I am a senior research scientist with the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) and the Advanced Radar Research Center (ARRC) at the University of Oklahoma (OU), where I am affiliated with the National Severe Storms Laboratory (NSSL).
My background is in electrical engineering, and I have over 15 years of experience in the field of weather radar signal processing. I am the leader of the Advanced Radar Techniques (ART) team within the Radar Research and Development Division at NSSL where I work on:
In order to demonstrate the multifunction capabilities of a phased-array radar (PAR) system, an aircraft-detection-and-tracking module was designed and implemented on the National Weather Radar Testbed (NWRT) PAR in real-time.
Notional integrated weather and aircraft tracking display
Combining weather and aviation functions involves meeting several demanding requirements including sensitivity, coverage, data quality, spatial resolution, and temporal resolution.
In general, power-aperture, bandwidth, and time can be traded in many different ways to achieve multifunction, but this remains one of the main challenges in the design of an affordable MPAR system. The goal here is not to provide a prototype for an MPAR system, but to use the existing PAR (with its many limitations) as a proof of concept for multifunction and establish a framework for future research.
Please follow the link below to read more about the first steps taken at NSSL to upgrade the NWRT PAR in order to demonstrate a combination of weather and terminal aviation functions.
The Spring 2014 software release on the NWRT PAR is now operational. This new release enables multifunction capabilities and adds new signal processing and adaptive scanning functionalities.
During PARISE 2013, NSSL scientists worked with NWS forecasters to understand the strengths and limitations of weather-radar scan strategies in their warning-decision process.
We recently received National Science Foundation (NSF) funding for our research project titled "Understanding Polarimetric Radar Tornadic Debris Signatures Using Modeling, Simulations, and Field Measurements."