PURPOSE: Freshwater discharge is used to force eastern Canadian ocean models DESCRIPTION: Neural network post-processed WRF-Hydro streamflow timeseries at 477 oceanic river outlets, where lat/lon are proxy position, riverlat/lon are outlet position, and oceanlat/lon are ocean pour points that are displaced slightly into the ocean (next to outlet position on the WRF-Hydro grid). The 477 eastern Canadian rivers were modelled using WRF-Hydro, which was forced by four CMIP models subject to WRF downscaling of atmospheric forcing. The four models are an NCAR Community Climate System Model (CCSM-4 SSP5 8.5) simulation (Meehl et al., 2012), two Met Office Hadley Centre Global Environmental Model (HadGEM2 SSP2 4.5 and SSP5 8.5) simulations (Collins et al., 2011), and a Max Planck Institute for Meteorology Earth System Model (MPI-ESM1.2-LR SSP5 8.5) simulation (Mauritsen et al., 2019). Variables and their descriptions are included in the NetCDF file. USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

CHS offers 500-metre bathymetric gridded data for users interested in the topography of the seafloor. This data provides seafloor depth in metres and is accessible for download as predefined areas.

CHS offers 500-metre bathymetric gridded data for users interested in the topography of the seafloor. This data provides seafloor depth in metres and is accessible for download as predefined areas.

To develop a database of high quality CTD observations at key locations in DFO’s Pacific Region, 22 stations have been selected for sampling as often as possible. Chief Scientists of DFO vessels with CTD equipment on board are asked to acquire a CTD profile at as many of these stations as possible. There may be circumstances that will prevent conducting a CTD cast but the intent is to collect as many as possible such that over time useful time series of CTD profiles will be available at these locations.

The Canadian Weathership Program collected meteorological data at Station Papa (50N, 145W) in the North Pacific Ocean between 1949 and 1981. In 2014, researchers at the University of Washington (UW) Applied Physics Laboratory (APL) and the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory (PMEL) analyzed this historic data to determine its efficacy as a scientific tool. The data available here are the Government of Canada data files that were utilized for this analysis. The "OWSP Full Data (1949-1981)" file contains the entire Canadian Weathership Program record of data collected from Station Papa and the "OWSP Daily Averaged Wind Speed and Wave Height Data (1949-1981)" file contains daily averaged values of wind speed and wave height generated by the UW APL and NOAA PMEL researchers. The Data Dictionary for each data file contains notes on any quality controls that were applied to the data by the UW APL and NOAA PMEL researchers. The UW documents titled, "Data Documentation for Dataset 1170 (DSI-1170), Surface Marine Data, National Climatic Data Center" (https://digital.lib.washington.edu/researchworks/bitstream/handle/1773/25570/td1170.pdf?sequence=6&isAllowed=y) and "Table detailing units of data values in each file" (https://digital.lib.washington.edu/researchworks/handle/1773/25570), provide further information on the key values, point scales, and other units that were used in these datasets.

Climatological monthly-mean temperature and salinity data were computed for each of the 27 Line P stations (https://www.dfo-mpo.gc.ca/science/data-donnees/line-p/index-eng.html). For any particular station, data were accepted as belonging to that station if the location was within 10 km of the intended station (or 24km at Ocean Station Papa, P26). Data were binned by month/year over all available data for each station up to and including 2012. Hence the time interval that the mean state was computed from starts between 1956 and 1960 and ends at the end of 2012. Standard deviations were computed for each month independently and at each 5-m depth bin and were estimated as the variability between different years for the month in question.

PURPOSE: Eastern Beaufort Sea beluga whales form one of the largest summering aggregations of the species in the Mackenzie Estuary. In 2010, the Tarium Niryutait Marine Protected Area (TNMPA) was designated to protect beluga whales and their habitats As a part of ongoing ecological monitoring efforts in the TN MPA, passive acoustic monitoring (PAM) was implemented in 2011 to act as continuous monitoring method, filling the temporal gaps associated with historical aerial surveys. Beginning in 2014, PAM effort increased each year, and oceanographic sensors were added to moorings to (1) better understand oceanographic conditions within the TN MPA and (2) examine the environmental parameters that drive beluga movement and habitat use patterns within the estuary. Several studies using this dataset have been completed, and others are ongoing. However, much more can be done with the acoustic and environmental data. The purpose of this report is to outline deployment methods and instrument settings for moorings to support the full use of the data collected. DESCRIPTION: Each summer, Eastern Beaufort Sea beluga whales form one of the largest aggregations of the species in the Mackenzie Estuary. In 2010, the Tarium Niryutait Marine Protected Area (TNMPA) was designated in the estuary to protect beluga whales and their habitats. As a part of ongoing ecological monitoring efforts in the TN MPA, passive acoustic monitoring (PAM) was implemented in 2011 to act as continuous monitoring method, filling the temporal gaps associated with historical aerial surveys. Beginning in 2014, PAM effort increased each year, and oceanographic sensors were added to each PAM mooring to (1) better understand oceanographic conditions (i.e., temperature, salinity, turbidity, and wave conditions) within the TN MPA and (2) to examine the environmental parameters that drive beluga movement and habitat use patterns within the estuary. Moorings have been deployed with varying configurations of oceanographic sensors in Kugmallit Bay since 2015, but typically record water temperature, salinity, depth, and wave conditions. In 2018, the program was expanded to the Niaqunnaq parcel of the MPA (Shallow Bay), and in 2021 it was expanded again to the Okeevik parcel of the MPA. These observatories have provided new knowledge about drivers of beluga habitat use in the TN MPA, in particular in Kittigaryuit, but more recently in Niaqunnaq and Okeevik.

This dataset includes fifteen GeoTIFFs of Sea Surface Temperature (SST) organized into five distinct marine regions along Canada's Pacific coast, derived from Sentinel 3 satellite data for the period of April-September 2017. For each region, three GeoTIFFs are provided which represent the mean, maximum, and standard deviation values of SST (degrees Celcius). Jupyter notebooks with Python code used for data downloading and processing are also included for reference. The primary objective of this dataset is to provide detailed, regional spatial information on SST for key areas of Canada's Pacific coast, including the nearshore environment. The data can be used for various applications including species distribution modelling. This dataset is intended to fill the knowledge gap by providing high-resolution, spatially explicit regional SST data for Canada's Pacific coast. Existing datasets may not provide sufficient spatial resolution or may not include comprehensive statistical measures (mean, max, standard deviation) of SST for these specific areas. The dataset is structured by region. For each of the five regions, a set of three related GeoTIFFs is provided, representing the mean, max, and standard deviation of SST. Within each regional set, the three layers share the same spatial reference system, resolution, and extent, making them suitable for direct use in analytical stacks (e.g., for species distribution models). The Sentinel-3 satellites, part of the European Union's Copernicus Programme, are equipped with the Sea and Land Surface Temperature Radiometer (SLSTR) which measures SST among other parameters. The SST data products in this dataset are derived from Sentinel-3 satellite data. The intent of the data is to represent the marine environment and so a mask that excludes land was applied during data download and extraction. The SST data products have been resampled using a bilinear interpolation from their native resolution to a 20 m resolution to provide more detailed spatial information.