Preprints
https://doi.org/10.5194/amt-2021-78
https://doi.org/10.5194/amt-2021-78

  23 Mar 2021

23 Mar 2021

Review status: this preprint is currently under review for the journal AMT.

Combination Analysis of Multi-Wavelength, Multi-Parameter Radar Measurements for Snowfall

Mariko Oue1, Pavlos Kollias1,2, Sergey Y. Matrosov3, Alessandro Battaglia4,5, and Alexander V. Ryzhkov6 Mariko Oue et al.
  • 1Stony Brook University, Stony Brook NY, USA
  • 2Brookhaven National Laboratory, Upton, NY, USA
  • 3Cooperative Institute in Research in Environmental Sciences, University of Colorado and NOAA Physical Sciences Laboratory, Boulder, CO, USA
  • 4Politecnico di Torino, Turin, Italy
  • 5University of Leicester, Leicester, UK
  • 6NSSL, University of Oklahoma, Norman, OK, USA

Abstract. Radar dual wavelength ratio (DWR) measurements from the Stony Brook Radar Observatory Ka-band Scanning Polarimetric Radar (KASPR, 35 GHz), a profiling W-band (94 GHz) and a next generation K-band (24-GHz) Micro Rain Radar (MRRPro) were exploited for ice particle identification using triple frequency approaches. The results indicated that two of the radar frequencies (K- and Ka-band) are not sufficiently separated, thus, the triple radar frequency approaches had limited success. On the other hand, a joint analysis of DWR, mean vertical Doppler velocity (MDV), and polarimetric radar variables indicated potential in identifying ice particle types and distinguishing among different ice growth processes and even in revealing additional microphysical details.

We investigated all DWR pairs in conjunction with MDV from the KASPR profiling measurements and differential reflectivity (ZDR) and specific differential phase (KDP) from the KASPR quasi-vertical profiles. The DWR-versus-MDV diagrams coupled with the polarimetric observables exhibited distinct separations of particle populations attributed to different rime degrees and particle growth processes. In fallstreaks, the 35–94 GHz DWR pair increased with the magnitude of MDV corresponding to the scattering calculations for aggregates with lower degrees of riming. The DWR values further increased at lower altitudes while ZDR slightly decreased, indicating further aggregation. Particle populations with higher rime degrees had a similar increase of DWR, but the 1–1.5 m s−1 larger magnitude of MDV and rapid decreases in KDP and ZDR. The analysis also depicted the early stage of riming where ZDR increased with the MDV magnitude collocated with small increases of DWR. This approach will improve quantitative estimations of snow amount and microphysical quantities such as rime mass fraction.

Mariko Oue et al.

Status: open (until 18 May 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-78', Anonymous Referee #1, 19 Apr 2021 reply

Mariko Oue et al.

Mariko Oue et al.

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Short summary
Multi-wavelength radar measurements provide capabilities of identifications of ice particle types and growth processes in clouds beyond single radar measurements. This study introduces Doppler velocity and polarimetric radar observables in the multi-wavelength radar reflectivity measurement to better improve the identification analysis. The analysis clearly discerned snowflake aggregation and riming processes and even early stages of riming.