NRL Atmospheric Predictability Studies
Research using advanced models to improve weather forecasting by studying error growth, ensemble prediction, data assimilation, and high-impact weather events.
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 (Next deadline)
Funding Amounts: $108,245 stipend plus $3,000 travel allowance; relocation assistance and health insurance available. Typical award duration 2-3 years.
Summary: Postdoctoral fellowship supporting research on atmospheric predictability using advanced modeling and data assimilation techniques at the Naval Research Laboratory.
Key Information: Open to U.S. citizens and permanent residents holding a doctoral degree; requires contacting a Research Adviser prior to applying.
Description
This fellowship opportunity at the Naval Research Laboratory (NRL) focuses on advancing the understanding of atmospheric predictability through both basic and applied research. The research employs state-of-the-art tools such as the Navy Global Environmental Model, Navy Earth System Model, and variational data assimilation systems, including ensembles of these models.
Key research areas include:
- Identification of rapidly growing error structures that can cause forecast failures.
- Examination of mechanisms behind rapid error growth.
- Development of mitigation techniques to improve operational weather forecasting.
- Ensemble prediction and its applications.
- Four-dimensional variational data assimilation techniques.
- Adaptive observations.
- Emphasis on high-impact weather phenomena such as extratropical and tropical cyclones and the Madden Julian Oscillation.
The program offers a unique opportunity to work with cutting-edge meteorological models and contribute to improving numerical weather prediction and atmospheric science.
