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.

Canada Borehole Temperatures, provided by the Canadian Geothermal Data Compilation

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).

The province of PEI has been monitoring dissolved oxygen in some Island estuaries since 2015.

The province of PEI has been monitoring dissolved oxygen in some Island estuaries since 2015.

[ARCHIVED] Recommendation is to discontinue the “Nova Scotia Groundwater Observation Well Temperature Data”. This is for scientific / technical reasons. The data was never designed to be collected as a dataset on its own, but is used by sensors to create a correction facter for other data (groundwater levels). Developments in academic research show that the type of water wells we monitor for groundwater levels do not have the correct design for measuring temperature, with issues that include the potential within wells for thermal convection cells that cause groundwater temperature readings to fluctuate inconsistently. Groundwater temperatures have been recorded from the NS Groundwater Observation Well monitoring network since 2003. This temperature data is presented as daily averages and may be influenced by a number of variable factors including air temperature, well construction, depth, geology and groundwater conditions.

PURPOSE: This study is part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake. The main objectives are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality are monitored to evaluate potential effects of change on fisheries. DESCRIPTION: Great Bear Lake, one of the largest lakes in North America, contains culturally and recreationally important fish species. Great Bear Lake is located in the sub-Arctic and Arctic Circle. As part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake, the main objectives of this study are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality are monitored to evaluate potential effects of change on fisheries. From 2000 to 2011, surface water temperature data was collected at depths of approximately 0.1 to 1.0 meters using a handheld digital thermometer through partnered community-led and community/Fisheries and Oceans Canada/ university partners collaborative sampling. The project has strong community involvement, including youth through the Guardian Program, to facilitate capacity building and community leadership in the long-term monitoring of Great Bear Lake fisheries and the aquatic ecosystem. This data is the beginning in a series of baseline data sets on water quality from this lake. These data will contribute to a better understanding of cumulative impacts of climate change on the functioning of large northern lake ecosystems, and provide a benchmark for monitoring further change. This data will be important for developing effective strategies for maintaining community-led aquatic monitoring and managing natural resources, particularly fish, which are expected to be increasingly important to communities with declines in other country foods such as caribou. We acknowledge the data were collected in the Sahtú Settlement Area and are made publicly available with the agreement of the Délı̨nę Renewable Resources Council (Délı̨nę Ɂehdzo Got’ı̨nę (Renewable Resources Council)). Collaborators include: the Community of Délı̨nę partners (data collection), Délı̨nę Renewable Resource Council, Sahtú Renewable Resource Board, Great Lakes Fisheries Commission, and University of Alberta. Community of Délı̨nę partners and field workers that participated in data collection include Jane Baptiste, Doug Baton, Moise Beyonnie, Gloria Gaudette, Bruce Kenny, Greg Kenny, Hughie Kenny, Jonas Kenny, Morris Lennie, George Menacho, Morris Modeste, Nathan Modeste, Isreal Neyelle, Lyle Neyelle, Clyde Takazo, Lucy Ann Takazo, Freddie Vital, Cameron Yukon, Cyre Yukon, Tyrone Yukon, Charity Yukon, Chris Yukon, Archie Vital, John Betsidea, and Barbara Yukon. Funding and logistical support was provided by: Northwest Territories Cumulative Impact Monitoring, Sahtú Renewable Resource Board, the Polar Continental Shelf Program, Canadian Circumpolar Institute, Natural Sciences and Engineering Research Council of Canada, Government of Northwest Territories Renewable Resources Délı̨nę, and Fisheries and Oceans Canada.

Hydrographical measurements (pressure, temperature, salinity) undertaken within German Greenland Survey. The dataset contains temperature and salinity profiles taken at haul positions. The data are interpolated vertically into 1-m depth intervals.Data are structured in 2D. However, by the value of water pressure the vertical axis is given.

Locations of sampling stations for sensor strings deployed as part of the Centre for Marine Applied Research's (CMAR) Coastal Monitoring Program. Sensor strings record high-resolution temperature, dissolved oxygen, and intermittent salinity data at various depths, typically for several months. The dataset for each county is available at https://data.novascotia.ca/browse?Detailed-Metadata_Department=Fisheries+and+Aquaculture&tags=coastal+monitoring+program For more information on CMAR and the Coastal Monitoring Program go to: https://cmar.ca/reports/