TY - JOUR
T1 - Development of Simulation Models Supporting Next-Generation Airborne Weather Radar for High Ice Water Content Monitoring
AU - Shrestha, Yunish
AU - Zhang, Yan
AU - McFarquhar, Greg M.
AU - Blake, William
AU - Starzec, Mariusz
AU - Harrah, Steven D.
N1 - Publisher Copyright:
© 2008-2012 IEEE.
PY - 2023
Y1 - 2023
N2 - In this article, a method of extending airborne weather radar modeling to incorporate high-ice-water-content (HIWC) conditions has been developed. A novel aspect is incorporating flight test measurement data, including forward-looking radar measurements and in situ microphysics probes data, into the model and part of the evaluations of modeling. The simulation models assume a dual-polarized, airborne forward-looking radar, while for single-polarized operations, the index-of-dispersion is included as a helpful indicator for HIWC detection. The radar system simulation models are useful for design evaluations for the next generation of airborne aviation hazard monitoring and incorporate HIWC hazard detection algorithms. Example applications of the simulator, such as hazard detection based on the simulated HIWC flight encounter scenarios based on specific numeric weather prediction (NWP) model outputs, are discussed.
AB - In this article, a method of extending airborne weather radar modeling to incorporate high-ice-water-content (HIWC) conditions has been developed. A novel aspect is incorporating flight test measurement data, including forward-looking radar measurements and in situ microphysics probes data, into the model and part of the evaluations of modeling. The simulation models assume a dual-polarized, airborne forward-looking radar, while for single-polarized operations, the index-of-dispersion is included as a helpful indicator for HIWC detection. The radar system simulation models are useful for design evaluations for the next generation of airborne aviation hazard monitoring and incorporate HIWC hazard detection algorithms. Example applications of the simulator, such as hazard detection based on the simulated HIWC flight encounter scenarios based on specific numeric weather prediction (NWP) model outputs, are discussed.
KW - Airborne radar
KW - high ice water content (HIWC)
KW - machine learning (ML)
KW - microphysics
KW - radar system simulation
UR - https://www.scopus.com/pages/publications/85144774679
U2 - 10.1109/JSTARS.2022.3227124
DO - 10.1109/JSTARS.2022.3227124
M3 - Article
AN - SCOPUS:85144774679
SN - 1939-1404
VL - 16
SP - 493
EP - 507
JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ER -