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We have found 55 datasets for the keyword " 84f". You can continue exploring the search results in the list below.
Datasets: 106,156
Contributors: 42
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55 Datasets, Page 1 of 6
Surficial Geology of the Carcajou Area (NTS 84F/NW) (GIS data, permafrost polygon features)
This GIS dataset depicts the surficial geology of the Carcajou area (NTS 84F/NW) (discontinuous permafrost features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the permafrost polygon features of Alberta Geological Survey Map 580, Surficial Geology of the Carcajou Area (NTS 84F/NW).
Surficial Geology of the Slims Creek Area (NTS 84F/SW) (GIS data, line features)
This GIS dataset depicts the surficial geology of the Slims Creek area (NTS 84F/SW) (GIS data, line features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the line features of Alberta Geological Survey Map 581, Surficial Geology of the Slims Creek Area (NTS 84F/SW).
Surficial Geology of the Carcajou Area (NTS 84F/NW) (GIS data, line features)
This GIS dataset depicts the surficial geology of the Carcajou area (NTS 84F/NW) (GIS data, line features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the line features of Alberta Geological Survey Map 580, Surficial Geology of the Carcajou Area (NTS 84F/NW).
Surficial Geology of the Carcajou Area (NTS 84F/NW) (GIS data, polygon features)
This GIS dataset depicts the surficial geology of the Carcajou area (NTS 84F/NW) (GIS data, polygon features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the polygon features of Alberta Geological Survey Map 580, Surficial Geology of the Carcajou Area (NTS 84F/NW).
Surficial Geology of the Slims Creek Area (NTS 84F/SW) (GIS data, permafrost polygon features)
This GIS dataset depicts the surficial geology of the Slims Creek area (NTS 84F/SW) (discontinuous permafrost features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the permafrost polygon features of Alberta Geological Survey Map 581, Surficial Geology of the Slims Creek Area (NTS 84F/SW).
Surficial Geology of the Slims Creek Area (NTS 84F/SW) (GIS data, polygon features)
This GIS dataset depicts the surficial geology of the Slims Creek area (NTS 84F/SW) (GIS data, polygon features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the polygon features of Alberta Geological Survey Map 581, Surficial Geology of the Slims Creek Area (NTS 84F/SW).
Minimum Temperature (°C)
Minimum Temperature represents the lowest recorded temperature value (°C) at each location for a given time period. Time periods include the previous 24 hours and the previous 7 days from the available date where a climate day starts at 0600UTC.
Projected Temperature change based on CMIP5 multi-model ensembles
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. 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.
Maximum Temperature (°C)
Maximum Temperature represents the highest recorded temperature value (°C) at each location for a given time period. Time periods include the previous 24 hours and the previous 7 days from the available date where a climate day starts at 0600UTC.
Statistically downscaled scenarios of projected mean temperature change
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). Historical gridded minimum and maximum temperature datasets of Canada (ANUSPLIN) were used as the respective downscaling targets. Projected change in mean temperature (°C) is with respect to the reference period of 1986-2005. Seasonal and annual averages of projected mean temperature change to 1986-2005 are provided. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the downscaled ensembles of 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 statistically downscaled minimum 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. The median projected change across the ensemble of downscaled 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.
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