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Open Water Days in Hudson Bay
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-11 The dataset lists the length of the open water period (in days, ice concentration below 15%), the day of ice break-up and the day of freeze-up for the sampling stations of the BaySys cruise in Hudson Bay in June/July 2018. The data was extracted from passive microwave data.
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Repulse Bay Moorings and CTDs 2019-2022
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-11-03 This dataset contains CTDs (salinity, temperature, pressure) and mooring data (salinity, temperature, pressure, TDS) at a number of depths and areas around Repulse Bay, Niaqungu River, and Niaqungu Lake from 2019-2022. Moorings were ice tethered and collected data continuously throughout the spring until ice break up in June. Moorings used a sampling interval of 15 minutes.
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Particulate organic carbon in ice and water - Hudson Bay 2018
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-15 These datasets include measurements of particulate organic and total carbon of: - Bottom-ice algal communities and Melosira arctica - Phytoplankton and melt pond communities. Data were collected in Hudson Bay and rivers exiting into the Bay during the BaySys cruise in June/ July 2018.
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Arctic Sea Ice Phenology in CMIP6
Centre for Earth Observation Science
Centre for Earth Observation Science — 2023-01-27 The seasonal timing of summer sea ice retreat (sea ice concentration falls below 15%) and fall sea ice advance (sea ice concentration rises above 15%) is recorded annually, as are the annual sea ice minimum, day of minimum, and the length of the open-water (i.e., ice-free) period. Data input is daily sea ice concentration from CMIP6 models that were run under four experiments: historical, ssp126, ssp245, and ssp585. The first ensemble member for each model and experiment is included. A single-model ensemble (MPI-ESM1-2-LR) with 10 members is also included for each experiment. All data are stored in NetCDF4 files on the same grids as the original model output.
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Sea-ice edge phytoplankton bloom
Centre for Earth Observation Science
Centre for Earth Observation Science — 2021-11-05 Satellite-derived sea-ice retreat timing (tR) and maximum chlorophyll-a concentration in the ice edge zone between 1998 and 2018. Sea ice concentration (SIC) was obtained from the National Snow and Ice Data Center. It is based on daily passive microwave radiometry processed using the Bootstrap algorithm (Comiso, 2000) at 25 km resolution. The Bootstrap technique clusters the multichannel passive microwave sensors: Scanning Multi- channel Microwave Radiometer on the Nimbus-7 satellite, Special Sensor Microwave/Imager and Special Sensor Microwave Imager/Sounder from the Defense Meteorological Satellite Program’s satellites, and the Advanced Microwave Scanning Radiometer (Comiso et al., 1997). SIC was interpolated onto the same Chla grid using the nearest neighborhood scheme implemented in Matlab. Multi-sensor merged clorophyll-a concentration (Chla) Level-3 (i.e., binned and mapped) 8-day composites from the Globcolour Project (http://www.globcolour.info/) were used as a proxy for phytoplankton biomass. Globcolour products have a spa- tial resolution of 4.63 km and cover the 1998–2018 period. The merged product was selected to improve the spatial-temporal coverage diminishing gaps due to cloud cover and sea-ice coverage (Maritorena et al., 2010). The binning methodology combines the normalized water- leaving radiances from different ocean color sensors whenever they are available, which includes SeaWiFS (1998–2010), MODIS-Aqua (2002–2018), Medium- Resolution Imaging Spectrometer (MERIS: 2002–2011), and Visible Infrared Imaging Radiometer Suite (VIIRS: 2012–2018). [Chla] was estimated from normalized water-leaving radiances merged using the Garver-Siegel- Maritorena (GSM) semi-analytical model (Garver and Siegel, 1997; Maritorena et al., 2002). To assess the impacts of sea-ice retreat timing on marginal ice zone phytoplankton blooms (also refers to phytoplankton spring blooms or ice-edge blooms), we analyzed both Chla and SIC variability in parallel. The method is similar to that of Perrette et al. (2011), which was also adopted by Lowry et al. (2014) and Renaut et al. (2018). The sea-ice retreat, tR, is defined as the day at which SIC is below 10% for at least 24 days. This time interval is longer than the 20 days applied by Perrette et al. (2011) and Renaut et al. (2018) and the 14 days by Lowry et al. (2014) because we used 8-day composites instead of daily maps. However, to avoid sub-pixel contamination in ice-infested regions near the ice edge (Be´langer et al., 2013), we opted to be more conservative by applying a 10% threshold on SIC, as did Perrette et al. (2011) and Renaut et al. (2018) instead of 50% as applied by Lowry et al. (2014). The maximum Chla observed in the ice edge zone was extracted for each pixel for each year, yielding one map of MIZ Chla per year.
