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Found 10 records similar to Trend of Mean Temperature for 1948-2016 based on Canadian gridded data

Federal

Seasonal and annual trends of relative total precipitation change (%) for 1948-2012 based on Canadian gridded data (CANGRD) are available, at a 50km resolution across Canada. The relative trends reflect the percent change in total precipitation over a period from the baseline value (defined as the average over 1961-1990 as the reference period). CANGRD data are interpolated from adjusted and homogenized climate station data (i.e., AHCCD datasets). Adjusted precipitation data incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation.

Last Updated: Feb. 22, 2022
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML TAB
Keywords:  precipitation; gridding; interpolation; adjusted; homogenized; trend; climate; climate change, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
Federal

Gridded monthly, seasonal and annual mean temperature anomalies derived from daily minimum, maximum and mean surface air temperatures (degrees Celsius) is available at a 50km resolution across Canada. The Canadian gridded data (CANGRD) are interpolated from homogenized temperature (i.e., AHCCD datasets). Homogenized temperatures incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The anomalies are the difference between the temperature for a given year or season and a baseline value (defined as the average over 1961-1990 as the reference period).

Last Updated: Feb. 22, 2022
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF WCS HTML
Keywords:  temperature; gridding; interpolation; adjusted; homogenized; anomaly; minimum; maximum; mean; climate; climate change, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
Federal

Gridded monthly, seasonal and annual anomalies derived from daily total precipitation is available at a 50km resolution across Canada. The Canadian gridded data (CANGRD) are interpolated from adjusted precipitation (i.e., AHCCD datasets). Adjusted precipitation data incorporate adjustments to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The anomalies are the percentage difference between the value for a given year or season and a baseline value (defined as the average over 1961-1990 as the reference period).

Last Updated: Feb. 22, 2022
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML TAB
Keywords:  precipitation; gridding; interpolation; adjusted; homogenized; anomaly; climate; climate change, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
Federal

CANGRD is a set of Canadian gridded annual, seasonal, and monthly temperature and precipitation anomalies, which were interpolated from stations in the Adjusted and Homogenized Canadian Climate Data (AHCCD); it is used to produce the Climate Trends and Variations Bulletin (CTVB).

Last Updated: Feb. 22, 2022
Date Published: Jan. 1, 2014
Organization: Environment and Climate Change Canada
Formats: WMS PDF WCS HTML
Keywords:  temperature; precipitation; gridding; interpolation; Canada, 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 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: Feb. 22, 2022
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

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: Feb. 22, 2022
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
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: Feb. 22, 2022
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

Multi-model ensembles of sea ice concentration 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 sea ice concentration as represented as the percentage (%) of grid cell area, 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: Feb. 22, 2022
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; sea ice; cmip5, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, International, Climate, Climate change
Federal

Multi-model ensembles of surface wind speed based on projections from twenty-nine 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 surface wind speed (m/s) 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: Feb. 22, 2022
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; wind; cmip5, 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 sea ice thickness based on projections from twenty-six 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 sea ice thickness (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: Feb. 22, 2022
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; sea ice; 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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