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Found 10 records similar to Basin averaged CanRCM4 variables for Western Canada

Federal

The Climate Research Division's climate modelling program provides climate model output for the climate science and climate change research community, nationally and internationally. This dataset includes global Earth System model output (from several generations of models), regional climate model output, such as that contributed to the international CORDEX project for regional climate downscaling, and more specialized collections of climate model output supporting projects and collaborations with other climate research institutions, nationally and internationally (examples include GeoMIP, seasonal forecast intercomparisons, and CLIMDEX). Note: This dataset constitutes approximately 40TB of climate model output, in thousands of individual files, and in prescribed NetCDF formats, consistent with other international climate modelling institutions. Data license agreement: This dataset is subject to the Open Government Licence - Canada.

Last Updated: May 16, 2018
Date Published: Feb. 1, 1998
Organization: Environment and Climate Change Canada
Formats: HTML
Keywords:  Climate, Modelling
Federal

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.

Last Updated: Dec. 3, 2019
Date Published: Sep. 26, 2018
Organization: Environment and Climate Change Canada
Formats: PDF HTML NetCDF
Keywords:  large ensembles, regional climate model, climate
Federal

Multi-model ensembles of mean temperature based on projections from twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of mean temperature (°C) are available for the historical time period, 1901-2005, 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.

Last Updated: Oct. 2, 2018
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; temperature; cmip5, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, International, Climate, Climate change
Federal

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in mean temperature (°C) based on an ensemble of twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Projected change in mean temperature (°C) is with respect to the reference period of 1986-2005. The 5th, 25th, 50th, 75th and 95th percentiles of the ensembles of projected change in mean temperature change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in mean temperature (°C) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats.

Last Updated: Oct. 2, 2018
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; temperature; cmip5; anomaly, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
Federal

Seasonal and annual multi-model ensembles of projected relative change (also known as anomalies) in mean precipitation based on an ensemble of twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Projected relative change in mean precipitation is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensembles of mean precipitation change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in mean precipitation (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats.

Last Updated: Oct. 2, 2018
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; precipitation; cmip5; anomaly, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
Federal

Multi-model ensembles of mean precipitation based on projections from twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of mean precipitation (mm/day) are available for the historical time period, 1901-2005, 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.

Last Updated: Oct. 2, 2018
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; precipitation; cmip5, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, International, Climate, Climate change
Federal

Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in mean temperature (°C) 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). Downscaled daily mean temperature was calculated by averaging downscaled daily minimum and maximum temperature. Daily minimum and maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2).

Last Updated: Oct. 2, 2018
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
Federal

Statistically downscaled multi-model ensembles of mean temperature 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). Downscaled daily mean temperature was calculated by averaging downscaled daily minimum and maximum temperature. Daily minimum and maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2).

Last Updated: Oct. 2, 2018
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
Federal

The CanESM2 large ensembles are 50-member perturbed initial condition ensembles from 1950 to 2020, with all historical forcings (historical), solar and volcanic forcings only (historicalNat), anthropogenic aerosols only (historicalMisc, p4), and ozone only (historicalMisc, p6). The model, forcings, variable names and file formats all follow those used in the Coupled Model Intercomparison Project Phase 5 (CMIP5). Each of the five members of the existing CMIP5 historical ensemble had conditions perturbed in 1950 ten times to produce a new ensemble of fifty simulations starting in 1950, and a similar procedure was applied to the natural, aerosol and ozone-only ensembles. Simulations were run to 2005 using CMIP5 historical forcings and then to 2020 using RCP 8.5 forcings.

Last Updated: Mar. 13, 2020
Date Published: Oct. 16, 2017
Organization: Environment and Climate Change Canada
Formats: PDF HTML NetCDF
Keywords:  Climate, large ensembles, earth system model
Federal

Multi-model ensembles of snow depth based on projections from twenty-eight Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of snow depth (m) are available for the historical time period, 1900-2005, 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.

Last Updated: Oct. 2, 2018
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; snow; cmip5, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
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