Statistically downscaled multi-model ensembles of precipitation

Statistically downscaled multi-model ensembles of total precipitation are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily precipitation (mm/day) from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded precipitation dataset of Canada (ANUSPLIN) was used as the downscaling target. 

             The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled total precipitation (mm/day) are available for the historical time period, 1951-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.

             Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Données et ressources

Info additionnelle

Champ Valeur
Dernière modification avril 17, 2026, 20:45 (TU)
Créé le avril 17, 2026, 20:45 (TU)
contact_email ec.ccds.info-info.dscc.ec@canada.ca
contact_person {"en": "Government of Canada; Environment and Climate Change Canada,1-800-668-6767,ec.enviroinfo.ec@canada.ca", "fr": "Gouvernement du Canada; Environnement et Changement climatique Canada,ec.enviroinfo.ec@canada.ca"}
criticality_level []
data_dictionary ["climatology_meterology_atmosphere"]
geographic_scope []
open_canada_collection fgp
open_canada_date_published 2018-09-06 00:00:00
open_canada_keywords {"en": ["Climate", "Climate change", "Weather and Climate", "Provide Climate Information Products and Services", "Expand Scientific Knowledge for Climate Monitoring and Prediction", "National (CA)", "Science and Technology Branch", "Atmospheric Science and Technology", "Unclassified"], "fr": ["Climat", "Changement climatique", "Temps et climat", "Fournir des services et des produits d'information sur le climat", "Approfondir les connaissances scientifiques et formuler de nouvelles méthodes de recherche le climat et le changement climatique", "National (CA)", "Direction générale des sciences et de la technologie", "Sciences et technologie atmosphériques", "Non Classifié"]}
open_canada_subject ["nature_and_environment", "science_and_technology"]
sensitivity_level unrestricted
title_fr Ensembles multimodèles à échelle statistiquement réduite des précipitations
update_frequency as_needed