Interpretation of Polarimetric Radar Signatures of Mangrove Forests

2000 ◽  
Vol 71 (1) ◽  
pp. 56-66 ◽  
Author(s):  
C Proisy
Keyword(s):  
Mangrove Forests ◽  
Polarimetric Radar ◽  
Radar Signatures

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

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 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

Validation of Polarimetric Radar Signatures Using the 2D-Video Distrometer

1997 ◽  
Author(s):  
V. M. Bringi ◽  
J. Hubbert
Keyword(s):  
Polarimetric Radar ◽  
Radar Signatures

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 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.

Artificial intelligence techniques for clutter identification with polarimetric radar signatures

2012 ◽  
Vol 109-110 ◽  
pp. 95-113 ◽  
Author(s):  
Tanvir Islam ◽  
Miguel A. Rico-Ramirez ◽  
Dawei Han ◽  
Prashant K. Srivastava
Keyword(s):  
Artificial Intelligence ◽  
Polarimetric Radar ◽  
Artificial Intelligence Techniques ◽  
Radar Signatures
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