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Contrasting Polarimetric Observations of Stratiform Riming and Nonriming Events
- Source :
- Journal of Applied Meteorology and Climatology. 57:457-476
- Publication Year :
- 2018
- Publisher :
- American Meteorological Society, 2018.
-
Abstract
- This study investigates the how riming in stratiform precipitation impacts polarimetric signatures. Using a vertically pointing Doppler X-band radar, cases can be separated into one of three groups: unrimed to lightly rimed, riming with no bimodal spectra and fall speeds greater than 2.0 m s−1, and riming with bimodal velocity spectra. By averaging polarimetric variables over a 20° by 10-km box near the X-band radar, different signatures were documented for each of the three groups. These polarimetric signatures were then compared with a simplified T-matrix scattering model. Differential reflectivity ZDR was the one polarimetric variable to consistently vary across all three groups. Unrimed to lightly rimed cases had profiles of polarimetric signatures similar to numerous previous studies. Riming cases without detectable bimodal spectra had ZDR values on the order of 0.2 dB lower than unrimed to lightly rimed cases, while cases with bimodal spectra had ZDR values about 0.2–0.4 dB higher than unrimed to lightly rimed cases. Both signatures were reproduced using populations of aggregates, dendrites, and needles in the T-matrix scattering model. While these signatures show the potential to identify riming, they are not enough larger than measurement biases and case-to-case variability to be confidently used without confirmation from other data sources, such as a vertically pointing radar.
- Subjects :
- Atmospheric Science
Cloud microphysics
010504 meteorology & atmospheric sciences
Ice crystals
0208 environmental biotechnology
Polarimetry
02 engineering and technology
Differential reflectivity
Snow
01 natural sciences
020801 environmental engineering
law.invention
symbols.namesake
law
symbols
Precipitation
Radar
Doppler effect
Geology
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 15588432 and 15588424
- Volume :
- 57
- Database :
- OpenAIRE
- Journal :
- Journal of Applied Meteorology and Climatology
- Accession number :
- edsair.doi...........a3bafabd630428381c27b5e625898643