The Agriculture and Agri-Food Canada’s (AAFC) Watersheds Project level series supplies a number of watershed and watershed related datasets for the Prairie Provinces. The levels are greater or smaller assemblages of hydrometric areas, or the components defining them. The Project is organized by hydrometric gauging stations which are sourced from Environment Canada, the United States, and Canadian provinces. Additional stations were generated to address structural issues, like river confluences or lake inlets. Collectively, they are referred to as the gauging stations, or simply, the stations. The drainage area that each station monitors, between itself and one or more of its upstream neighbours, is called an ‘incremental gross drainage area’. The incremental gross drainage areas are collected into larger or smaller groupings based on size or defined interest to generate the various ‘levels ’of the series. They include: Basins of varying size: 1. Major drainage systems (3): Arctic Ocean, Hudson Bay and Gulf of Mexico; 2. Major basins (23): associated with river or lake reaches; 3. Project sub-basins (47): created specifically for the project; 4. Sub-basins (51): based on specific Environment Canada hydrometric gauging station locations; 5. Sub-sub-basins (311): based on specific Environment Canada hydrometric gauging station locations); Incremental drainage areas: 6. Incremental gross drainage areas: one per gauging station. The incremental gross drainage areas are further subdivided into portions that either contribute or do not contribute to drainage to an average runoff event. The portions that do contribute are called ‘effective drainage’ areas, while those that don’t are called ‘non-contributing’. These generate the following levels: 7. Incremental effective drainage areas; and 8. Incremental non-contributing areas. Total drainage areas: 9. Total gross drainage areas; 10. Total effective drainage areas; and 11. Total non-contributing areas; And when combined for the entire project, yields the: 12. Effective drainage area. The series also includes the components: 13. The gauging stations; 14. The collection of boundaries (lines) of the gross incremental drainage areas as well as the boundaries that separate contributing from non-contributing areas for an average runoff event; and 15. A network of downstream-directed lines that connect the gauging stations. All linework is derived from large scale topographic data. One additional non-spatial dataset, a table of tallied values by gauging station, is provided: 16. The Project Gauging Station Table. The Project area, designed for the Prairie Provinces, covers all of Alberta, Saskatchewan and Manitoba, and those portions of British Columbia, Northwest Territories, Nunavut, Ontario, and the United States that are required to complete the trans-border sections of the watersheds. Since 1975 the AAFC Watersheds Project has systematically collected and refined watershed boundaries for the Prairies. The result is the authoritative source for gross and effective drainage areas in the Prairie Provinces. The initial 1:50,000 analog delineations were moved to their digital form in 1994. Since then, the delineations have increased in accuracy and extent, and the series levels have increased to 16 in number.

The Wastewater Systems Effluent Regulations (WSER), developed under the Fisheries Act, came into force in 2012 to manage wastewater releases by systems that collect an average daily influent volume of 100 cubic metres or more. The WSER also does not apply to any wastewater system located in the Northwest Territories, Nunavut and north of the 54th parallel in the provinces of Quebec and Newfoundland and Labrador. The WSER set national baseline effluent quality standards that are achievable through secondary wastewater treatment. The province of Quebec provided some combined sewer overflow data for 2020, which includes information on whether a discharge occurred at a combined sewer overflow point during the year. The map below shows the number of CSO points with at least one overflow event within each wastewater system. The map is available in both ESRI REST (to use with ARC GIS) and WMS (open source) formats. For more information about the individual reporting wastewater systems, datasets are available in either CSV or XLS formats. More information on the wastewater sector including the regulations, agreements, contacts and resource documents is available at: https://www.canada.ca/wastewater

Climate Normals and Averages are used to summarize or describe the average climatic conditions of a particular location. At the completion of each decade, Environment and Climate Change Canada updates its Climate Normals for as many locations and as many climatic characteristics as possible. The Climate Normals, Averages and Extremes offered here are based on Canadian climate stations with at least 15 years of data between 1981 to 2010.

The “AAFC Annual Unit Runoff in Canada" data series illustrates runoff trends across the country by isolines of annual unit runoff for a variety of probabilities of exceedence commonly used by decision makers Annual unit runoff is a measure of runoff volume per square kilometre. This series uses units of cubic decametres (1000 m3) per square kilometre (dam3/km2), which is equivalent to millimetres depth on the landscape. It includes a point data set for the hydrologic stations that were analyzed and seven sets of line work to show the adjusted isolines for 10%, 25%, 50%, 70%, 75%, 80%, and 90% probability of exceedence.

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in sea ice thickness, based on an ensemble of twenty-six Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Projected change in sea ice thickness 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 sea ice thickness 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 sea ice thickness (%) 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.

30-year Average Number of Days with Temperature above 25 °C are defined as the count of the number of climate days during the month where the maximum daily temperature was greater than 25 °C. These values are calculated across Canada in 10x10 km cells.

The Standardized Precipitation Evapotranspiration Index (SPEI) is computed similarly to the SPI. The main difference is that SPI assesses precipitation variance, while SPEI also considers demand from evapotranspiration which is subtracted from any precipitation accumulation prior to assessment. Unlike the SPI, the SPEI captures the main impact of increased temperatures on water demand.

Total soil moisture is the modelled amount of plant available water (mm) in the root zone of the soil. The value given is the amount calculated to be present on the modeled day of the product. Values are computed using the Versatile Soil Moisture Budget (VSMB)

Waterfowl and mammals harvested and trapped at various locations in the oil sands region and in reference locations are assessed for contaminant burdens and toxicology. Wildlife samples are obtained from local hunters and trappers. Tissue samples are analysed for concentrations of oil sands-related contaminants (heavy metals, polycyclic aromatic hydrocarbons, and naphthenic acids). Dead and moribund birds collected from tailing ponds are also evaluated for levels and effects of contaminants.

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.