| Abstract: |
The local ensemble transform Kalman filter (LETKF) has been applied to the ChesROMS model of the Chesapeake Bay for the purpose of regional ocean prediction. Observation system simulation experiments (OSSEs) have shown that the LETKF improves the state estimate of the system using a realistic simulated observation system and errors in surface and freshwater forcing. The OSSEs explore the impact and importance of these forcing errors and show how the data assimilation improves the physical state estimate in their presence. In addition, initial steps using real data will be discussed along with future plans for the assimilation project. |
