EnKF (Ensemble Kalman Filter) Based Global Ensemble Forecast System Using HYCOM
Develop a global ocean forecast system using HYCOM and Ensemble Kalman Filter to improve Navy's ocean predictions and uncertainty estimates.
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: $86,962 stipend plus $3,000 travel allowance; fellowship duration typically 2-3 years.
Summary: Postdoctoral fellowship to develop a global ocean ensemble forecast system using the Navy’s HYCOM model and Ensemble Kalman Filter to improve ocean state predictions and uncertainty estimates for the US Navy.
Key Information: Open to U.S. citizens and permanent residents; relocation and health insurance benefits included; requires contacting Research Adviser prior to application.
Description
This fellowship opportunity supports the development of a state-of-the-art global ensemble ocean forecast system based on the Navy’s HYbrid Coordinate Ocean Model (HYCOM). The project aims to enhance ocean forecasting capabilities by integrating the classical Ensemble Kalman Filter (EnKF) theory with HYCOM to provide superior ocean state predictions and probabilistic uncertainty estimates critical for the US Navy’s missions.
Key features of the project include:
- Representation of initial state uncertainties in ocean modeling.
- Accurate prediction of ocean states and probabilistic information extending up to several months.
- Development of a stochastic forcing model to account for model-related uncertainties.
- Future operational implementation at the Naval Oceanographic Office (NAVO).
This research is highly relevant to ocean sciences, modeling, and simulation, with direct applications to naval operations and oceanographic forecasting.
