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This work deals with the integration of sequential data assimilation techniques in regional coastal numerical models. Two suboptimal schemes of the Kalman filter are described in detail, both of which can approximate the results of the Kalman filter but at a much lower cost.
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)
Probabilistic Forecasting and Bayesian Data Assimilation
Modelling for Coastal Hydraulics and Engineering
Data Assimilation for the Geosciences
Modeling with Digital Ocean and Digital Coast
Regional Satellite Oceanography
Data Assimilation for the Geosciences
Applications of Data Assimilation and Inverse Problems in the Earth Sciences
Physical modelling in coastal engineering
Modeling Marine Systems
Numerical Models of Oceans and Oceanic Processes