Field
Value
Language
dc.contributor.author
Slaughter, Andrew
datacite.creator.affiliationIdentifier
https://ror.org/05997db74;https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
Global Institute for Water Security; University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Razavi, Saman
datacite.creator.affiliationIdentifier
https://ror.org/05997db74;https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
Global Institute for Water Security; University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.date.accessioned
2019-03-19T17:22:34Z
dc.date.available
2019-03-19T17:22:34Z
dc.date.issued
2019-03-19
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/3033574e-c963-5eec-c63c-83103b320246
dc.identifier.uri
https://doi.org/10.20383/101.0139
dc.description
Biennial flow reconstructions generated through multiple linear regression relationships between flow and tree-ring chronologies extending from 1600–2001 were disaggregated to weekly by identifying two-year periods in the naturalised reference flow broadly similar to that of the reconstructed flow. The weekly flow distribution of the identified naturalised reference flow period was used to construct the weekly flow. Scaling methods were used to re-introduce some of the variability in yearly flows lost during the disaggregation process. The flow data produced were verified to have broadly retained the variability and persistence of the reference flows. An ensemble of 500 flow time series for each sub-basin was generated to represent the high uncertainty inherent in the statistical relationships and disaggregation method. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-12-231-2020. The authors kindly request that you reference this paper in addition to the dataset.
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
Saskatchewan River Basin
en_US
dc.subject
weekly-time-stem tree-ring reconstructed flows
en_US
dc.subject
disaggregation
en_US
dc.title
An ensemble of 500 time series of weekly flows from 1600-2001 for the four sub-basins of the Saskatchewan River Basin generated through disaggregating tree-ring reconstructed flow.
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/6/published/publication_140/
frdr.preservation.status
AIP generation and transfer successful
frdr.preservation.datetime
2019-03-20 17:30:22
datacite.publicationyear
2019
datacite.date.Collected
1600-01-01/2001-01-01
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.IsCitedBy
https://doi.org/10.5194/essd-12-231-2020
datacite.geolocation.geolocationPlace
North Saskatchewan River Basin;-;Saskatchewan;Canada
datacite.fundingReference.funderName
Global Water Futures (GWF)
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Integrated Modelling Program for Canada
en_US
datacite.fundingReference.funderName
Canada First Research Excellence Fund (CFREF)
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Global Water Futures Program (GWF)
en_US
frdr.crdc.code
RDF1050604
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Environmental geoscience
en_US
frdr.crdc.field_en
Paleo-environmental sciences
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Géosciences de l'environnement
fr_CA
frdr.crdc.field_fr
Sciences paléoenvironnementales
fr_CA
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