Field
Value
Language
dc.contributor.author
Rajulapati, Chandra Rupa
datacite.creator.affiliationIdentifier
https://ror.org/02gfys938
en_US
datacite.creator.affiliation
University of Manitoba
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-3239-8773
en_US
dc.contributor.author
Abdelmoaty, Hebatallah Mohamed
datacite.creator.affiliationIdentifier
https://ror.org/03yjb2x39
en_US
datacite.creator.affiliation
University of Calgary
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-2288-691X
en_US
dc.contributor.author
Nerantzaki, Sofia
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/03yjb2x39
en_US
datacite.creator.affiliation
University of Calgary
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-5633-0154
en_US
dc.coverage.temporal
2015-01-01/2100-12-31
dc.date.accessioned
2023-10-24T20:34:34Z
dc.date.available
2024-02-08
dc.date.issued
2024-02-08
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/7a02a1e0-3402-4183-af41-dfa483ef06b1
dc.identifier.uri
https://doi.org/10.20383/103.0829
dc.description
A database of high-resolution (0.1°) precipitation, maximum, and minimum temperature projections extending till 2100 at a daily scale is developed for Canada. We employed a novel Semi-Parametric Quantile Mapping (SPQM) methodology to bias-correct the Coupled Model Intercomparison Project, Phase-6 (CMIP6) projections for four distinct Shared Socio-economic Pathways. SPQM is simple, yet robust, in reproducing the observed marginal properties, trends and variability according to future scenarios, and maintaining a smooth transition from observations to projected simulations. The database encompasses a substantial collection of 759 simulations derived from 37 diverse climate models for precipitation. Similarly, for maximum and minimum temperature projections, our database comprises 652 simulations from 30 climate models. These meticulously curated projections carry immense value for hydrological, environmental, and ecological studies, offering a comprehensive resource for analyses within these domains. Furthermore, these projections serve as a valuable asset for the quantification of uncertainties arising from variant labels, climate models, and future scenarios.
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
bias correction
en_US
dc.subject
quantile mapping
en_US
dc.subject
fine spatiotemporal resolutions
en_US
dc.subject
CMIP6 simulations
en_US
dc.title
High-resolution future temperature and precipitation dataset for Canada, 2015 - 2100
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/6/embargo/publication_824/
datacite.publicationyear
2024
datacite.resourcetype
Dataset
en_US
datacite.geolocation.geolocationBox
39 -143 85 -50
datacite.geolocation.geolocationPlace
-;-;-;Canada
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
Global Water Futures Program
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Paradigm Shift in Downscaling Climate Model Projections: Building Models and Tools to Advance Climate Change Research in Cold Regions
en_US
frdr.crdc.code
RDF2080199
en_US
frdr.crdc.group_en
Environmental engineering and related engineering
en_US
frdr.crdc.class_en
Environmental engineering
en_US
frdr.crdc.field_en
Environmental engineering, not elsewhere classified
en_US
frdr.crdc.group_fr
Génie de l'environnement et techniques d'ingénierie connexes
fr_CA
frdr.crdc.class_fr
Génie de l'environnement
fr_CA
frdr.crdc.field_fr
Génie de l'environnement, non classé ailleurs
fr_CA
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