Cooperative Institute for Mesoscale Meteorological Studies

RESEARCH

 

NOAA Strategic Goal 3: Serve Society’s Need for Weather and Water Information

Doppler Weather Radar Research and Development

NSSL Project 8 – Investigation into the use of Phased Array Radar Technology for Improving Hazardous Weather Detection and Warnings:

Signal Processing Upgrades for the National Weather Radar Testbed

Torres (primary – CIMMS at NSSL), Curtis, Forren, Priegnitz

Funding Type: CIMMS Task II

Objectives
Create a modern and improved multi-processor/multi-computer signal processing environment for the NWRT phased array radar.

Accomplishments
The National Weather Radar Testbed (NWRT) was established to demonstrate the potential to simultaneously perform aircraft tracking, wind profiling, and weather surveillance within a multi-mission phased-array radar (MPAR). Since its inception in September 2003, the NWRT system has undergone an extensive engineering evaluation and numerous hardware and software upgrades. However, in spite of significant engineering work, the real-time signal processing functionality currently implemented in the PAR is limited. Even with these limitations, several research experiments have successfully demonstrated many of the unique advantages of using phase-array technology in the context of weather observation. A modern and improved multi-processor/multi-computer signal processing environment will allow the implementation of new and advanced real-time signal processing techniques that will provide researchers and users with an optimum platform for demonstrating and evaluating the MPAR concept.

The first part of this project is underway and consists of implementing the Staggered PRT (SPRT) algorithm on the PAR. We successfully completed the initial stages which involved creating and testing scanning strategies using staggered PRT sampling, defining the SPRT algorithm and prototyping it for its real-time implementation. This project will continue and will be followed by the real-time implementation of other very interesting evolutionary signal processing techniques. These include schemes to effectively remove clutter contamination from meteorological signals, methods to mitigate range and velocity ambiguities, and techniques that allow for faster data collection.

This project is ongoing.

Publications
Torres, S. M., C. D. Curtis, E. Forren, and D. Priegnitz, 2008: Signal processing upgrades for the National Weather Radar Testbed. Preprints, 23rd International Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, New Orleans, LA, Amer. Meteor. Soc.