ENV - Environment and conservation (environment)Environmental resources, protection, and conservation. For example, resources describing pollution, waste storage and treatment, environmental impact assessment, environmental risk, and nature reserves. )

The Air and Watershed Resource Management Contacts and Boundaries dataset is comprised of all the polygons that represent the Air and Watershed Stewardship districts and the manager to contact with questions or concerns about environmental framework implementation and management response. This dataset was created to lend support to the Regulatory Assurance Division.

This dataset provides projected sea surface temperature and salinity as well as projected ocean bottom temperature and salinity in the Northwest Atlantic under an intermediate emission scenario Representative Concentration Pathway (RCP) 4.5. The results are generated by a North Atlantic Ocean-ice Downscaling System (NAODS) that downscales the global Hedley Centre Global Environmental Model Version 2 with an Earth System component (HadGEM2-ES) output. NAODS couples a 1/12 ^o model for the northwest Atlantic with a 1/4 ^o model for the North Atlantic (Han et al., 2025). Bi-decadal means are included for 1986-2005, 2006-2025, 2026-2045, 2046-2065, 2066-2085, and 2080-2099, respectively.

Summer/Fall and Winter/Forest-Dwelling 2017 habitat model for caribou in the Itcha Ilgachuz area. [Season] field should be used to split the data out into separate summer/fall and winter/forest-dwelling habitat models. Model development is detailed in _Apps, C., and N. Dodd. 2016.. Caribou habitat modeling and evaluation of forest disturbance influences across landscape scales in west-central British Columbia – March, 2016. Prepared for Ministry of Forests, Lands and Natural Resource Operations, Williams Lake, British Columbia_. See also: https://catalogue.data.gov.bc.ca/dataset/7ea6556b-c113-4194-92f2-7ddb55a340b6 __Note: The 2001 habitat model covers a similar area, but is not replaced by the 2017 habitat model.__

The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours.

The objective of the Independent Environmental Monitoring Program (IEMP) is to build Indigenous and public trust in the Canadian Nuclear Safety Commission's (CNSC) regulation of the nuclear industry, via an independent, technical and accessible environmental sampling program around nuclear facilities, while using CNSC resources effectively and efficiently. For more information: www.Nuclearsafety.gc.ca/IEMP

This dataset contains the outputs for Bute Inlet from two simulations shown in the publication "Fjord circulation permits persistent subsurface water mass in a long, deep mid-latitude inlet" by Laura Bianucci et al., DFO Ocean Sciences Division, Pacific Region (published in the journal Ocean Science in 2024). The Finite Volume Community Ocean Model (FVCOM v4.1) was run with two different sets of initial conditions for the Discovery Islands region of British Columbia, Canada, from May 24 to June 27, 2019. The "Baseline" simulation used observed initial conditions, while the "Sensitivity" simulation removed the observed cold subsurface water mass from the initial profiles. Here in this dataset, we provide 29-day averages of the following variables in a transect along Bute Inlet: potential temperature, density, along-inlet velocity, and Brunt-Väisälä frequency (N^2). The averaging properly removes the tidal effects.

