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CMIP6 statistically downscaled agroclimatic indices

Environment and Climate Change Canada’s (ECCC) CMIP6 statistically downscaled agroclimatic indices are an updated version of the CMIP5 agroclimatic indices dataset making use of the new set of downscaled scenarios (Canadian Downscaled Climate Scenarios–Univariate method from CMIP6 (CanDCS-U6)) created by the Pacific Climate Impacts Consortium (PCIC). To address the needs of different user groups in Canada, 49 indices, including agroclimatic indices, were proposed by the Canadian adaptation community through a series of consultations. Please see the definition list for the equations of each index.

The range of impact-relevant climate indices available for download includes, indices representing counts of the number of days when temperature or precipitation exceeds (or is below) a threshold value; the episode length when a particular weather/climate condition occurs; and indices that accumulate temperature departures above or below a fixed threshold. The statistically downscaled climate indices are available for individual models and ensembles, historical simulations (1951-2014) and three new emissions scenarios called “Shared Socioeconomic Pathways” (SSPs), SSP1-2.6, SSP2-4.5, and SSP5-8.5 (2015-2100), at a 10 x 10 km degree grid resolution.

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 impact 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 a 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.

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Date ( RI_367 )
2023-08-25
Date ( RI_366 )
2023-07-15
RI_417
  Government of Canada; Environment and Climate Change Canada; Science and Technology Branch (STB) / Atmospheric Science and Technology Directorate (ASTD) / Climate Research Division (CRD)
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
ECCC Geographic Scope EN ECCC Geographic Scope FR ( Place )
  • National (CA)
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
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
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S
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W
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Reference system identifier
http://www.epsg-registry.org / EPSG:4326 /
Distribution format
  • NetCDF ( unknown )

RI_412
  Government of Canada; Environment and Climate Change Canada; Science and Technology Branch (STB) / Atmospheric Science and Technology Directorate (ASTD) / Climate Research Division (CRD)
OnLine resource
Download CMIP6 statistically downscaled agroclimatic indices (EN) ( HTTPS )

Dataset;NetCDF;eng

OnLine resource
Download CMIP6 statistically downscaled agroclimatic indices (FR) ( HTTPS )

Dataset;NetCDF;fra

OnLine resource
CMIP6 statistically downscaled agroclimatic indices technical documentation (EN) ( HTTPS )

Supporting Document;HTML;eng

OnLine resource
CMIP6 statistically downscaled agroclimatic indices technical documentation (FR) ( HTTPS )

Supporting Document;HTML;fra

OnLine resource
Definitions of statistically downscaled agroclimatic indices (EN) ( HTTPS )

Supporting Document;HTML;eng

OnLine resource
Definitions of statistically downscaled agroclimatic indices (FR) ( HTTPS )

Supporting Document;HTML;fra

File identifier
4c902988-6644-462c-84ba-b029454e7fe9 XML
Metadata language
eng; CAN
Character set
utf8; utf8 RI_458
Hierarchy level
dataset; jeuDonnées RI_622
Date stamp
2024-08-13T14:42:31.372Z
Metadata standard name
North American Profile of ISO 19115:2003 - Geographic information - Metadata
Metadata standard version
CAN/CGSB-171.100-2009
RI_414
  Government of Canada; Environment and Climate Change Canada; Science and Technology Branch (STB) / Atmospheric Science and Technology Directorate (ASTD) / Climate Research Division (CRD)
 
 

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