NRL Numerical Modeling of River-Influenced Coastal Ocean Dynamics
The Navy seeks research to improve coastal ocean models by integrating freshwater influences from rivers and runoff at various scales through advanced coupling techniques.
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) | August 1, 2025 | November 1, 2025 | February 1, 2026
Funding Amounts: Stipend approximately $99,200 per year with $3,000 travel allowance; typical fellowship duration 2-3 years.
Summary: Supports postdoctoral research to advance coastal ocean modeling by integrating freshwater influences from rivers and runoff using advanced hydrology-ocean coupling and multi-scale nesting techniques.
Key Information: Open to U.S. citizens and permanent residents; requires Ph.D. earned within last 5 years; relocation and health insurance benefits included.
Description
This fellowship opportunity, offered through the NRC Research Associateship Programs at the Naval Research Laboratory (NRL), focuses on advancing numerical modeling capabilities of river-influenced coastal ocean dynamics. The research aims to realistically capture the influence of freshwater inputs—such as river discharge and overland runoff—on coastal ocean processes across multiple spatial scales.
Key research objectives include:
- Developing and implementing hydrology-ocean model coupling methods that effectively route freshwater flow into estuaries and nearshore waters, accounting for variability due to tides and storm surge.
- Designing and selecting advanced two-way coupling or nesting strategies between coastal and regional ocean models to preserve nonlinear freshwater signals in circulation and stratification.
- Evaluating candidate coupling/nesting techniques such as domain decomposition, overset grids, and multiscale embedded schemes based on solution fidelity, robustness, computational cost, and ease of implementation.
The research outcomes are expected to improve the fidelity of coastal ocean models, enhancing understanding and prediction of freshwater impacts on marine hydrodynamics, sediment transport, and coastal ecosystem dynamics.
Keywords
Currents (marine), Estuaries, Rivers, Marine hydrodynamics, Numerical models and analyses, Coastal ocean models, Coastal data assimilation, Sediment transport, Integration of models and remote sensing.
