The Canadian Regional Climate Model Large Ensemble

The CanRCM4 large ensemble is a 50-member ensemble from 1950-2100 with all historical forcings for the North American Domain. Each ensemble member is driven by a member of the CanESM2 large ensemble ( https://open.canada.ca/data/en/dataset/aa7b6823-fd1e-49ff-a6fb-68076a4a477c ). The model, forcings, variable names, and file formats all follow those used in the Coordinated Regional Downscaling Experiment (CORDEX). Simulations were run to 2005 using CMIP5 historical forcings and then to 2100 using RCP 8.5 forcings following the Coupled Model Intercomparison Project Phase 5 (CMIP5) protocols, which were employed for the CanESM2 large ensemble. The CanRCM4 large ensemble is an extension of the CanESM2 large ensemble proposed by the Canadian Sea Ice and Snow Evolution Network (CanSISE) Climate Change and Atmospheric Research (CCAR) Network project.


Relevant Publications:


Description of the Model:


J. F. Scinocca, V. V. Kharin, Y. Jiao, M. W. Qian, M. Lazare, L. Solheim, G. M. Flato, S. Biner, M. Desgagne, B. Dugas, Coordinated global and regional climate modeling. J. Clim. 29, 17–35 (2016). https://doi.org/10.1175/JCLI-D-15-016 1.1


Examples of applications of the large ensemble:


Fyfe, J.C., C. Derksen, L. Mudryk, G.M. Flato, B.D. Santer, N.C. Swart, N.P. Molotch, X. Zhang, H. Wan, V.K. Arora, J. Scinocca, 2017: Large near-term projected snowpack loss over the western United States, Nature Comm., 8:14996, https://doi.org/10.1038/ncomms14996


Kirchmeier-Young, M. C., N. P. Gillett, F. W. Zwiers, A. J. Cannon, F. S. Anslow, 2018: Influence of human-induced climate change on British Columbia’s extreme 2017 fire season. Earth's Future, 7, 2-10. https://doi.org/10.1029/2018EF001050 .

Basic view

Metadata Record Information

File Identifier
e1bb310d-38fa-4223-886d-a17305e890fe XML
Date Stamp
2021-05-12T05:58:50
Metadata language

eng; CAN
Character set
UTF8
Hierarchy Level
Dataset
Author
  Government of Canada; Environment and Climate Change Canada - Environment and Climate Change Canada ( Public inquiries centre )
Fontaine Building 12th floor, 200 Sacré-Coeur Blvd , Gatineau , Quebec , K1A 0H3 ,
1-800-668-6767
http://ec.gc.ca
 

Data identification

Date (Publication)
2018-09-26
Date (Creation)
2016-10-04
Status
Completed
Metadata language

eng; CAN
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
Maintenance and Update Frequency
As needed
Spatial representation type
Text, table
Point of contact
  Government of Canada; Environment and Climate Change Canada - John Scinocca ( Research Scientist )
Canada

Keywords

Keywords

  • large ensembles

  • regional climate model

  • climate

Government of Canada Core Subject Thesaurus

  • Climate

external.theme.EC_Information_Category

  • Weather and Climate

external.theme.EC_Functions

  • Provide Climate Information Products and Services

  • Expand Scientific Knowledge for Climate Monitoring and Prediction

external.theme.EC_Branch

  • Science and Technology Branch

external.theme.EC_Directorate

  • Atmospheric Science and Technology

external.theme.GC_Security_Level

  • Unclassified

external.place.GC_Geographic_Scope

  • International
 
Use Limitation

Open Government Licence - Canada ( http://open.canada.ca/en/open-government-licence-canada )

Access Constraints
License
Use Constraints
License
Begin Date
1950-01-01
End Date
2100-12-31

Extent

N
S
E
W
thumbnail


 
 

Ref. system Reference Systems

Reference system identifier
/ Rotated Pole /
 

Distribution

Distribution Formats

Distribution format
  • NetCDF ( Classic )

 
Distributor
  Government of Canada; Environment and Climate Change Canada - Environment and Climate Change Canada ( Public inquiries centre )
Fontaine Building 12th floor, 200 Sacré-Coeur Blvd , Gatineau , Quebec , K1A 0H3 ,
1-800-668-6767
http://ec.gc.ca
 
 

Overviews

N
S
E
W
thumbnail


Keywords

climate large ensembles regional climate model
Government of Canada Core Subject Thesaurus
Climate
external.place.GC_Geographic_Scope
International
external.theme.EC_Branch
Science and Technology Branch
external.theme.EC_Directorate
Atmospheric Science and Technology
external.theme.EC_Functions
Expand Scientific Knowledge for Climate Monitoring and Prediction Provide Climate Information Products and Services
external.theme.EC_Information_Category
Weather and Climate
external.theme.GC_Security_Level
Unclassified

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