Statistically downscaled climate scenarios from CMIP6 global climate models (CanDCS-U6 & CanDCS-M6)
Environment and Climate Change Canada’s (ECCC) Climate Research Division (CRD) and the Pacific Climate Impacts Consortium (PCIC) previously produced statistically downscaled climate scenarios based on simulations from climate models that participated in the Coupled Model Intercomparison Project phase 5 (CMIP5) in 2015. ECCC and PCIC have now updated the CMIP5-based downscaled scenarios with two new sets of downscaled scenarios based on the next generation of climate projections from the Coupled Model Intercomparison Project phase 6 (CMIP6). The scenarios are named Canadian Downscaled Climate Scenarios–Univariate method from CMIP6 (CanDCS-U6) and Canadian Downscaled Climate Scenarios–Multivariate method from CMIP6 (CanDCS-M6).
CMIP6 climate projections are based on both updated global climate models and new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs). Statistically downscaled datasets have been produced from 26 CMIP6 global climate models (GCMs) under three different emission scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5), with PCIC later adding SSP3-7.0 to the CanDCS-M6 dataset. The CanDCS-U6 was downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2) procedure, and CanDCS-M6 was downscaled using the N-dimensional Multivariate Bias Correction (MBCn) method. The CanDCS-U6 dataset was produced using the same downscaling target data (NRCANmet) as the CMIP5-based downscaled scenarios, while the CanDCS-M6 dataset implements a new target dataset (ANUSPLIN and PNWNAmet blended dataset).
Statistically downscaled individual model output and ensembles are available for download. Downscaled climate indices are available across Canada at 10km grid spatial resolution for the 1950-2014 historical period and for the 2015-2100 period following each of the three emission scenarios.
Note: projected future changes by statistically downscaled products are not necessarily more credible than those by the underlying climate model outputs. In many cases, especially for absolute threshold-based indices, projections based on downscaled data have a smaller spread because of the removal of model biases. However, this is not the case for all indices. Downscaling from GCM resolution to the fine resolution needed for impacts assessment increases the level of spatial detail and temporal variability to better match observations. Since these adjustments are GCM dependent, the resulting indices could have a wider spread when computed from downscaled data as compared to those directly computed from GCM output. In the latter case, it is not the downscaling procedure that makes future projection more uncertain; rather, it is indicative of higher variability associated with finer spatial scale.
Individual model datasets and all related derived products are subject to the terms of use (https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html) of the source organization.
Simple
- Date ( RI_367 )
- 2022-03-31
- Date ( RI_366 )
- 2021-01-21
- Status
- completed; complété RI_593
- Maintenance and update frequency
- asNeeded; auBesoin RI_540
- Government of Canada Core Subject Thesaurus Thésaurus des sujets de base du gouvernement du Canada ( RI_528 )
-
- Climate
- Models
- Statistical analysis
- Business Functions Fonctions de l'entreprise ( RI_528 )
-
- Provide Climate Information Products and Services
- Expand Scientific Knowledge for Climate Monitoring and Prediction
- GC Organization Names GC Organization Names ( RI_528 )
-
- Government of Canada
- Branch Direction Générale ( RI_528 )
-
- Science and Technology Branch
- Directorate Direction ( RI_528 )
-
- Atmospheric Science and Technology
- ECCC Resource Formats EN ECCC Resource Formats FR ( RI_528 )
-
- NetCDF
- ECCC Geographic Scope EN ECCC Geographic Scope FR ( Place )
-
- National (CA)
- Use limitation
- Open Government Licence - Canada (http://open.canada.ca/en/open-government-licence-canada)
- Access constraints
- license; licence RI_606
- Use constraints
- license; licence RI_606
- Spatial representation type
- grid; grille RI_636
- Metadata language
- eng; CAN
- Character set
- UTF8
- Topic category
-
- Climatology, meteorology, atmosphere
- Begin date
- 1951-01-01
- End date
- 2100-12-31
))
- Reference system identifier
- http://www.epsg-registry.org / EPSG:4326 /
- Distribution format
-
-
NetCDF
(
unknown
)
-
NetCDF
(
unknown
)
- OnLine resource
-
Download CMIP6 statistically downscaled climate scenarios (EN)
(
HTTPS
)
Dataset;NetCDF;eng
- OnLine resource
-
Download CMIP6 statistically downscaled climate scenarios (FR)
(
HTTPS
)
Dataset;NetCDF;fra
- OnLine resource
-
Statistically downscaled climate scenarios and indices from CMIP6 global climate models (EN)
(
HTTPS
)
Supporting Document;HTML;eng
- OnLine resource
-
Statistically downscaled climate scenarios and indices from CMIP6 global climate models (FR)
(
HTTPS
)
Supporting Document;HTML;fra
- OnLine resource
-
MSC Datamart (EN)
(
HTTPS
)
Dataset;NetCDF;eng
- OnLine resource
-
MSC Datamart (FR)
(
HTTPS
)
Dataset;NetCDF;fra
- OnLine resource
-
MSC Datamart AMQP (EN)
(
AMQPS
)
Dataset;NetCDF;eng
- OnLine resource
-
MSC Datamart AMQP (FR)
(
AMQPS
)
Dataset;NetCDF;fra
- OnLine resource
-
MSC GeoMet (EN)
(
OGC:WMS
)
Web Service;WMS;eng
- OnLine resource
-
MSC GeoMet (FR)
(
OGC:WMS
)
Web Service;WMS;fra
- OnLine resource
-
MSC Open Data documentation (EN)
(
HTTP
)
Supporting Document;HTML;eng
- OnLine resource
-
MSC Open Data documentation (FR)
(
HTTP
)
Supporting Document;HTML;fra
- File identifier
- f73d6939-912a-4add-a291-c233fc5d1946 XML
- Metadata language
- eng; CAN
- Character set
- utf8; utf8 RI_458
- Hierarchy level
- dataset; jeuDonnées RI_622
- Date stamp
- 2024-08-13T14:45:06.435Z
- Metadata standard name
- North American Profile of ISO 19115:2003 - Geographic information - Metadata
- Metadata standard version
- CAN/CGSB-171.100-2009
Overviews
Spatial extent
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