NRL Ocean Data Assimilation for Operational Ocean Forecasts
This grant focuses on improving ocean forecasts by better integrating diverse data sources, calibrating air-sea interactions, and refining data assimilation 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 | August 1, 2025 | November 1, 2025 | February 1, 2026
Funding Amounts: Stipend approximately $86,962 per year plus $3,000 travel allowance; typical fellowship duration 2-3 years.
Summary: Supports postdoctoral research focused on advancing ocean data assimilation techniques for operational ocean forecasts, including observation targeting, air-sea flux calibration, and coupled ocean-atmosphere modeling.
Key Information: Open to U.S. citizens and permanent residents holding a doctoral degree within the last 5 years; relocation and health insurance benefits included.
Description
This fellowship opportunity at the Naval Research Laboratory (NRL) focuses on advancing ocean data assimilation methods to improve operational ocean forecasts. Research efforts include:
- Developing observing system strategies that optimize the deployment of mobile platforms such as ocean gliders, unmanned underwater vehicles (UUVs), autonomous underwater vehicles (AUVs), shipboard, and airborne sensors by using ensemble or variational-based estimates of observation impact.
- Enhancing observation impact through the design of error covariances that relate observation information content to model background and other observations.
- Calibrating air-sea fluxes and their uncertainties using in situ and remote sensing data as a step toward fully coupled ocean-wave-atmosphere-ice modeling.
- Innovating variational assimilation techniques that use ensemble methods instead of explicit adjoint codes (adjointless 4DVAR).
- Integrating abundant surface remote sensing data with sparse subsurface observations.
- Adapting multisensor analyses of sea surface height, temperature, and salinity to incorporate new sensors and correct biases.
- Applying assimilation schemes (3DVAR, 4DVAR, ensemble assimilation) with covariance weighting to optimize state variables and gradients.
- Conducting research within global and regional ocean and coupled air/wave/ice/bio/ocean models.
This program offers a unique opportunity to contribute to cutting-edge oceanographic research with direct applications to operational forecasting and coupled environmental modeling.
