et al. 10.1175/JAS-D-20-0134.1
- Estimating total attenuation using Rayleigh targets at cloud top: applications in multilayer and mixed-phase clouds observed by ground-based multifrequency radars F. Tridon et al. 10.5194/amt-13-5065-2020
- Two Layers of Melting Ice Particles Within a Single Radar Bright Band: Interpretation and Implications H. Li & D. Moisseev 10.1029/2020GL087499
Latest update: 14 Dec 2024
Short summary
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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