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Estimating Ice Water Content for Winter Storms from Millimeter-Wavelength Radar Measurements Using a Synthesis of Polarimetric and Dual-Frequency Radar Observations

  • National Oceanic and Atmospheric Administration
  • University of Oklahoma
  • University of Colorado Boulder

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The potential of millimeter-wavelength radar-based ice water content (IWC) estimation is demonstrated using a Ka-band Scanning Polarimetric Radar (KASPR) for the U.S. northeast coast winter storms. Two IWC relations for Ka-band polarimetric radar measurements are proposed: one that uses a combination of the radar reflectivity Z and the estimated total number concentration of snow particles Nt and the other based on the joint use of Z, specific differential phase KDP, and the degree of riming frim. A key element of the algorithms is to obtain the “Rayleigh-equivalent” value of Z measured at the Ka band, i.e., the corresponding Z at a longer radar wavelength for which Rayleigh scattering takes place. This is achieved via polarimetric retrieval of the mean volume diameter Dm and incorporating the relationship between the dual-wavelength ratio DWRS/Ka and Dm. Those techniques allow for retrievals from single millimeter-wavelength radar measurements and do not necessarily require the dual-wavelength ratio (DWR) measurements, if the DWR–Dm relation and Rayleigh assumption for Ka-band KDP are valid. Comparison between the quasivertical profile product obtained from KASPR and the columnar vertical profile product generated from the nearby WSR-88D S-band radar measurements demonstrates that the DWRS/Ka can be estimated from the two close radars without the need for collocated radar beams and synchronized antenna scanning and can be used for determining the Rayleigh-equivalent value of Z. The performance of the suggested techniques is evaluated for seven winter storms using surface disdrometer and snow accumu-lation measurements.

Original languageEnglish
Pages (from-to)75-90
Number of pages16
JournalJournal of Atmospheric and Oceanic Technology
Volume42
Issue number1
DOIs
StatePublished - Jan 2025

Keywords

  • Cloud retrieval
  • Radars/Radar observations
  • Snow

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