Field
Value
Language
dc.contributor.author
Beutel, Becca
datacite.creator.affiliationIdentifier
https://ror.org/03rmrcq20
en_US
datacite.creator.affiliation
University of British Columbia
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-0653-2177
en_US
dc.contributor.author
Allen, Susan
datacite.creator.affiliationIdentifier
https://ror.org/03rmrcq20
en_US
datacite.creator.affiliation
University of British Columbia
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-2079-6520
en_US
dc.date.accessioned
2023-06-21T13:43:15Z
dc.date.available
2024-06-05T06:00:00Z
dc.date.issued
2024-06-05
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/4d9900ba-933a-4f94-bf4d-6890c462993d
dc.identifier.uri
https://doi.org/10.20383/103.0765
dc.description
This dataset includes setup files and simulation results for quantitative Lagrangian analysis using Ariane, an offline Lagrangian tool capable of calculating 3D parcel trajectories and volume transport, used in Beutel & Allen (2023). The simulations are based on the output from two regional ocean models: CIOPS-BC12, an atmosphere-ocean-ice forecasting system for the west coast of Canada, and SalishSeaCast, a 3D physical-biological-chemical ocean model of the Salish Sea. The simulation results were utilized to analyze the water masses entering the Salish Sea and to assess the seasonal and interannual variability in their contributions to inflow. This knowledge is crucial for understanding the vulnerability of the Salish Sea to anthropogenic impacts.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
Lagrangian tracking
en_US
dc.subject
water masses
en_US
dc.subject
coastal
en_US
dc.title
Simulation output for Beutel & Allen (2023) - Seasonal and interannual Salish Sea inflow origins using Lagrangian tracking
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/1/embargo/publication_760/
datacite.publicationyear
2024
datacite.date.Collected
2016-01-01/2020-12-31
datacite.date.Collected
2016-09-30/2018-03-31
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.IsCitedBy
https://essopenarchive.org/users/627277/articles/648300-seasonal-and-interannual-salish-sea-inflow-origins-using-lagrangian-tracking
datacite.relatedidentifier.IsSupplementedBy
https://github.com/rbeutel/PI_SOURCE_PAPER/tree/main
datacite.geolocation.geolocationPlace
Salish Sea;-;British Columbia;Canada
datacite.fundingReference.funderIdentifier
https://ror.org/01h531d29
en_US
datacite.fundingReference.funderName
Natural Sciences and Engineering Research Council of Canada
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Canadian Graduate Scholarship
en_US
datacite.fundingReference.funderIdentifier
https://ror.org/01h531d29
en_US
datacite.fundingReference.funderName
Natural Sciences and Engineering Research Council of Canada
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Discovery Grant
en_US
frdr.crdc.code
RDF1050503
en_US
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Oceanography
en_US
frdr.crdc.field_en
Physical oceanography
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Océanographie
fr_CA
frdr.crdc.field_fr
Océanographie physique
fr_CA
