A Framework for Comparisons of Downburst Precursor Observations Using an All-Digital Phased-Array Weather Radar

Abstract Downbursts are rapidly evolving meteorological phenomena with numerous vertically oriented precursor signatures, and the temporal resolution vertical sampling of current NEXRAD system too coarse to observe their evolution signatures properly. A future all-digital polarimetric phased-array weather radar (PAR) should be able improve both spatial atmosphere provide better observations hazards such as downbursts. Previous work has been focused on understanding trade-offs associated using various scanning techniques stationary PARs; however, a rotating, PAR (RPAR) is more feasible cost-effective candidate. Thus, an RPAR vital in learning how best downbursts system. This develops framework for analyzing different strategies observation signatures. proof-of-concept analysis—which uses Cloud Model 1 (CM1)-simulated downburst-producing thunderstorm—is also performed conventional imaging adaptive show potential value feasibility framework. Preliminary results from analysis indicate that there indeed limit benefits update time speedup method. As used achieve larger factors, corresponding data degradation begins hinder