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| Paper: | IMDSP-L5.5 |
| Session: | Image and Multidimensional Signal Processing: Applications III |
| Time: | Thursday, May 20, 16:50 - 17:10 |
| Presentation: |
Lecture |
| Topic: |
Image and Multidimensional Signal Processing: Geophysical Signal, Image Processing |
| Title: |
KALMAN BUCY FILTER BASED DATA ASSIMILATION WITH NAVY LAYERED OCEAN MODEL |
| Authors: |
Amir Asif; York University | | |
| Abstract: |
Computationally efficient implementations of the Kalman Bucy filter (KBf) for data assimilation are presented. We apply our algorithms to assimilate satellite altimetry data into the Navy Layered Ocean Model (NLOM). Compared to direct KBf, our implementations provide computational savings of up to two orders of magnitude of the linear dimension of the ocean field. Results from a quarter degree equatorial channel simulation of the Pacific Ocean are included. |
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