Instrumentation of the Phased Array Radar system with a multi-channel receiver suite will bring out the full creativity of researchers using advanced techniques for maximizing the information from radar observations, as well as using them optimally in numerical models to improve weather prediction. The multi-channel receiver will collect signals from the sum, azimuth-difference, elevation-difference, and five broad-beamed auxiliary channels. One of the major advantages of the NWRT is the capability to adaptively scan weather phenomena at a higher temporal resolution than is possible with the WSR-88D. Hemispherical coverage in 1 min or less vs. 4 min can be accomplished without comprising data accuracy. The multi-channel receiver will allow the direct implementation of interferometry techniques to measure crossbeam wind, shear and turbulence within a radar resolution volume. Access to the auxiliary channels will enable clutter mitigation and advanced array processing for high data quality with short dwell times. Potential benefits of high quality and high resolution data together with angular shear and turbulence include better understanding of storm dynamics and convective initiation, as well as better detection of small-scale phenomena including tornado and microbursts, ultimately leading to increased lead time for warnings, and improved weather prediction.
The project is a collaborative effort between the university and federal scientists. Assembly and testing of the instrument will be accomplished in the OU Atmospheric Radar Research Center (ARRC)'s Radar Innovation Laboratory (RIL) prior to integration into the NWRT. Scientists from the National Severe Storms Laboratory (NSSL) will take an active role in the integration of this instrument. The full conference paper will discuss this new project at OU in greater detail, which includes: advanced meteorological applications, predicted laboratory findings, initial designs and future risk mitigation strategies. A timeline for the subsequent work will also be discussed.