Phased Array Radar Observations, Tools, and Techniques
Research uses advanced radar data to improve understanding & prediction of severe weather, developing new radar tech & algorithms for a future national network.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: May 1, 2025 (Application Deadline)
Funding Amounts: Base stipend approx. $60,000/year plus $3,000 travel allowance; $24,000 supplement for Electrical Engineering doctorates; experience-based supplements available.
Summary: Supports postdoctoral and senior researchers using Phased Array Radar data to advance understanding of severe atmospheric convection and develop radar algorithms and tools for future national radar networks.
Key Information: Open to U.S. citizens, permanent residents, and non-U.S. citizens; research conducted at NOAA's National Severe Storms Laboratory in Norman, OK; relocation and health insurance benefits included.
Description
This fellowship opportunity supports research utilizing Phased Array Radar (PAR) observations to improve understanding of atmospheric convective events such as supercell thunderstorms, tornadoes, wind, hail, heavy precipitation, and other severe or winter weather hazards. The research primarily involves data from the Advanced Technology Demonstrator (ATD), a dual-polarization PAR at NOAA's National Severe Storms Laboratory (NSSL) in Norman, Oklahoma.
The goal is to explore innovative radar meteorology techniques to conduct basic research and enhance the operational feasibility of PAR as a potential future national radar network. Research may also include development of radar algorithms, including machine learning approaches, and creation of new tools for PAR technology.
This fellowship is part of the NRC Research Associateship Programs, which provide postdoctoral and senior researchers with opportunities to conduct self-directed research aligned with federal laboratory goals, gain mentorship, and access state-of-the-art facilities.
