RI_540
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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. The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled minimum temperature (°C) are available for the historical time period, 1951-2005, 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.
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The Pan-Canadian Wind Integration Study (PCWIS), completed in 2016, assessed the operational and economic implications of integrating large amounts of wind energy into the Canadian electricity system. The PCWIS study generated a significant amount of high-resolution modelled wind data at many locations across Canada. This dataset contains over 54,000 “cells”, with each cell representing one node on a 2×2 km grid. Each cell has an associated time history of three years of modelled wind data, from 2008 to 2010, at 10-minute intervals. The interactive map allows a user to readily visualize the geographic distribution of Canada’s wind resources, as well as to quickly estimate the strength of the wind resource at a particular location.
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The Agri-Environmental Indicator Risk of Water Contamination by Coliforms provides two variables including the Soil Coliform Load and the Coliform Risk to Water. The Soil Coliform Load indicator is the estimated accumulation of coliforms on the soil and the Coliform Risk to Water indicator is the relative risk of coliforms getting into the waterways. Products in this data series present results for predefined areas as defined by the Soil Landscapes of Canada (SLC v.3.2) data series, uniquely identified by SOIL_LANDSCAPE_ID values.
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The health of individual amphibians, amphibian populations, and their wetland habitats are monitored in the oil sands region and at reference locations. Contaminants assessments are done at all sites. Amphibians developing near oil sands activities may be exposed to concentrations of oil sands-related contaminants, through air emissions as well as water contamination. The focus of field investigations is to evaluate the health of wild amphibian populations at varying distances from oil sands operations. Wood frog (Lithobates sylvaticus) populations are being studied in Alberta, Saskatchewan and the Northwest Territories in order to examine the relationship of proximity to oil sands activities and to prevalence of infectious diseases, malformation rates, endocrine and stress responses, genotoxicity, and concentrations of heavy metals, naphthenic acids and polycyclic aromatic hydrocarbons.
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The Georgia Basin Boundary dataset displays the extent of the Georgia Basin Ecosystem Initiative undertaken by the federal, provincial, and municipal governments. The objectives of the project are to support initiatives for clean air, clean water, habitat and species protection, and improved environmental decision-making in the Georgia Basin. The dataset consists of both a polygon layer and line layer
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Nova Scotia provincial ambient air quality monitoring stations, including locations and other attributes.
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Determines the location of Coal Titles within the Province of British Columbia. It is established under the authority of the Petroleum and Natural Gas Grid Regulation. It is defined by a set of UTM coordinates which approximate NAD 27 latitude and longitude positions. Mapsheets are the coarsest component of the grid and approximate 1:250,000 NTS map sheets. E.G. 093A
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List and geolocation of establishments of the Conservatory of Music and Dramatic Art of Quebec.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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List and geolocation of community media recognized or supported by the Operational Assistance Program for Community Media of the Ministry of Culture and Communications in 2015-2016 (https://www.mcc.gouv.qc.ca/index.php?id=1999).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Peatlands cover approximately 12% of the Canadian landscape and play an important role in the carbon cycle through their centennial to millennial-scale storage of carbon under waterlogged and anoxic conditions. In recognizing the potential of these ecosystems as natural climate solutions and therefore the need to include them in national greenhouse gas inventories, the Canadian Model for Peatlands module (CaMP v. 2.0) was developed by the Canadian Forest Service. Model parameterization included compiling peat profiles across Canada to calibrate peat decomposition rates from different peatland types, to define typical bulk density profiles, and to describe the hydrological (i.e., water table) response of peatlands to climatic changes. A total of 1,217 sites were included in the dataset from published and unpublished sources. The CORESITES table contains site location and summary data for each profile, as well as an estimate of total carbon mass per unit area (megagrams C ha-1). Total carbon mass per unit area at each location was calculated using bulk density and carbon content through each profile. The PROFILES table contains data for depth (cm), bulk density (g cm-3), ash and carbon content (%), and material descriptions for contiguous samples through each peat profile. Data gaps for bulk density and C content were filled using interpolation, regression trees, and assigned values based on material description and/or soil classification to allow for the estimation of total carbon mass per unit area. A subset of the sites (N = 374) also have pH and pore water trace-elemental geochemistry data and are found in the WATER table. The REFERENCES table contains the full citation of each source of the data and is linked to each core location through the SOURCEDATA table. The LOOKUP table defines codes in the database that required more space than what was sufficient in the metadata tables. The data will be useful for future work on carbon stock mapping and ecosystem modelling.
Arctic SDI catalogue