Analysis of the microphysical properties of snowfall using scanning polarimetric and vertically pointing multi-frequency Doppler radars

Oue, Mariko; Kollias, Pavlos; Matrosov, Sergey Y.; Battaglia, Alessandro; Ryzhkov, Alexander V.

doi:10.5194/amt-14-4893-2021

Title: Analysis of the microphysical properties of snowfall using scanning polarimetric and vertically pointing multi-frequency Doppler radars

Journal Article · Mon Jul 12 00:00:00 EDT 2021 · Atmospheric Measurement Techniques (Online)

DOI:https://doi.org/10.5194/amt-14-4893-2021· OSTI ID:1811480

^[1]; Kollias, Pavlos ^[2];

^[3]; Battaglia, Alessandro ^[4]; Ryzhkov, Alexander V. ^[5]

Stony Brook Univ., NY (United States)
Stony Brook Univ., NY (United States); Brookhaven National Lab. (BNL), Upton, NY (United States)
Univ. of Colorado, Boulder, CO (United States); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
Politecnico di Torino, Turin (Italy); Univ. of Leicester (United Kingdom)
Univ. of Oklahoma, Norman, OK (United States)

Radar dual-wavelength ratio (DWR) measurements from the Stony Brook Radar Observatory Ka-band scanning polarimetric radar (KASPR, 35 GHz), a W-band profiling radar (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-frequency radar approaches had limited success. On the other hand, a joint analysis of DWR, mean 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 (Z_DR) and specific differential phase (K_DP) 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 Z_DR slightly decreased, indicating further aggregation. Particle populations with higher rime degrees had a similar increase in DWR but a 1–1.5 m s^–1 larger magnitude of MDV and rapid decreases in K_DP and Z_DR. The analysis also depicted the early stage of riming where Z_DR increased with the MDV magnitude collocated with small increases in DWR. This approach will improve quantitative estimations of snow amount and microphysical quantities such as rime mass fraction. The study suggests that triple-frequency measurements are not always necessary for in-depth ice microphysical studies and that dual-frequency polarimetric and Doppler measurements can successfully be used to gain insights into ice hydrometeor microphysics.

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Research Organization:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation (NSF)

Grant/Contract Number:: SC0017967; AGS-1841215; AGS-1841246; AGS-1841260; AGS-1904809

OSTI ID:: 1811480

Journal Information:: Atmospheric Measurement Techniques (Online), Vol. 14, Issue 7; ISSN 1867-8548

Publisher:: Copernicus Publications, EGUCopyright Statement

Country of Publication:: United States

Language:: English

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