Projected surface Wind Speed change based on CMIP5 multi-model ensembles
Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in surface wind speed based on an ensemble of twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Projected change in wind speed 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 ensemble of wind speed change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.
Twenty-year average changes in wind speed (%) 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. The median projected change across the ensemble of CMIP5 climate models is provided.
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.
- Publisher - Current Organization Name: Environment and Climate Change Canada
- Licence: Open Government Licence - Canada
Data and Resources
View Data MartHTMLEnglish dataset HTML
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Climate Data ViewerHTMLEnglish application HTML
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Climate Data Extraction ToolHTMLEnglish French application HTML
GeoMet WMS (EN)WMSEnglish web_service WMS
GeoMet WMS (FR)WMSFrench web_service WMS
GeoMet WCS (EN)GeoTIFEnglish web_service GeoTIF
GeoMet WCS (FR)GeoTIFFrench web_service GeoTIF
Canadian Climate Data and Scenarios ENNetCDFEnglish application NetCDF
Canadian Climate Data and Scenarios FRNetCDFFrench application NetCDF
Data Collection MethodologyPDFEnglish guide PDF
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View ECCC Data Mart (English)HTMLEnglish web_service HTML
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|Projected surface Wind Speed change based on CMIP5 multi-model ensembles|
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