NOAA Multi-resolution ensemble design for Warn-on-Forecast
NOAA seeks proposals to improve the Warn-on-Forecast system by researching multi-resolution data assimilation, using both high and low resolution data.
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: $60,000 base stipend plus $3,000 travel allowance; additional $24,000 supplement for Electrical Engineering doctorates; stipend increases with experience.
Summary: Supports postdoctoral and senior researchers to conduct innovative research on multi-resolution data assimilation for NOAA's Warn-on-Forecast system to improve severe weather prediction.
Key Information: Open to U.S. citizens, permanent residents, and non-U.S. citizens; relocation and health insurance benefits included; requires contacting a NOAA research adviser prior to applying.
Description
This fellowship opportunity supports research at NOAA's National Severe Storms Laboratory (NSSL) focused on advancing the Warn-on-Forecast System (WoFS). The goal is to explore multi-resolution ensemble design strategies that enable real-time data assimilation and forecasting on ~1-km grids, overcoming current computational limitations of high-resolution ensemble data assimilation.
The research aims to improve severe weather prediction by integrating both high- and low-resolution ensemble members during data assimilation cycles. This approach could eventually allow for even higher-resolution analyses and forecasts (e.g., 500-m grid spacing). Successful applicants will have access to several years of warm season WoFS forecast data.
Key research topics include ensemble design, data assimilation techniques, and severe weather forecasting improvements. The program encourages innovative proposals addressing all aspects of multi-resolution data assimilation.
