State estimation of tidal hydrodynamics using ensemble Kalman filter

Hitoshi Tamura; Peter Bacopoulos; Dingbao Wang; Scott C. Hagen; Ethan J. Kubatko

doi:10.1016/j.advwatres.2013.11.002

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State estimation of tidal hydrodynamics using ensemble Kalman filter

Hitoshi Tamura Peter Bacopoulos Dingbao Wang Scott C. Hagen Ethan J. Kubatko

Year: 2013 Journal: Advances in Water Resources Vol: 63 Pages: 45-56 Publisher: Elsevier BV

DOI: 10.1016/j.advwatres.2013.11.002

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Keywords:

Kalman filter Ensemble Kalman filter Moving horizon estimation Data assimilation Extended Kalman filter Estimation Fast Kalman filter State (computer science) Alpha beta filter Invariant extended Kalman filter Meteorology Environmental science Computer science Mathematics Statistics Algorithm Engineering Physics

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Meteorological Phenomena and Simulations

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Oceanographic and Atmospheric Processes

Physical Sciences → Earth and Planetary Sciences → Oceanography

Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

State estimation of tidal hydrodynamics using ensemble Kalman filter

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