Modified particle filter methods for assimilating Lagrangian data into a point-vortex model
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Publication:942719
DOI10.1016/j.physd.2008.03.023zbMath1143.76409OpenAlexW2138382705WikidataQ57940450 ScholiaQ57940450MaRDI QIDQ942719
Amarjit Budhiraja, Kayo Ide, Elaine T. Spiller, Christopher K. R. T. Jones
Publication date: 5 September 2008
Published in: Physica D (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physd.2008.03.023
Vortex flows for incompressible inviscid fluids (76B47) Stochastic analysis applied to problems in fluid mechanics (76M35)
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A coherent structure approach for parameter estimation in Lagrangian data assimilation ⋮ Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting ⋮ Error analysis for numerical formulation of particle filter
Cites Work
- Capturing eddy shedding in the Gulf of Mexico from Lagrangian observations
- A survey of numerical methods for nonlinear filtering problems
- Sequential Monte Carlo Methods in Practice
- Lagrangian data assimilation for point vortex systems
- Launching and dispatching strategies for multi-criteria control of closed manufacturing systems with flexible routeing capability
- Sequential Monte Carlo Methods for Dynamic Systems
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