Enhanced polarimetric radar signatures above the melting level in a supercell storm

2003 ◽  
Author(s):  
D.S. Zrnic ◽  
M.L. Loney ◽  
J.M. Straka ◽  
A.V. Ryzhkov
Keyword(s):  
Polarimetric Radar ◽  
Supercell Storm ◽  
Radar Signatures ◽  
Melting Level

scholarly journals Enhanced Polarimetric Radar Signatures above the Melting Level in a Supercell Storm

2002 ◽  
Vol 41 (12) ◽  
pp. 1179-1194 ◽  
Author(s):  
Matthew L. Loney ◽  
Dušan S. Zrnić ◽  
Jerry M. Straka ◽  
Alexander V. Ryzhkov
Keyword(s):  
Polarimetric Radar ◽  
Supercell Storm ◽  
Radar Signatures ◽  
Melting Level

Simulation and analysis of polarimetric radar signatures of human gaits

2014 ◽  
Vol 50 (3) ◽  
pp. 2164-2175 ◽  
Author(s):  
James Park ◽  
Joel Johnson ◽  
Ninoslav Majurec ◽  
Mark Frankford ◽  
Kyle Stewart ◽  
...  
Keyword(s):  
Polarimetric Radar ◽  
Radar Signatures

scholarly journals Polarimetric radar signatures of precipitation at S and C-bands

1991 ◽  
Vol 138 (2) ◽  
pp. 109 ◽  
Author(s):  
V.N. Bringi ◽  
V. Chandrasekar ◽  
P. Meischner ◽  
J. Hubbert ◽  
Y. Golestani
Keyword(s):  
Polarimetric Radar ◽  
Radar Signatures

scholarly journals Disdrometer, Polarimetric Radar, and Condensation Nuclei Observations of Supercell and Multicell Storms on 11 June 2018 in Eastern Nebraska

Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 770
Author(s):  
Matthew Van Den Broeke
Keyword(s):  
Particle Concentration ◽  
Rain Rate ◽  
Radar Data ◽  
Convective Cell ◽  
Observation Time ◽  
Precipitation Intensity ◽  
Polarimetric Radar ◽  
Condensation Nuclei ◽  
Supercell Storm ◽  
Differential Reflectivity

Disdrometer and condensation nuclei (CN) data are compared with operational polarimetric radar data for one multicell and one supercell storm in eastern Nebraska on 11 June 2018. The radar was located ~14.3 km from the instrumentation location and provided excellent observation time series with new low-level samples every 1–2 min. Reflectivity derived by the disdrometer and radar compared well, especially in regions with high number concentration of drops and reflectivity <45 dBZ. Differential reflectivity also compared well between the datasets, though it was most similar in the supercell storm. Rain rate calculated by the disdrometer closely matched values estimated by the radar when reflectivity and differential reflectivity were used to produce the estimate. Concentration of CN generally followed precipitation intensity for the leading convective cell, with evidence for higher particle concentration on the edges of the convective cell associated with outflow. The distribution of CN in the supercell was more complex and generally did not follow precipitation intensity.

scholarly journals X-Band Dual-Polarization Radar Observations of Snow Growth Processes of a Severe Winter Storm: Case of 12 December 2013 in South Korea

2019 ◽  
Vol 36 (7) ◽  
pp. 1217-1235 ◽  
Author(s):  
S. Allabakash ◽  
S. Lim ◽  
V. Chandrasekar ◽  
K. H. Min ◽  
J. Choi ◽  
...  
Keyword(s):  
Polarimetric Radar ◽  
Atmospheric Conditions ◽  
Severe Winter ◽  
Dual Polarization ◽  
Winter Storm ◽  
Horizontal Polarization ◽  
Growth Processes ◽  
Radar Observations ◽  
X Band ◽  
Radar Signatures

