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Found 10 records similar to Canadian Gridded Temperature Anomalies

Federal

Seasonal and annual trends of mean surface air temperature change (degrees Celsius) for 1948-2016 based on Canadian gridded data (CANGRD) are available at a 50km resolution across Canada. Temperature trends represent the departure from a mean reference period (1961-1990). CANGRD data are interpolated from adjusted and homogenized climate station data (i.e., AHCCD datasets). Homogenized climate 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 WCS HTML
Keywords:  temperature; gridding; interpolation; adjusted; homogenized; trend; 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

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

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

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: Feb. 22, 2022
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 projected change (also known as anomalies) in minimum 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). Daily minimum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded minimum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target.

Last Updated: Feb. 22, 2022
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 projected change (also known as anomalies) in maximum 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). Daily maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded maximum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target.

Last Updated: Feb. 22, 2022
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

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: 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; anomaly, 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: Feb. 22, 2022
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 minimum 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). Daily minimum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded minimum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target.

Last Updated: Feb. 22, 2022
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
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