Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-2997-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-2997-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Mar 2016
Research article |
| 09 Mar 2016
Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling
McGill University Montreal, Montréal, QC, Canada
now at: Leibniz-Institute for Tropospheric Research,
Leipzig, Germany
Wanda Szyrmer
McGill University Montreal, Montréal, QC, Canada
Stefan Kneifel
McGill University Montreal, Montréal, QC, Canada
now at: University of Cologne, Cologne,
Germany
Pavlos Kollias
McGill University Montreal, Montréal, QC, Canada
now at: Stony Brook University, Stony Brook, NY, USA
Edward Luke
Brookhaven National Laboratory, Upton, NY,
USA
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- First observations of triple‐frequency radar Doppler spectra in snowfall: Interpretation and applications S. Kneifel et al. 10.1002/2015GL067618
48 citations as recorded by crossref.
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- 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
- Aspects of melting layer and fall streaks in stratiform cloud system over the Western Ghats, India from Ka-band polarimetric radar observations S. Das et al. 10.1016/j.atmosres.2022.106463
- Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment H. Griesche et al. 10.1038/s41597-024-03325-w
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- Two-year statistics of columnar-ice production in stratiform clouds over Hyytiälä, Finland: environmental conditions and the relevance to secondary ice production H. Li et al. 10.5194/acp-21-14671-2021
- Retrievals of Riming and Snow Density From Vertically Pointing Doppler Radars S. Mason et al. 10.1029/2018JD028603
- Using artificial neural networks to predict riming from Doppler cloud radar observations T. Vogl et al. 10.5194/amt-15-365-2022
- 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
- Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic M. Oue et al. 10.1002/2017JD027717
- Improved spectral processing for a multi-mode pulse compression Ka–Ku-band cloud radar system H. Ding et al. 10.5194/amt-15-6181-2022
- 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
- Observing ice particle growth along fall streaks in mixed-phase clouds using spectral polarimetric radar data L. Pfitzenmaier et al. 10.5194/acp-18-7843-2018
- Remote Sensing J. Bühl et al. 10.1175/AMSMONOGRAPHS-D-16-0015.1
- 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
- Development and validation of a supervised machine learning radar Doppler spectra peak-finding algorithm H. Kalesse et al. 10.5194/amt-12-4591-2019
- 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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- Precipitation Type Classification of Micro Rain Radar Data Using an Improved Doppler Spectral Processing Methodology A. Garcia-Benadi et al. 10.3390/rs12244113
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- Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network H. Kalesse-Los et al. 10.5194/amt-15-279-2022
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 29 Jun 2024
Short summary
Mixed-phase clouds are ubiquitous. Process-level understanding is needed to address the complexity of mixed-phase clouds and to improve their representation in models. This study illustrates steps to identify the impact of a microphysical process (riming) on cloud Doppler radar observations. It suggests that in situ observations of key ice properties are needed to complement radar observations before process-oriented studies can effectively evaluate ice microphysical parameterizations in models.
Mixed-phase clouds are ubiquitous. Process-level understanding is needed to address the...
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