This map data displays environmentally impacted sites in Saskatchewan with location, confirmed substance and current status.The Ministry of Environment is responsible for regulating environmentally impacted sites in Saskatchewan to protect the environment and the public.  An environmentally impacted site is an area of land or water that contains a substance that may cause or is causing an adverse effect.An adverse effect is an impairment of or damage to the environment or harm to human health caused by any chemical, physical or biological alterations or any combination of them.Please note: information may take up to 30 days to be updated and is subject to change at any time.For further information, please contact the Ministry of Environment Inquiry Centre (Toll Free): 800-567-4224, centre.inquiry@gov.sk.ca or visit the environmentally impacted sites page on Saskatchewan.ca. Terms and definitionsObject ID: An internal GeoHub record ID number. This number can be ignored.  Case ID: The Case ID is the ministry’s file number – a unique identifier. It is NOT the date the site became impacted.  Status – The stages of management for an environmentally impacted site.   Notification: The ministry has received notification that pollutants have been discovered at the site.  The concentration of this pollutant exceeds the threshold outlined in the Saskatchewan Environmental Code and must be reported. The pollutants may cause an adverse effect to the environment or human health. The ministry has been made aware of this and has determined that the site is an environmentally impacted site. Assessment: The site is currently undergoing, or has recently completed, analysis to determine the cause, nature or extent of potential or existing adverse effect (e.g. a Phase 2 Environmental Site Assessment). Corrective Action Plan: The site is currently undergoing, or has recently completed, activity that aims to prevent, minimize, mitigate, remedy or reclaim adverse effects (e.g. removal of impacts by excavation). Closure: This is a historical status term for environmentally impacted sites that is no longer used. The Notice of Site Condition status replaces the former status of Closure. It indicates that corrective actions have been completed at the site, endpoints have been achieved and an updated environmental status of the site has been provided to the ministry. However, no application has been made for a Notice of Site Condition certificate.  Notice of Site Condition: The ministry is satisfied that an acceptable risk level exists for the area of the site addressed in the corrective action plan. Confirmed substance: The substances of concern at the site. Examples that may cause an adverse effect are petroleum hydrocarbons, toxic metals, air pollutants, acids and solvents.

Monthly mean currents from Bedford Institute of Oceanography North Atlantic Model (BNAM) results were averaged over 1990 to 2015 period to create monthly mean climatology for the Northwest Atlantic Ocean, which can be considered as a representation of the climatological state of the Northwest Atlantic Ocean. The BNAM model is eddy-resolving, NEMO-based ice-ocean coupled North Atlantic Ocean model developed at the Bedford Institute of Oceanography (BIO) to support DFO monitoring programs. The data available here is monthly climatology for eight selected depths (surface, 110 m, 156 m, 222 m, 318 m, 541 m, 1062 m, bottom) in 1/12 degree spatial resolution. The data for each month from 1990 until present for the entire model domain ( 8°–75°N latitude and 100°W–30°E longitude) and various depths is available upon request.The 1990-2017 model hindcast result is compared with observational data from surface drifter and satellite altimetry. The model demonstrates good skill in simulating surface currents, winter convection events in the Labrador Sea, and the Atlantic Meridional Overturning Circulation as observed at 26.5°N and 41°N. Model results have been used to interpret changes in the Labrador Current and observed warming events on the Scotian Shelf, and are reported through the annual AZMP Canadian Science Advisory Secretariat Process.When using data please cite following:Wang, Z., Lu, Y., Greenan, B., Brickman, D., and DeTracey, B., 2018. BNAM: An eddy resolving North Atlantic Ocean model to support ocean monitoring. Can. Tech. Rep. Hydrogr. Ocean. Sci. 327: vii + 18p

Monthly mean temperature from Bedford Institute of Oceanography North Atlantic Model (BNAM) results were averaged over 1990 to 2015 period to create monthly mean climatology for the Northwest Atlantic Ocean, which can be considered as a representation of the climatological state of the Northwest Atlantic Ocean. The BNAM model is eddy-resolving, NEMO-based ice-ocean coupled North Atlantic Ocean model developed at the Bedford Institute of Oceanography (BIO) to support DFO monitoring programs. The data available here is monthly climatology for eight selected depths (surface, 110 m, 156 m, 222 m, 318 m, 541 m, 1062 m, bottom) in 1/12 degree spatial resolution. The data for each month from 1990 until present for the entire model domain ( 8°–75°N latitude and 100°W–30°E longitude) and various depths is available upon request.The 1990-2017 model hindcast result is compared with observational data from surface drifter and satellite altimetry. The model demonstrates good skill in simulating surface currents, winter convection events in the Labrador Sea, and the Atlantic Meridional Overturning Circulation as observed at 26.5°N and 41°N. Model results have been used to interpret changes in the Labrador Current and observed warming events on the Scotian Shelf, and are reported through the annual AZMP Canadian Science Advisory Secretariat Process.When using data please cite following:Wang, Z., Lu, Y., Greenan, B., Brickman, D., and DeTracey, B., 2018. BNAM: An eddy resolving North Atlantic Ocean model to support ocean monitoring. Can. Tech. Rep. Hydrogr. Ocean. Sci. 327: vii + 18p