{"help": "https://canwin-datahub.ad.umanitoba.ca/data/api/3/action/help_show?name=package_show", "success": true, "result": {"affiliation": "Centre for Earth Observation Science - University of Manitoba", "author": null, "author_email": null, "campaignEndDate": "2017-02-15", "campaignStartDate": "2017-02-01", "chiefScientist": "David Barber", "creator_user_id": "c3ad971e-75e0-4e57-b825-8ed25f306937", "descriptionType": "Abstract", "email": "David.Barber@umanitoba.ca", "id": "f04549c5-30a1-4afa-b77e-34c0790bfb09", "isopen": false, "license_id": null, "license_title": null, "location": "Hudson Bay", "maintainer": null, "maintainer_email": null, "metadata_created": "2021-11-06T21:24:56.650764", "metadata_modified": "2022-03-09T18:08:43.838328", "name": "2017-winter-churchill-river-and-mobile-ice-survey", "notes": "A series of focused field programs took place within Hudson Bay during 2017 \r\nto provide a time series of winter and summer observations in Hudson Bay. The  first of \r\nthese  field programs was a winter  survey  of  the Churchill River estuary and mobile ice \r\npack offshore  from Cape Churchill in Southwestern Hudson Bay. Nine participants  from \r\nfour of the  five teams that comprise BaySys spent two weeks in Churchill to conduct in \r\nsitu  sampling  of  the ice and  underlying water  column, while also  deploying an array  of \r\nautonomous equipment to collect a longer temporal dataset of key variables both in the \r\nestuary  and  in  the  mobile  ice  pack.  Scientists  stayed  at  the  Churchill  Northern  Studies \r\nCentre  (CNSC) who  provided  snowmobiles  for  the estuary  sampling  (Sites in  Figure  1), \r\nwhile  two  A-Star  helicopters  form  Great  Slave  Helicopters  were  used  to  access  the \r\noffshore ice pack.", "num_resources": 0, "num_tags": 0, "organization": {"id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", "name": "ceos", "title": "Centre for Earth Observation Science", "type": "organization", "description": "The Centre for Earth Observation Science (CEOS) was established in 1994 with a mandate to research, preserve and communicate knowledge of Earth system processes using the technologies of Earth Observation Science. Research is multidisciplinary and collaborative seeking to understand the complex interrelationships between elements of Earth systems, and how these systems will likely respond to climate change. Although researchers have worked in many regions, the Arctic marine system has always been a unifying focus of activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre (ARC, Aarhus, Denmark) established the Arctic Science Partnership, thereby integrating academic and research initiatives.\r\n\r\nAreas of existing research activity are divided among key themes:\r\n\r\nArctic Anthropology/Paleoclimatology: LiDAR scanning and digital site preservation, archaeo-geophysics, permafrost degredation, lithic morphometrics, zooarchaeology, proxy studies, paleodistribution of sea ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, ethnographic analogy, traditional knowledge, climate change and northern heritage resource management.\r\n\r\nAtmospheric Studies/Meteorology: Boundary layer, precipitation, clouds, storms and extreme weather, circulation, eddy correlations, polar vortex, climate, teleconnections, geophysical fluid dynamics, flux and energy budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice albedo feedback, cloud radiative forcing, pCO2. \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace metals, minerals, hydrocarbons, brine processes, otolith microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, trace metals, PAHs, source, transport, transformation, pathways, bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth Observation Science: Active and passive microwave, LiDAR, EM induction, spatial-temporal analysis, forward and inverse scattering models, complex permittivity, ocean colour, ocean surface roughness, NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: Biophysical processes, primary production; ice algae, ice microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland Lakes and Waters: Hydrologic connectivity, watershed systems, sediment transport, nutrient transport, contaminants, landscape processes, remote sensing, freshwater-marine coupling. Marine Mammals: Seals, whales, habitat, conservation, satellite telemetry, distribution, population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: Simulation of sea ice and oceanic regional processes, Nucleus for European Modelling of the Ocean (NEMO), ice-ocean modelling and interactions, hind cast simulations and projections for sea ice state and ocean variables based on CMIP5 scenarios and MIROC5 forcing, validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic processes, extreme ice features and hazards, snow, ridges, polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, hunting, food security, sea ice use, community-based research, community-based monitoring, two ways of knowing.", "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", "created": "2017-07-21T13:15:49.935872", "is_organization": true, "approval_status": "approved", "state": "active"}, "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", "platformName": " CCGS Amundsen", "platformType": "ship", "private": false, "related_datasets": ["e8cdedff-5c6b-4719-bc69-57c3d05cdd1c"], "related_deployments": ["a7d2b440-f197-40bf-9f71-d3ca504ad71d"], "related_instruments": ["acdfa5d9-7c5c-466f-87c4-b2f91b8a4095"], "related_platforms": [], "related_programs": ["504c728f-da7d-4da9-acab-8430ed5c47ea"], "researchArea": "churchill", "state": "active", "title": "2017 Winter Churchill River and Mobile Ice Survey", "type": "campaign", "url": null, "version": null, "resources": [], "tags": [], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}