Field
Value
Language
dc.contributor.author
Tang, Guoqiang
datacite.creator.affiliationIdentifier
https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
University of Saskatchewan
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-0923-583
en_US
dc.contributor.author
Clark, Martyn P.
datacite.creator.affiliationIdentifier
https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Papalexiou, Simon Michael
datacite.creator.affiliationIdentifier
https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Newman, Andrew J.
datacite.creator.affiliationIdentifier
https://ror.org/05cvfcr44
en_US
datacite.creator.affiliation
National Center for Atmospheric Research
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Wood, Andrew W.
datacite.creator.affiliationIdentifier
https://ror.org/05cvfcr44
en_US
datacite.creator.affiliation
National Center for Atmospheric Research
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Brunet, Dominique
datacite.creator.affiliationIdentifier
https://ror.org/026ny0e17
en_US
datacite.creator.affiliation
Environment and Climate Change Canada
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Whitfield, Paul H.
datacite.creator.affiliationIdentifier
https://ror.org/010x8gc63
en_US
datacite.creator.affiliation
University of Saskatchewan
en_US
datacite.creator.nameIdentifier
en_US
dc.date.accessioned
2020-10-08T21:51:30Z
dc.date.available
2020-10-08T21:51:30Z
dc.date.issued
2020-10-08
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/4bb24ee2-73e1-43a8-a929-126d2eb2bfa3
dc.identifier.uri
https://doi.org/10.20383/101.0275
dc.description
The Ensemble Meteorological Dataset for North America (EMDNA) contains daily precipitation, mean daily temperature, and daily temperature range at the 0.1-degree resolution from 1979 to 2018. Minimum and maximum temperature can be calculated from mean temperature and temperature range. EMDNA merges station observations and reanalysis model outputs to improve the quality of estimates. The dataset is expected to be useful for hydrological and meteorological applications in North America.
Two types of datasets are provided by EMDNA, including the probabilistic dataset and the deterministic dataset. The probabilistic dataset has 100 equally plausible ensemble members, which can be used to evaluate the impact of the uncertainties in a myriad of applications. The deterministic dataset is generated during the production of ensemble members and can be applied in studies that do not need uncertainty estimation.
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
Precipitation
en_US
dc.subject
Temperature
en_US
dc.subject
Ensemble
en_US
dc.subject
North America
en_US
dc.title
EMDNA: Ensemble Meteorological Dataset for North America
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/6/published/publication_270/
frdr.preservation.status
AIP generation and transfer successful
frdr.preservation.statusnotes
Original AIP processing occurred in 2020 however, the AIP was never moved to SciNet and the tar.gz file could not be unpacked. The AIP was reprocessed beginning on 2024-02-27 and will be split up into multiple AICs. Please see the transfer txt file in the Jira ticket to see how the dataset is split up for transfer.
frdr.preservation.datetime
AIP #1: 2024-03-04
AIP #2: 2024-03-04
AIP #3: 2024-03-04
AIP #4: 2024-03-04
AIP #5: 2024-03-05
AIP #6: 2024-03-05
AIP #7: 2024-03-09
AIP #8: 2024-03-09
AIP #9: 2024-03-09
AIP #10: 2024-03-11
frdr.preservation.datetime
AIP #11: 2024-03-11
AIP #12: 2024-03-11
AIP #13: 2024-03-11
AIP #14: 2024-03-11
AIP #15: 2024-03-11
AIP #16: 2024-03-11
AIP #17: 2024-03-11
AIP #18: 2024-03-11
AIP #19: 2024-03-11
AIP #20: 2024-03-11
frdr.preservation.datetime
AIP #21: 2024-03-14
AIP #22: 2024-03-14
AIP #23: 2024-03-14
AIP #24: 2024-03-14
AIP #25: 2024-03-14
AIP #26: 2024-03-14
AIP #27: 2024-03-14
AIP #28: 2024-03-14
AIP #29: 2024-03-15
AIP #30: 2024-03-15
frdr.preservation.datetime
AIP #31: 2024-03-15
AIP #32: 2024-03-17
AIP #33: 2024-03-17
AIP #34: 2024-03-17
AIP #35: 2024-03-17
AIP #36: 2024-03-17
AIP #37: 2024-03-17
AIP #38: 2024-03-18
AIP #39: 2024-03-18
AIP #40: 2024-03-18
AIP #41: 2024-03-18
datacite.publicationyear
2020
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.IsCitedBy
https://doi.org/10.5194/essd-13-3337-2021
datacite.geolocation.geolocationBox
5 -180 85 -50
datacite.geolocation.geolocationPlace
North America;-;-;-
datacite.fundingReference.funderName
Global Water Futures (GWF)
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
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
datacite.fundingReference.funderName
Global Water Futures (GWF)
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Core Modelling and Forecasting
en_US
frdr.crdc.code
RDF1050105
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Atmospheric sciences
en_US
frdr.crdc.field_en
Meteorology and weather
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Sciences de l'atmosphère
fr_CA
frdr.crdc.field_fr
Météorologie et temps
fr_CA
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