Statistically downscaled multi-model ensembles of precipitation

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. 2022-02-22 Environment and Climate Change Canada ec.ccds.info-info.dscc.ec@canada.ca Nature and EnvironmentScience and TechnologyWeather and ClimateProvide Climate Information Products and ServicesExpand Scientific Knowledge for Climate Monitoring and PredictionNational (CA)ClimateClimate change View Data MartHTML https://dd.weather.gc.ca/climate/dcs View Data MartHTML https://dd.meteo.gc.ca/climate/dcs Climate Data ViewerHTML https://climate-viewer.canada.ca/climate-maps.html Climate Data ViewerHTML https://visualiseur-climatique.canada.ca/cartes-climatiques.html Climate Data Extraction ToolHTML https://climate-change.canada.ca/climate-data/#/downscaled-data GeoMet WMS (EN)WMS https://geo.weather.gc.ca/geomet-climate?service=WMS&version=1.3.0&request=GetCapabilities GeoMet WMS (FR)WMS https://geo.weather.gc.ca/geomet-climate?lang=fr&service=WMS&version=1.3.0&request=GetCapabilities GeoMet WCS (EN)GeoTIF https://geo.weather.gc.ca/geomet-climate?service=WCS&version=2.0.1&request=GetCapabilities GeoMet WCS (FR)GeoTIF https://geo.weather.gc.ca/geomet-climate?lang=fr&service=WCS&version=2.0.1&request=GetCapabilities Canadian Climate Data and Scenarios ENNetCDF https://climate-scenarios.canada.ca/index.php?page=main Canadian Climate Data and Scenarios FRNetCDF https://scenarios-climatiques.canada.ca/index.php?page=main Data Collection MethodologyPDF http://data.ec.gc.ca/data/climate/scientificknowledge/statistically-downscaled-multi-model-ensembles-of-precipitation/Downscaled_-_READ_ME_Technical_Doc_EN.pdf Data Collection MethodologyPDF http://data.ec.gc.ca/data/climate/scientificknowledge/statistically-downscaled-multi-model-ensembles-of-precipitation/Downscaled_-_READ_ME_Technical_Doc_FR.pdf View ECCC Data Mart (English)HTML http://data.ec.gc.ca/data/climate/scientificknowledge/statistically-downscaled-multi-model-ensembles-of-precipitation View ECCC Data Mart (French)HTML http://data.ec.gc.ca/data/climate/scientificknowledge/statistically-downscaled-multi-model-ensembles-of-precipitation?lang=fr

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.

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Country: Canada

Electronic Mail Address: ec.ccds.info-info.dscc.ec@canada.ca

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