Field
Value
Language
dc.contributor.author
McCray, Christopher D.
datacite.creator.affiliationIdentifier
https://ror.org/0565gth98
en_US
datacite.creator.affiliation
Ouranos
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-5594-9115
en_US
dc.contributor.author
Schmidt, Gavin A.
datacite.creator.affiliationIdentifier
https://ror.org/01cyfxe35
en_US
datacite.creator.affiliation
Goddard Institute for Space Studies
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-2258-0486
en_US
dc.contributor.author
Paquin, Dominique
datacite.creator.affiliationIdentifier
https://ror.org/0565gth98
en_US
datacite.creator.affiliation
Ouranos
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-1353-930X
en_US
dc.contributor.author
Leduc, Martin
datacite.creator.affiliationIdentifier
https://ror.org/0565gth98
en_US
datacite.creator.affiliation
Ouranos
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-1596-3788
en_US
dc.contributor.author
Bi, Zhaoyue
datacite.creator.affiliationIdentifier
en_US
datacite.creator.affiliation
Data Science Institute, Columbia University
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Radiyat, Mohammad
datacite.creator.affiliationIdentifier
en_US
datacite.creator.affiliation
Data Science Institute, Columbia University
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Silverman, Carolyn
datacite.creator.affiliationIdentifier
en_US
datacite.creator.affiliation
Data Science Institute, Columbia University
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Spitz, Matthew
datacite.creator.affiliationIdentifier
en_US
datacite.creator.affiliation
Data Science Institute, Columbia University
en_US
datacite.creator.nameIdentifier
en_US
dc.contributor.author
Brettschneider, Brian R.
datacite.creator.affiliationIdentifier
en_US
datacite.creator.affiliation
National Weather Service - Alaska Region
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-5649-2647
en_US
dc.date.accessioned
2023-06-06T20:13:29Z
dc.date.available
2023-06-06T20:13:29Z
dc.date.issued
2023-06-06
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/e7e3d0ff-671a-42ad-b1b7-431d48883f48
dc.identifier.uri
https://doi.org/10.20383/102.0743
dc.description
This dataset contains extreme snowfall statistics from observations and regional climate model simulations. Simulated snowfall statistics are calculated using two ensembles of the fifth-generation Canadian Regional Climate Model (CRCM5). The first is a set of four simulations produced by Ouranos for the Coordinated Regional Climate Downscaling Experiment (CORDEX) at 0.22° horizontal grid spacing over the North American domain. The second ensemble is a set of 50 simulations from the ClimEx project, driven by 50 members of the CanESM2 large ensemble over the northeastern North America domain at 0.11° horizontal grid spacing. Observations are derived from the Global Historical Climatology Network daily (GHCNd) dataset. Statistics include mean annual snowfall, the 95th percentile of daily snowfall (SF95), and the mean annual number of daily snowfall events exceeding 10% of the climatological mean annual snowfall (TC10). Statistics are presented for four time periods, the 1980-2009 recent past climate and the 30-year periods during which the +2, +3, and +4°C global warming levels (relative to the 1850-1900 preindustrial climate) are attained. These data are associated with the manuscript “Changing Nature of High-Impact Snowfall Events in Eastern North America” by McCray et al. (2023), Journal of Geophysical Research: Atmospheres available at https://doi.org/10.1029/2023JD038804.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by-nc/4.0/
en_US
dc.subject
Snowfall
en_US
dc.subject
Snowstorms
en_US
dc.subject
Regional climate modelling
en_US
dc.subject
Climate change
en_US
dc.subject
Winter weather
en_US
dc.subject
Snow
en_US
dc.subject
Dynamical downscaling
en_US
dc.title
Snowfall statistics for past and future climates calculated from two ensembles of the fifth-generation Canadian Regional Climate Model (CRCM5)
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/1/published/publication_738/
datacite.publicationyear
2023
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.IsCitedBy
https://doi.org/10.1029/2023JD038804
datacite.geolocation.geolocationBox
-50 30 60 -95
datacite.geolocation.geolocationPlace
North America;-;-;-
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
en_US
frdr.crdc.code
RDF1050112
en_US
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Atmospheric sciences
en_US
frdr.crdc.field_en
Climate modelling
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
Modélisation climatique
fr_CA