Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-4993-2019
© 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/amt-12-4993-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Sep 2019
Research article |
| 17 Sep 2019
| 17 Sep 2019
The importance of particle size distribution and internal structure for triple-frequency radar retrievals of the morphology of snow
Department of Meteorology, University of Reading, Reading, UK
National Centre for Earth Observation, University of Reading, Reading, UK
Robin J. Hogan
European Centre for Medium-range Weather Forecasts, Reading, UK
Department of Meteorology, University of Reading, Reading, UK
Christopher D. Westbrook
Department of Meteorology, University of Reading, Reading, UK
Stefan Kneifel
Department of Geophysics and Meteorology, University of Cologne, Cologne, Germany
Dmitri Moisseev
Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, Finland
Finnish Meteorological Institute, Helsinki, Finland
Leonie von Terzi
Department of Geophysics and Meteorology, University of Cologne, Cologne, Germany
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- Cloud and Precipitation Profiling Radars: The First Combined W- and K-Band Radar Profiler Measurements in Italy M. Montopoli et al. 10.3390/s23125524
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- Coincident in situ and triple-frequency radar airborne observations in the Arctic C. Nguyen et al. 10.5194/amt-15-775-2022
- Spaceborne Cloud and Precipitation Radars: Status, Challenges, and Ways Forward A. Battaglia et al. 10.1029/2019RG000686
- Simulated particle evolution within a winter storm: contributions of riming to radar moments and precipitation fallout A. DeLaFrance et al. 10.5194/acp-24-11191-2024
- Overview: Integrative and Comprehensive Understanding on Polar Environments (iCUPE) – concept and initial results T. Petäjä et al. 10.5194/acp-20-8551-2020
- High‐Resolution Snowstorm Measurements and Retrievals Using Cross‐Platform Multi‐Frequency and Polarimetric Radars E. Dunnavan et al. 10.1029/2023GL103692
- The Impact of the Radar-Sampling Volume on Multiwavelength Spaceborne Radar Measurements Using Airborne Radar Observations L. Pfitzenmaier et al. 10.3390/rs11192263
- Review of Techniques for Particle Spectroscopy From DC to Terahertz Frequency U. Dey 10.1109/TIM.2022.3193171
- 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
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- Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset F. Turk et al. 10.3390/rs13122264
- Demonstration of a Consistent Relationship between Dual-Frequency Reflectivity and the Mass-Weighted Mean Diameter in Measurements of Frozen Precipitation from GCPEX, OLYMPEX, and MC3E G. Duffy et al. 10.1175/JAS-D-20-0174.1
- Sensitivity of 89–190-GHz Microwave Observations to Ice Particle Scattering R. Chen & R. Bennartz 10.1175/JAMC-D-19-0293.1
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- 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
- 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
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- Triple-frequency radar retrieval of microphysical properties of snow K. Mroz et al. 10.5194/amt-14-7243-2021
- A riming‐dependent parameterization of scattering by snowflakes using the self‐similar Rayleigh–Gans approximation N. Maherndl et al. 10.1002/qj.4573
- 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
- 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
Latest update: 14 Dec 2024
Short summary
The mass contents of snowflakes are critical to remotely sensed estimates of snowfall. The signatures of snow measured at three radar frequencies can distinguish fluffy, fractal snowflakes from dense and more homogeneous rimed snow. However, we show that the shape of the particle size spectrum also has a significant impact on triple-frequency radar signatures and must be accounted for when making triple-frequency radar estimates of snow that include variations in particle structure and density.
The mass contents of snowflakes are critical to remotely sensed estimates of snowfall. The...
