Uncertainty Quantification of Trajectory Clustering Applied to Ocean Ensemble Forecasts

Uncertainty Quantification of Trajectory Clustering Applied to Ocean Ensemble Forecasts

Partitioning ocean flows into regions dynamically distinct from their surroundings based on material transport can assist search-and-rescue planning by reducing the search domain. The spectral clustering method partitions the domain by identifying fluid particle trajectories that are similar. The pa...

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Bibliographic Details
Main Authors: Guilherme S. Vieira, Irina I. Rypina, Michael R. Allshouse
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Fluids
Subjects:
Lagrangian transport
spectral clustering
uncertainty quantification
parameter sensitivity
ocean ensemble forecast
drifter data
Online Access:https://www.mdpi.com/2311-5521/5/4/184

Internet

https://www.mdpi.com/2311-5521/5/4/184

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