{"help": "https://canwin-datahub.ad.umanitoba.ca/data/fr/api/3/action/help_show?name=package_show", "success": true, "result": {"Creator": "Creator", "Date": "2023-11-07", "IdentifierType": "DOI", "PublicationYear": "2026", "Publisher": "CanWIN", "RelatedIdentifierType": "URL", "RelationType": "IsSupplementTo", "ResourceType": "Model data", "Rights": "Creative Commons Attribution 4.0 International", "Version": "1.0", "accessTerms": "CanWIN datasets are licensed individually, however most are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. Details for the licence applied can be found using the Licence URL link provided with each dataset. \r\nBy using data and information provided on this site you accept the terms and conditions of the License. Unless otherwise specified, the license grants the rights to the public to use and share the data and results derived therefrom as long as the proper acknowledgment is given to the data licensor (citation), that any alteration to the data is clearly indicated, and that a link to the original data and the license is made available.", "activityCollectionType": "", "author": null, "author_email": null, "campaignEndDate": "", "campaignStartDate": "", "contributorName": "Marson, Juliana", "contributorType": "DataCurator", "creator_user_id": "59fdde0d-f226-4e5e-99ba-562b96c239a0", "dataCuratorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "dataCuratorEmail": "Juliana.MariniMarson@umanitoba.ca", "datasetCitation": "", "datasetIdentifier": "10.34992/mq60-c722", "datasetLevel": "2", "datasetPublisher": "CanWIN", "dateType": "Updated", "descriptionType": "Abstract", "embargoDate": "", "endDate": "2017-12-31", "endDateType": "Other", "frequency": "Not planned", "id": "06dcb72d-b105-4655-8aab-3c7af6f0e453", "isopen": false, "kvSchemeURI": "https://www.polardata.ca/pdcinput/public/keywordlibrary", "licenceShemeURI": "https://spdx.org/licenses", "licenceType": "Open", "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2023-11-08T15:43:07.051693", "metadata_modified": "2026-02-24T00:04:07.578468", "methodCitation": "", "name": "nemo-anha4-seaice-locking-icebergs", "notes": "This dataset contains the model output used in _Marson et al. 2023/2024_. \r\nThe 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.\r\n\r\n**Please see the supplemental file below for a description of the data files and variables. This information can also be found under _Analytical Method Summary_ in the metadata.**", "num_resources": 2, "num_tags": 5, "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", "private": false, "projectImage": "", "relatedIdentifier": "", "related_campaigns": [], "related_deployments": [], "related_instruments": [], "related_platforms": [], "related_programs": [], "related_publications": [], "resourceTypeGeneral": "Dataset", "rightsIdentifier": "CC-BY-4.0", "rightsIdentifierScheme": "SPDX", "rightsURI": "https://spdx.org/licenses/CC-BY-4.0.html", "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-82.3764761728,62.8496527853],[-49.7723734758,62.8496527853],[-49.7723734758,76.9342395824],[-82.3764761728,76.9342395824],[-82.3764761728,62.8496527853]]]}", "spatial_regions": "baffin-bay", "startDate": "2002-01-01", "startDateType": "Collected", "state": "active", "status": "Planned", "subjectScheme": "Polar Data Catalogue", "theme": ["298ea7bb-cd8c-478f-87fe-013f7cf7f75b", "98238b1c-5be8-41ad-8c6e-74cdc4f5f369"], "title": "NEMO-ANHA4 Sea ice locking of icebergs", "titleType": "Alternative Title", "type": "dataset", "url": null, "useTerms": "By accessing this data you agree to [CanWIN's Terms of Use](/data/publication/canwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", "version": null, "analyticalInstrument": [{"Title": "", "analyticalInstrumentIdentifier": "", "identifierType": "", "name": "Nucleus for European Modelling of the Ocean (NEMO) v3.6", "titleType": "Alternative Title"}], "analyticalMethod": [{"analyticalMethodName": "NEMO - ANHA4 simulations", "comments": "", "laboratory": "", "methodLink": "", "methodSummary": "The atmosphere was forced with CGRF (Smith et al., 2014), Greenland solid and liquid discharges with Bamber et al. (2018) dataset, and river runoff with HydroGFD (Stadnyk et al., 2021). Initial and boundary conditions were taken from GLORYS2v3 (Masina et al., 2017).