In a 2008 survey about scanning strategy improvements for the WSR-88D conducted by the US National Weather Service (NWS), 62% of forecasters indicated the need for faster updates. High-temporal resolution data (~1 min) is expected to improve the understanding, detection, and warning of hazardous weather phenomena.
Faster data updates like those demonstrated with the
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With faster updates as one of our major goals, significant hardware, software infrastructure, and signal processing upgrades continue to be accomplished to support the NWRT mission as a demonstrator system for the Multi-function Phased-Array Radar (MPAR) concept.
Two methods are currently exploited to reduce scan times without sacrificing data precision or spatial sampling: adaptive range oversampling and focused observations. The latter can be possible through a series of improvements to the radar's scan control functionality. These are summarized in a conference paper that was presented at the 2013 AMS Annual Meeting in Austin, TX.
Through continuous engineering upgrades, we are able to demonstrate that PAR technology can be exploited to achieve performance levels that are unfeasible with current operational technology. Nonetheless, more research is needed to translate these improvements into concrete, measurable, and meaningful service improvements.
We recently received a second award from the National Science Foundation (NSF) for our research project "Understanding the Relationship Between Tornadoes and Debris Through Observed and Simulated Radar Data."
This fall, I had the honor and privilege to teach an OLLI class with my friend and colleague Jami Boettcher. "NEXRAD Weather Radar: How it Works and What Those Images Tell Us" kept us busy for 5 weeks this fall.
Our paper "Bootstrap Dual-Polarimetric Spectral Density Estimator" made the cover of the April 2017 issue of the IEEE Transactions on Geoscience and Remote Sensing journal.
I have accepted to serve as an associate editor for the American Meteorological Society’s Journal of Atmospheric and Oceanic Technology.
I have been chosen as the winner of the 2016 OU College of Atmospheric and Geographic Sciences Dean’s Award for Outstanding Service.