Abstract
The potential of multifrequency Doppler spectra to constrain precipitation microphysics has so far only been exploited for dual-frequency spectra in rain. In this study, we extend the dual-frequency concept to triple-frequency Doppler radar spectra obtained during a snowfall event which included rimed and unrimed snow aggregates. A large selection of spectra obtained from low-turbulence regions within the cloud reveals distinctly different signatures of the derived dual spectral ratios. Due to the third frequency, a characteristic curve can be derived which is almost independent of the underlying particle size distribution and velocity-size relation. This approach provides new opportunities for validating existing and future snow scattering models and reveals how the information content of triple-frequency radar data sets can be further exploited for snowfall studies.
| Original language | English |
|---|---|
| Pages (from-to) | 2225-2233 |
| Number of pages | 9 |
| Journal | Geophysical Research Letters |
| Volume | 43 |
| Issue number | 5 |
| DOIs | |
| State | Published - Mar 16 2016 |
Keywords
- radar Doppler spectrum
- snow particle scattering
- triple-frequency radar
Fingerprint
Dive into the research topics of 'First observations of triple-frequency radar Doppler spectra in snowfall: Interpretation and applications'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver