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Uncertainty Quantification of Trajectory Clustering Applied to Ocean Ensemble Forecasts

Uncertainty Quantification of Trajectory Clustering Applied to Ocean Ensemble Forecasts

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_47c868a8e9dc41b1b5e66bb1372b4e18

Uncertainty Quantification of Trajectory Clustering Applied to Ocean Ensemble Forecasts

About this item

Full title

Uncertainty Quantification of Trajectory Clustering Applied to Ocean Ensemble Forecasts

Publisher

Basel: MDPI AG

Journal title

Fluids (Basel), 2020-10, Vol.5 (4), p.184

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

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 partitioning validity depends on the accuracy of the...

Alternative Titles

Full title

Uncertainty Quantification of Trajectory Clustering Applied to Ocean Ensemble Forecasts

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_47c868a8e9dc41b1b5e66bb1372b4e18

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_47c868a8e9dc41b1b5e66bb1372b4e18

Other Identifiers

ISSN

2311-5521

E-ISSN

2311-5521

DOI

10.3390/fluids5040184

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