This data set encompasses all of the remote sensing data collected in relation to sea ice during the BaySys 2018 expedition (radiometric and UAV data).

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.

This dataset consists of data and supplemental materials related to the weather station located in Dawson Bay, MB on the northern basin of Lake Winnipegosis. The data file contains the downloaded curated weather file accessed from the Data Garrison site. The dataset is curated and added here as archived data. Additional information includes images of the weather station, a link to the data dashboards showing near real-time weather data, and instrument, deployment, publication and platform information. The weather station was deployed in the fall of 2021.

This site is currently offline and not streaming near-live data due to battery failure, plans are in place to be back online in Spring of 2023.

The GENICE II remote sensing team is led by Dr. Dustin Isleifson and is involved with Activity 1 under the GENICE II framework. Metadata and/or data collected by the remote sensing group are included on this sub-project page, divided into three categories: active remote sensing, passive remote sensing, and in-situ data.

Freshwater-marine coupling affects all aspects of the physical, biological and biogeochemical systems within Hudson Bay. The past century has seen significant hydroelectric development on rivers flowing into Hudson Bay, with more than 21,000 MW of annual production on the Nelson and La Grande river systems. Manitoba Hydro’s operations are closely linked to conditions in Hudson Bay through the regulation of outflows from Lake Winnipeg Regulation and the Lower Nelson River generating stations, as well as through the diversion of water from the Churchill River Diversion, which affect the timing, volume, and location of freshwater outflow into Hudson Bay.

Freshwater entering Hudson Bay is susceptible to modification, both in terms of water quality and quantity, through exchange processes in the watershed, and through climate forcing of the hydrological cycle both in space and time. A unique aspect of this system is the role that freshwater plays on both sea ice thermodynamic and dynamic processes within Hudson Bay. This freshwater-marine coupling affects all aspects of the Hudson Bay physical, biological and biogeochemical systems.

BaySys is led by Principal Investigators Dr. David Barber at the University of Manitoba and Kevin Sydor at Manitoba Hydro. The project is managed and coordinated by Lauren Candlish and Dr. David Landry at the University of Manitoba in collaboration with Kevin Sydor and Karen Wong at Manitoba Hydro.

The dataset contains the Ku and Ka band radar waveform data collected on sea and lake ice during the Churchill Freeze-Up Campaign, December 2021.

The associated snow depth data can be found here.

The associated snow geophysical data can be found here.

Photo Credit: Thomas Newman

This dataset contains the snow depth transects conducted in conjunction with the KuKa transects during the Churchill Freeze-up Campaign (December 2 to 15, 2021). The snow depth data was collected using an automated snow depth probe also known as Magnaprobe.

The associated KuKa transect data can be found here.

The associated snow geophysical data can be found here.

Photo Credit: Thomas Newman

This dataset contains the model output used in Marson et al. 2023/2024. The simulations were carried out with the Nucleus for European Modelling of the Ocean (NEMO) at 1/4 degree resolution over the Arctic and Northern Hemisphere Atlantic (ANHA) domain. The simulation labelled SIL differs from the CTL simulation only in the parameterization of the sea ice force over icebergs: while in CTL it is simply a drag force, in SIL sea ice above 90% concentration is capable of locking icebergs. cdm_data_type=Other infoUrl=https://canwin-datahub.ad.umanitoba.ca/data/dataset/nemo-anha4-seaice-locking-icebergs institution=Centre for Earth Observation Science - University of Manitoba sourceUrl=https://canwin-datahub.ad.umanitoba.ca/data/dataset/nemo-anha4-seaice-locking-icebergs subsetVariables=fileType

This dataset contains raw mooring data from RBR CTD(Conductivity, Temperature, and Turbidity), RBR PAR, and RBR Pressure collected at CH33-3. The mooring was deployed on 2024-03-06 and was retrieved on 2024-08-10.

This dataset contains raw mooring data from RBR CTD(Conductivity, Temperature, and Turbidity), RBR PAR, and RBR Pressure collected at CH07. The mooring was deployed on 2024-03-19 and was retrieved on 2024-08-31.

This dataset contains mooring data (conductivity, pressure, and temperature) collected at CH33-3. The mooring was deployed on 2021-03-24 and was retrieved on 2021-08-13.

This dataset contains mooring data (conductivity, pressure, turbidity, PAR, and temperature) collected at CH34-2. The mooring was deployed on 2021-04-12 and was retrieved on 2021-08-08.

The carbon cycling team focused on the role of freshwater in moderating the carbon system of Hudson Bay. This ultimately led to increasing our understanding of carbon cycling and Hudson Bays' current and future role as a carbon dioxide source/sink derived from multi-season analysis.

This dataset contains mooring data from RBR CTD(Conductivity, Temperature, and Turbidity), RBR PAR, and RBR Pressure collected at VC12. The mooring was deployed on 2024-03-06 and was retrieved on 2024-08-10.

Taxonomic identification and abundance of mesozooplankton in the Hudson Bay system. The data set combines vertical tows carried out in five different expedition aboard the CCGS Amundsen in 2005, 2010, 2012, 2017, 2018. Species identification was carried out at the Fortier lab in Université Laval.

Data collected in 2023 during the fall cruise aboard the M/V NAMAO. Data collected using a shipboard Seabird water quality profiler and four-channel profiling sonde (“Seabird rosette”). Dataset also includes mapped profiles of Seabird parameters measured at respective sampling stations, as well as Matlab scripts that produced each profile (CSVs).

Check out some results!
This image shows photosynthetically Active Radiation (PAR) measurements across Lake Winnipeg during fall 2023.

https://canwin-datahub.ad.umanitoba.ca/sites/default/files/users/user44/2023284-010-006SurfacePAR_small.png" alt="alt-text-1">

📸 Quickly view more images under Supplemental below, or download all images in the Mapped zipped folder.

The National Pollutant Release Inventory (NPRI) is Canada's public inventory of pollutant releases (to air, water and land), disposals and transfers for recycling.

Established in 1992, the NPRI currently collects information on the release, disposal and transfer of more than 320 substances.

Releases are direct discharges of pollutants into the environment (air, water, land).

Disposals manage substances and limit their release. Disposals include landfill, land application and underground injection and can be done at the facility (on-site) or elsewhere (off-site).

Transfers send substances elsewhere for recycling, energy recovery or for treatment before final disposal.

There are important factors that should be considered prior to the use and interpretation of NPRI data. Additional information is available on the NPRI web site.

The seasonal timing of when sea ice thickness falls below ("retreat day") or rises above ("advance day") 10 cm throughout the Northern Hemisphere, based on daily sea ice thickness ("sithick") data from models participating in CMIP6, using the historical and SSP585 experiments. Regional averages are provided as CSV files for each model. Additionally, two types of multi-model mean are provided: a bias-corrected mean of 20 simulations (1 from each of 20 models), and a weighted multi-model mean using 49 simulations (up to 7 from each of 20 models).

Autonomous CTD data from the 2021 James Bay Expedition of the RV William Kennedy.

Phase 1 report on Netley-Libau Marsh on an analysis of digital wetland vegetation map coverages, produced by aerial photography and satellite imagery.

This dataset includes:

• High resolution images of Netley-Libau Marsh 1979-2013. Changes in marsh zone distribution between years.
• High resolution imagery file of animation 2-Netley-Libau Marsh 1979-2013. Changes in vegetation class distribution between years.
• Hi resolution images from Netley-Libau Marsh 1990-2013. Changes in water distribution between years.
• High-res images Netley-Libau Marsh 1990-2013. Changes in Marsh zone distribution between years.