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Semi & Hemi Data
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-05-30 The data collected within the Beaufort Sea used a helicopter-borne electromagnetic system called the Ice Pic. This system measures sea ice thickness without the ice observer having to exit the helicopter. The system operates by using low-frequency electromagnetic waves which pass through sea ice and reflect from the ice-sea boundary. The strength of the reflections are then compared to the distance from the sensor to the top of the snow/ice. This yields an accurate estimate of sea ice thickness. Within this resource you will find zipped data set files corresponding to the year that the data was collected along with the metadata describing each data set. Also included are pictures taken in the field showing the Ice Pic system as well as various ice floes. The user manuals for the Hemi and Semi systems are made available as well.
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Carbon Sampling Data
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-08 The dataset is a compilation of data measured and calculated by Team 3 and Team 4 from aboard the CCGS Amundsen for the BaySys project. The data were collected over several campaigns: Hudson Bay Amundsen Campaign Leg 1 and Leg 2, Churchill River and Mobile Ice Survey, and Nelson Estuary Landfast Ice Survey. The data is curated in order to understand and analyze principal components of the carbon system across the Hudson Bay.
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ArcticNet Nutrient and Inorganic Carbon Dataset-2016
University of Manitoba
University of Manitoba — 2021-12-17 Carbonate chemistry dataset, including associated nutrient data (from the CTD/Rosette system) and stable oxygen isotope (O-18) measurements from Legs 1 and 2 of the 2016 cruise of CCGS Amundsen through the eastern Canadian Arctic (Baffin Bay, Nares Strait, Lancaster Sound, and Coronation Gulf).
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The Arctic Ice Dynamics Joint Experiment
National Snow and Ice Data Center
National Snow and Ice Data Center — 2022-05-30 The Arctic Ice Dynamics Joint Experiment (AIDJEX) program was the first major western sea ice experiment constructed specifically to answer emerging questions about how sea ice moves and changes in response to the influence of ocean and atmosphere. A pilot study in 1972 was followed by the AIDJEX field program in 1975 and 1976. Researchers maintained four manned camps on ice floes in the Beaufort Sea. The scientists collected meteorological and oceanographic data from instruments located at the camps and on floating data buoys. The experiment was designed to collect coordinated measurements over at least one year, in order to have the right combination of data for understanding atmosphere and ice interactions. The submarine USS Gurnardparticipated by collecting ice draft data from upward-looking acoustical soundings (sonar). Ice draft (the depth of the ice below the water surface) is an estimator of ice thickness. The University of Washington led the logistics and research work of the program, which was a collaboration between the United States, Canada, and Japan. Norbert Untersteiner was instrumental in the design of AIDJEX and served as Project Director from 1971 to 1978. The Polar Science Center at the University of Washington maintains an AIDJEX electronic library. It includes downloadable copies of the contents of all 40 AIDJEX Bulletins, beginning in 1970 and ending in 1978. The majority of the data are held with the [NSIDC](https://nsidc.org/noaa/aidjex), at their website. This dataset was provided to Erica Rosenblum. An example of the cleaning can be taken from Volume 4 for Camp Big Bear in publication 2.
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Algal pigments in ice and water - Hudson Bay 2018
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-11 The dataset includes measurements of pigment concentrations of: - bottom-ice communities - phytoplankton and melt pond communities Data was collected in Hudson Bay during the BaySys cruise in June/ July 2018. Pigment concentrations were determined with reverse-phase high-performance liquid chromatography (HPLC). Pigment concentrations of bottom-ice algal communities are estimated for volume and area.
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Bathymetry of Lakes in Netley-Libau Marsh
Aquatics ESI
Aquatics ESI — 2022-03-07 This dataset page includes: - Images of the water bodies in the Netley-Libau Marsh in a PDF (.pdf) - A zipped folder containing the XYZ files (.XYZ) for all lakes in the Netley-Libau Marsh. - A zipped folder containing charts (.pdf) for all lakes in the Netley-Libau Marsh. - A zipped folder containing DXF contours (.DXF) for all lakes in the Netley-Libau Marsh. - A zipped folder containing KLM files (.kml, .pgw, and .png) for each lake in the Netley-Libau Marsh. - A zipped folder containing the georeferenced tiff (.tfw and .tif) of each lake in the Netley-Libau Marsh.
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2009 Environment Canada - WQMS Shoreline Survey Zooplankton Data
Environment and Climate Change Canada
Environment and Climate Change Canada — 2022-03-29 Zooplankton data gathered from the Shoreline Survey. Samples are from Hecla Island, Gimli, Manigotagan, South Beach Ridge, Grand Beach, Upper Devil's Lake, Lower Devil's Lake, Passwa Lake and Netley Lake.
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Canadian Ice Service Ice concentrations - Hudson Bay transects 2018
Centre for Earth Observation Science
Centre for Earth Observation Science — 2022-03-15 These datasets include ice concentrations at different stages of development along the following transects: - The Narrows - Nelson River estuary into central Hudson Bay - Western into central Hudson Bay Data was collected during the Hudson Bay cruise in June/July 2018. The data was extracted from Canadian Ice Service (CIS) ice charts.

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(Source Repository: Canadian Watershed Information Network (CanWIN))

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