Parameter, State and Uncertainty Estimation for 3-dimensional Biological Ocean Models
Realistic physical-biological ocean models pose challenges to statistical techniques due to their complexity, nonlinearity and high dimensionality. In this thesis, statistical data assimilation techniques for parameter and state estimation are adapted and applied to biological models. These methods...
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| Language: | en |
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2012
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| Online Access: | http://hdl.handle.net/10222/15330 |