\r\nThe model was run from 2002 to 2017, and outputs were obtained as 5-day averages (for gridded variables). Iceberg trajectory files were generated daily.\r\nThe two simulations, SIL and CTL, only differ with respect to how the sea ice force on icebergs is parameterized. CTL follows the traditional drag parameterization present in NEMO-ICB (Marsh et al., 2015), while SIL introduces a new formulation where icebergs are locked in sea ice if the latter reaches a strength (proportional to sea ice concentration and thickness) that is capable of withstanding all the other forces acting on the iceberg without breaking. See Marson et al. (2023/2024) for more details.\r\n\r\n### Output files:\r\n\r\n**1. griddedOutput.nc**\r\n\r\nHere, you will find variables related to the ocean and sea ice that are outputted in the ANHA4 grid (544 x 800). All variables are placed at T-points (Arakawa-C grid):\r\n\r\n\u2022\tlat: latitude of each grid T-point in ANHA4\r\n\r\n\u2022\tlon: longitude of each grid T-point in ANHA4\r\n\r\n\u2022\tSIL_melttracer: vertically-integrated (m) passive tracer linked to iceberg melt by the end (Dec 31 2017) of the SIL simulation.\r\n\r\n\u2022\tCTL_melttracer: vertically-integrated (m) passive tracer linked to iceberg melt by the end (Dec 31 2017) of the CTL simulation.\r\n\r\n\u2022\tSIL_uovel_winter: U component of ocean velocity averaged between 0-100 m from 2004-2017 for the months of January to March in the SIL simulation.\r\n\r\n\u2022\tSIL_vovel_winter: V component of ocean velocity averaged between 0-100 m from 2004-2017 for the months of January to March in the SIL simulation.\r\n\r\n\u2022\tSIL_uivel_winter: U component of sea ice velocity averaged from 2004-2017 for the months of January to March in the SIL simulation.\r\n\r\n\u2022\tSIL_vivel_winter: V component of sea ice velocity averaged from 2004-2017 for the months of January to March in the SIL simulation.\r\n\r\n**2. CTL_trajfiles and SIL_trajfiles folders**\r\n\r\nThe folders contain information from each particle (cluster of bergs) and the environmental conditions surrounding them at each simulation day for CTL and SIL runs. Each file contains a single variable, indicated by the filename. You will notice that there are four files for each variable (*_01.nc through *_04.nc). This was done because of the large number or particles generated by simulation (over 34,000). Therefore, the first 3 files have 10,000 particles each, and the fourth file has the remaining 4,025. The variables are matrices of size 5,840 by 10,000 (except for the ones in file *_04.nc, which are 5,840 by 4,025). Each column contains a time series for one particle, and each row represents day of simulation, from January 01, 2002 to December 31, 2017.\r\nTherefore, if you wanted to plot the trajectory of the 10th 'calved' particle in CTL, you would plot all the rows of the 10th column of lon_01.nc versus all the rows of the 10th column of lat_01.nc contained in the CTL_trajfiles folder. Notice that the columns are usually padded with NaN's in the first and last rows, when the particle did not exist (was not yet calved or had already melted completely). So, you can calculate how many days a particle has survived by counting the rows with data in them.\r\n\r\nThe variables available for each simulation are:\r\n\u2022\txi: particle's position in the ANHA4 grid along x\r\n\r\n\u2022\tyj: particle's position in the ANHA4 grid along y\r\n\r\n\u2022\tlat: particle's latitude\r\n\r\n\u2022\tlon: particle's longitude\r\n\r\n\u2022\tlength, width, thickness: dimensions of icebergs contained in the particle\r\n\r\n\u2022\ticnt: sea ice concentration\r\n\r\n\u2022\tithk: sea ice thickness at the particle's position\r\n\r\n\u2022\tuvel, vvel: particle velocity components\r\n\r\n\u2022\tuta, vta: wind velocity components at the particle's position\r\n\r\n\u2022\tuti, vti: sea ice velocity components at the particle's position\r\n\r\n\u2022\tuto, vto: ocean velocity components at the particle's position\r\n", "variablesMeasured": ""}], "awards": [{"awardTitle": "NSERC Discovery", "awardURI": "", "funderIdentifierType": "", "funderName": "NSERC", "funderSchemeURI": "", "grantNumber": "RGPIN202102921"}], "contributors": [{"affiliation": "", "contributorName": "", "contributorType": "", "email": "", "nameIdentifier": ""}], "creatorName": [{"author": "Marson, Juliana", "creatorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "creatorEmail": "Juliana.MariniMarson@umanitoba.ca", "creatorNameIdentifier": "0000-0001-5074-7370", "nameIdentifierScheme": "ORCID", "nameType": "Personal", "schemeURI": "http://orcid.org/"}], "groups": [{"description": "Features and characteristics of salt water bodies.