This server provides Web Services which adhere to Open Geospatial Consortium (OGC) Web Service Implementation Specifications. Environment Canada works to preserve and enhance the quality of the natural environment; conserve Canada's renewable resources; conserve and protect Canada's water resources; carry out meteorology and provide weather forecasts; enforce rules relating to boundary waters; and, coordinate environmental policies and programs for the federal government.

The Canadian Aquatic Biomonitoring Network (CABIN) is an integrated national network for the collection, management, assessment, and distribution of bioassessment data. CABIN aims to provide long-term monitoring and assessment of aquatic ecosystem health by utilizing the Reference Condition Approach (RCA) applied to benthic macro-invertebrates. The CABIN web portal provides access to sampling protocols, on-line data entry and management, and on-line analytical, reporting and visualization tools. Participation in CABIN is encouraged at all levels of expertise; groups interested in becoming involved can contact the program coordinator through the web page (cabin.cciw.ca).

The Canadian Aquatic Biomonitoring Network (CABIN) is an integrated national network for the collection, management, assessment, and distribution of bioassessment data. CABIN aims to provide long-term monitoring and assessment of aquatic ecosystem health by utilizing the Reference Condition Approach (RCA) applied to benthic macro-invertebrates. The CABIN web portal provides access to sampling protocols, on-line data entry and management, and on-line analytical, reporting and visualization tools. Participation in CABIN is encouraged at all levels of expertise; groups interested in becoming involved can contact the program coordinator through the web page (cabin-rcba.ec.gc.ca).

Pacific and Yukon Region's long term water quality monitoring stations

This project combines water quality (ENVIRODAT) and water quantity (HYDAT) data to compute annual chemical loads in Pacific and Yukon Region. Chemical loads are estimated based on several statistical estimators. A module has been developed to guide which statistical estimators is used to predict annual chemical loads for a given location. Chemical loads are estimated where water quantity and quality stations are co-located. This project enhances the use of water quality and quantity data, and increases the abilities of the individuals to predict the loading estimates of chemicals. It provides direct access to integrated data and information at the station level. This loading estimates information can then be used to as the input to models such as nutrients and sediment transport to provide further water quality and/or water quantity information at the regional level. This project also provides OGC compliant Web Mapping Service layers for both water quality and quantity stations in Pacific and Yukon Region. Through these layers, users can easily get access to both annual loading estimates and real-time or archived hydrometric data. A number of web services are also made available for users to download station level metadata, water quality and quantity data.

The Canadian Aquatic Biomonitoring Network (CABIN) is an integrated national network for the collection, management, assessment, and distribution of bioassessment data. CABIN aims to provide long-term monitoring and assessment of aquatic ecosystem health by utilizing the Reference Condition Approach (RCA) applied to benthic macro-invertebrates. The CABIN web portal provides access to sampling protocols, on-line data entry and management, and on-line analytical, reporting and visualization tools. Participation in CABIN is encouraged at all levels of expertise; groups interested in becoming involved can contact the program coordinator through the web page (cabin.cciw.ca).

The Canadian Aquatic Biomonitoring Network (CABIN) is an integrated national network for the collection, management, assessment, and distribution of bioassessment data. CABIN aims to provide long-term monitoring and assessment of aquatic ecosystem health by utilizing the Reference Condition Approach (RCA) applied to benthic macro-invertebrates. The CABIN web portal provides access to sampling protocols, on-line data entry and management, and on-line analytical, reporting and visualization tools. Participation in CABIN is encouraged at all levels of expertise; groups interested in becoming involved can contact the program coordinator through the web page (cabin-rcba.ec.gc.ca).

This CLIMATE CHANGE service is a component of a hybrid WEB/GIS online mapping application developed by Environment Canada (EC) with funding support from the Climate Change Action Fund (CCAF) and GeoConnections. It gives access to analyses of both historical climate data, and projected climate change scenarios, developed from the Statistical Downscaling Model (SDSM), using global grid scale projections from the Canadian Global Circulation Model 1 (CGCM1), running the Green House Gas plus Aerosol emissions experiment (GHG+A1). Downscaled scenarios are available for three meteorological parameters; maximum daily temperature (Tmax); daily minimum temperature (Tmin), and total daily precipitation (Pcpn). Analyses were performed at 14 sites in Atlantic Canada for the historical period (1961-90), and for projections into the 2020's (2011-2040), the 2050's (2041-2070), and the 2080's (2071-2100). In addition extremes for maximum annual total 24-hour precipitation were analyzed using GUMBEL EV1 statistics for the 50 and 100 year return period values projected out to 2100. STARDEX (Statistical and Regional dynamical Downscaling of Extremes for European regions) software was used to identify meteorological extremes (both seasonal and annual) for some 24 precipitation and 33 temperature indices out to 2100.

This CLIMATE CHANGE service is a component of a hybrid WEB/GIS online mapping application developed by Environment Canada (EC) with funding support from the Climate Change Action Fund (CCAF) and GeoConnections. It gives access to analyses of both historical climate data, and projected climate change scenarios, developed from the Statistical Downscaling Model (SDSM), using global grid scale projections from the Canadian Global Circulation Model 1 (CGCM1), running the Green House Gas plus Aerosol emissions experiment (GHG+A1). Downscaled scenarios are available for three meteorological parameters; maximum daily temperature (Tmax); daily minimum temperature (Tmin), and total daily precipitation (Pcpn). Contours are generated using data from 14 sites in Atlantic Canada for the historical period (1961-90), and for projections into the 2020's (2011-2040), the 2050's (2041-2070), and the 2080's (2071-2100).

MSC (The Meteorological Service of Canada) has collected historical atmospheric data from 1850 to present and continues to collect this data. The atmospheric data is collected by measuring wind speeds, atmospheric pressure, translation speed of the system, and the coordinate information of the measurement location, and the date/time every six hours. This data is categorized by storm and each storm is given a name and classification based on its maximum wind speed out of its six hour readings. This service delivers all available storm measurement data.