Wind Analysis of Tropical Cyclones Using SAMURAI and AOSPRE
Bryan, D., Lee, W., Klotz, B., Cha, T.. (2025). Wind Analysis of Tropical Cyclones Using SAMURAI and AOSPRE. , doi:https://doi.org/10.5065/sqaa-r233
| Title | Wind Analysis of Tropical Cyclones Using SAMURAI and AOSPRE |
|---|---|
| Genre | Manuscript |
| Author(s) | Deztynee Bryan, Wen-chau Lee, Bradly Klotz, Ting-Yu Cha |
| Abstract | As Earth continues to warm, the expectation is that major hurricanes will likely become more frequent. Scientists are challenged to understand intensifying complex storms to mitigate impending disasters. Remote-sensing instruments have been developed to aid in deciphering storm microphysics and kinematics, yet many limitations have hindered the comprehensive analyses of tropical cyclones. The Airborne Phased Array Radar (APAR) concept represents a groundbreaking advancement in hurricane research and forecasting. This next-generation, airborne radar can provide agile scanning capabilities, allowing a deeper understanding of the intricacies of atmospheric phenomena. The development of modern technology enables dual Doppler and dual polarimetric capabilities, ideal for analyzing convective systems. To support APAR's development, the APAR Observing Simulation, Processing, and Research Environment (AOSPRE) was created to generate radar moments in realistic weather simulations of high-impact weather events. This project investigates and compares the kinematic structure of tropical cyclones using 3D deduced winds as sampled by APAR and Spline Analysis at Mesoscale Utilizing Radar Aircraft Instrumentation (SAMURAI) software. The primary and secondary circulation analyses agree with previous studies and observations, confirming a successful SAMURAI analysis. Furthermore, APAR's potential to significantly improve the understanding of tropical cyclone structure is highlighted, contributing to more accurate forecasting of disastrous hurricanes. |
| Publication Title | |
| Publication Date | Aug 1, 2025 |
| Publisher's Version of Record | https://doi.org/10.5065/sqaa-r233 |
| OpenSky Citable URL | https://n2t.net/ark:/85065/d71c22b9 |
| OpenSky Listing | View on OpenSky |
| MMM Affiliations | DPM |