TY - JOUR
T1 - The Impact of Antenna Cross-Pol Contamination on Polarimetric Spectra from Ice Alignment Signatures
AU - Tzeng, Min Duan
AU - Yu, Tian You
AU - Schvartzman, David
AU - Bodine, David
AU - Hubbert, John C.
AU - Goede, Vitor
AU - Chmielewski, Vanna
N1 - Publisher Copyright:
© IEEE. 1980-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - This study provides the first in-depth examination of the spectral polarimetric characteristics of the ice alignment signatures (IASs) in thunderstorms, emphasizing how aligned ice crystals affect spectral co-cross correlation coefficient (sρxp), linear depolarization ratio (sLDR), and co-cross differential phase (sΦxp) using alternate transmission and simultaneous reception (ATSR) mode. IAS is associated with strong electric fields as a precursor to lightning activity and is often manifested by distinct cross-coupling streaks. However, radar observations of these features can be confounded by antenna cross-pol contamination (ACC), which mimics IAS patterns, particularly when strong precipitation cores are present in sidelobe directions. Using simulations that integrate radar antenna patterns, wave propagation, and the microphysics of the hydrometeors, we explore IAS and ACC under varying conditions and demonstrate that, despite some similarities, ACC and IAS exhibit distinguishable spectral and bulk polarimetric characteristics. This work enhances spectral radar analysis, providing robust criteria for differentiating IAS from ACC, and addresses cross-coupling effects by introducing tailored thresholds and phase characteristics. Our findings advance both theoretical radar spectral polarimetry and practical weather radar applications, offering a simulation framework to mitigate misinterpretations and improve severe weather detection.
AB - This study provides the first in-depth examination of the spectral polarimetric characteristics of the ice alignment signatures (IASs) in thunderstorms, emphasizing how aligned ice crystals affect spectral co-cross correlation coefficient (sρxp), linear depolarization ratio (sLDR), and co-cross differential phase (sΦxp) using alternate transmission and simultaneous reception (ATSR) mode. IAS is associated with strong electric fields as a precursor to lightning activity and is often manifested by distinct cross-coupling streaks. However, radar observations of these features can be confounded by antenna cross-pol contamination (ACC), which mimics IAS patterns, particularly when strong precipitation cores are present in sidelobe directions. Using simulations that integrate radar antenna patterns, wave propagation, and the microphysics of the hydrometeors, we explore IAS and ACC under varying conditions and demonstrate that, despite some similarities, ACC and IAS exhibit distinguishable spectral and bulk polarimetric characteristics. This work enhances spectral radar analysis, providing robust criteria for differentiating IAS from ACC, and addresses cross-coupling effects by introducing tailored thresholds and phase characteristics. Our findings advance both theoretical radar spectral polarimetry and practical weather radar applications, offering a simulation framework to mitigate misinterpretations and improve severe weather detection.
KW - Antenna pattern
KW - co-cross correlation coefficient
KW - cross-coupling
KW - ice alignment
KW - polarimetric weather radar
KW - spectral polarimetry
UR - https://www.scopus.com/pages/publications/105013138004
U2 - 10.1109/TGRS.2025.3597189
DO - 10.1109/TGRS.2025.3597189
M3 - Article
AN - SCOPUS:105013138004
SN - 0196-2892
VL - 63
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
M1 - 5107019
ER -