AbstractThe characteristics of microphysical processes of a severe winter storm that occurred on the Korean Peninsula on 12 December 2013 was studied in this work for the first time via X-band dual-polarization weather radar observations. A new range–height indicator (RHI) scan-based quasi-vertical profile methodology, in which polarimetric radar variables were averaged at each height of the RHI scan, was introduced to investigate the snow microphysics, and the obtained polarimetric radar signatures served as fingerprints of the dendritic growth, aggregation, and riming processes. Enhanced differential reflectivity (Zdr) and specific differential phase shift (Kdp) bands were detected near the −15°C isotherm, which signified the growth of dendrites or platelike crystals. The observed correlation between the increases in the reflectivity factor at horizontal polarization Zh and copolar correlation coefficient ρhv and the decreases in Zdr and Kdp magnitudes at lower heights suggested the occurrence of the aggregation process. The combination of high Zh and low Zdr values with turbulent atmospheric conditions observed at the ground level indicated the occurrence of the riming process. In addition, the negative Kdp and Zdr values combined with high Zh and ρhv magnitudes (observed near the end of the snow event) indicated the formation of graupel particles. The polarimetric radar signatures obtained for the snow growth processes were evident from ground observations and agreed well with the results of the Weather Research and Forecasting Model and Modern-Era Retrospective Analysis for Research and Applications data. Furthermore, the spatial variability of Zh methodology was implemented to describe both aggregates and rimed ice particles.

scholarly journals Detection of the melting level with polarimetric weather radar

2021 ◽  
Vol 14 (4) ◽  
pp. 2873-2890
Author(s):  
Daniel Sanchez-Rivas ◽  
Miguel A. Rico-Ramirez
Keyword(s):  
Weather Radar ◽  
Radiosonde Data ◽  
Accurate Estimation ◽  
Vertical Profiles ◽  
Polarimetric Radar ◽  
Radar Rainfall ◽  
Radar Measurements ◽  
Polarimetric Weather Radar ◽  
Melting Level ◽  
Ml Detection

Abstract. Accurate estimation of the melting level (ML) is essential in radar rainfall estimation to mitigate the bright band enhancement, classify hydrometeors, correct for rain attenuation and calibrate radar measurements. This paper presents a novel and robust ML-detection algorithm based on either vertical profiles (VPs) or quasi-vertical profiles (QVPs) built from operational polarimetric weather radar scans. The algorithm depends only on data collected by the radar itself, and it is based on the combination of several polarimetric radar measurements to generate an enhanced profile with strong gradients related to the melting layer. The algorithm is applied to 1 year of rainfall events that occurred over southeast England, and the results were validated using radiosonde data. After evaluating all possible combinations of polarimetric radar measurements, the algorithm achieves the best ML detection when combining VPs of ZH, ρHV and the gradient of the velocity (gradV), whereas, for QVPs, combining profiles of ZH, ρHV and ZDR produces the best results, regardless of the type of rain event. The root mean square error in the ML detection compared to radiosonde data is ∼200 m when using VPs and ∼250 m when using QVPs.

scholarly journals Microphysical and Polarimetric Radar Signatures of an Epic Flood Event in Southern China

2020 ◽  
Vol 12 (17) ◽  
pp. 2772 ◽  
Author(s):  
Yu Ma ◽  
Haonan Chen ◽  
Guangheng Ni ◽  
V. Chandrasekar ◽  
Yabin Gou ◽  
...  
Keyword(s):  
Large Scale ◽  
Extreme Event ◽  
Southern China ◽  
Critical Role ◽  
River Estuary ◽  
Heavy Rainfall Event ◽  
Management Decision ◽  
Polarimetric Radar ◽  
Extreme Rain ◽  
Radar Signatures

An extremely heavy rainfall event hit Guangdong province, China, from 27 August to 1 September 2018. There were two different extreme rain regions, respectively, at the Pearl River estuary and eastern Guangdong, and a record-breaking daily precipitation of 1056.7 mm was observed at Gaotan station on 30 August. This paper utilizes a suite of observations from soundings, a gauge network, disdrometers, and polarimetric radars to gain insights to the two rainfall centers. The large-scale meteorological forcing, rainfall patterns, and microphysical processes, as well as radar-based precipitation signatures are investigated. It is concluded that a west-moving monsoon depression played a critical role in sustaining the moisture supply to the two extreme rain regions, and the combined orographic enhancement further contributed to the torrential rainfall over Gaotan station. The raindrop size distributions (DSD) observed at Zhuhai and Huidong stations, as well as the observed polarimetric radar signatures indicate that the rainfall at Doumen region was characterized by larger raindrops but a lower number concentration compared with that at Gaotan region. In addition, the dual-polarization radars are used to quantify precipitation intensity during this extreme event, providing timely information for flood warning and emergency management decision-making.

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