Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. This growth arises from describing the behavior of velocity over time as a set of possible combinati...
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2018
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| Online Access: | http://hdl.handle.net/10725/9772 https://doi.org/10.1016/j.ocemod.2018.08.008 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://reader.elsevier.com/reader/sd/pii/S1463500318300490?token=6F0656218BB945B3E165629578FBED63CDAA30A5249B88F917C8533F69A5B9EE73F3094BA75AF8FBD29637EB8F9A74FE |
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