\r\n\r\nIn CEOS, related research themes include biogeochemistry, modelling, marine mammals, oil spill response, physical oceanography, remote sensing and technology and trace metals and contaminants", "display_name": "Marine", "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", "image_display_url": "https://canwin-datahub.ad.umanitoba.ca/data/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", "name": "marine", "title": "Marine"}], "publications": [{"RelatedIdentifier": "", "ResourceTypeGeneral": "", "name": "", "relatedIdentifierType": "", "relationType": "", "resourceType": "Online Resource"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2023-11-09T15:26:07.089033", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "**Sea ice driven iceberg drift in Baffin Bay.**\r\n\r\nSimulations carried out with NEMO at 1/4 degree resolution over the Arctic and Northern Hemisphere Atlantic (ANHA) domain. SIL differs from CTL only in the parameterization of the sea ice force over icebergs; for CTL it is simply a drag force, in SIL sea ice above 90% concentration is capable of locking icebergs.\r\n\r\n- Please select the **ERDDAP Server - Individual Files** tab below to see and download individual files. \r\n\r\n- To download the entire CTL and SIL folders, please click the **ERDDAP Server - Zipped Folders** tab.\r\n\r\n", "format": "", "hash": "", "id": "8aa9c193-214e-4152-9abe-037010bf1999", "last_modified": null, "metadata_modified": "2026-02-24T00:04:07.586434", "mimetype": null, "mimetype_inner": null, "name": "NEMO_ANHA4 simulations", "package_id": "06dcb72d-b105-4655-8aab-3c7af6f0e453", "position": 0, "resCategory": "data", "resource_type": null, "size": null, "state": "active", "url": "https://canwinerddap.ad.umanitoba.ca/erddap/files/NEMO_ANHA4_SeaIceLocking_309d_54a5_54cc/", "url_type": null}, {"cache_last_updated": null, "cache_url": null, "created": "2023-11-09T16:10:54.046412", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Information about the **structure of the data files**, **variables** in each file and **model initialization**.", "format": "PDF", "hash": "", "id": "5bc299fb-85de-4222-84db-6007bfc44968", "last_modified": "2023-11-09T16:11:19.919576", "metadata_modified": "2023-11-09T17:02:17.289108", "mimetype": "application/pdf", "mimetype_inner": null, "name": "Supplemental Information", "package_id": "06dcb72d-b105-4655-8aab-3c7af6f0e453", "position": 1, "resCategory": "supplemental", "resource_type": null, "size": 136749, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/06dcb72d-b105-4655-8aab-3c7af6f0e453/resource/5bc299fb-85de-4222-84db-6007bfc44968/download/supplemental-information.pdf", "url_type": "upload"}], "sample_collection": [{"comment": "", "instrumentTitle": "", "methodDescrioption": "", "methodDescriptionType": "Methods", "methodTitle": "", "methodUrl": "", "standardized_instrument_name": ""}], "supplementalResources": [{"RelatedIdentifier": "", "ResourceTypeGeneral": "", "name": "", "relatedIdentifierType": "", "relationship": "", "resourceType": "Online Resource", "seriesName": ""}], "tags": [{"display_name": "ANHA4", "id": "03c9d8e3-79a1-46fe-9e91-5b09b4d3b0ee", "name": "ANHA4", "state": "active", "vocabulary_id": null}, {"display_name": "Baffin Bay", "id": "96005085-e7f0-4155-bdf6-6e6ad9549df7", "name": "Baffin Bay", "state": "active", "vocabulary_id": null}, {"display_name": "NEMO", "id": "58f6f4cb-8681-457d-ad73-b1feebf559aa", "name": "NEMO", "state": "active", "vocabulary_id": null}, {"display_name": "icebergs", "id": "995fbeac-c03e-4f0c-bf40-7e4d854bdb34", "name": "icebergs", "state": "active", "vocabulary_id": null}, {"display_name": "sea ice", "id": "ce81bb8e-7cd5-4fa4-ac88-ea6bc5b8060d", "name": "sea ice", "state": "active", "vocabulary_id": null}], "relationships_as_subject": [], "relationships_as_object": []}}