{"help": "https://canwin-datahub.ad.umanitoba.ca/data/api/3/action/help_show?name=package_show", "success": true, "result": {"Creator": "Creator", "Date": "2025-09-02", "IdentifierType": "DOI", "PublicationYear": "2025", "Publisher": "CanWIN", "RelatedIdentifierType": "URL", "RelationType": "IsSupplementTo", "ResourceType": "climate model output", "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": "Crawford, Alex", "contributorType": "DataCurator", "creator_user_id": "cbbec6b1-882b-4227-8cea-38c799ee1dea", "dataCuratorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "dataCuratorEmail": "alex.crawford@umanitoba.ca", "datasetCitation": "", "datasetLevel": "2", "datasetPublisher": "CanWIN", "dateType": "Updated", "descriptionType": "Abstract", "embargoDate": "", "endDate": "2098-12-31", "endDateType": "Other", "frequency": "Not planned", "id": "aac39d3f-f857-4a68-904d-3a550b83a376", "isopen": false, "kvSchemeURI": "", "licenceShemeURI": "https://spdx.org/licenses", "licenceType": "Open", "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2025-09-02T19:20:03.739354", "metadata_modified": "2025-09-12T21:39:32.059827", "methodCitation": "", "name": "extreme-precipitation-smb-greenland", "notes": "This dataset was created to investigates changes in extreme daily precipitation in the Greenland-Baffin Bay region and its impacts on the surface mass balance of glaciers and ice sheets using a combination the ERA5 atmospheric reanalysis (fifth version of the ECMWF Atmospheric Reanalysis) and variable-resolution CESM regional climate model (VR-CESM). The dataset includes extreme precipitation statistics from ERA5 and VR-CESM used in Loeb et al. (2024; DOI: 10.1029/2024JD041375) and connections to SMB and related variables from VR-CESM presented in Loeb et al. (in review; DOI: 10.5194/egusphere-2025-995). The VR-CESM data include an historical (1980-1998) simulation and future (2080-2098, under SSP5-8.5) simulation. This dataset is was produced as part of Nicole Loeb's Ph.D. work under the supervision of Dr. Alex Crawford and Dr. Julienne Stroeve.", "num_resources": 1, "num_tags": 6, "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": "https://canwin-datahub.ad.umanitoba.ca/sites/default/files/users/user736/ExtremePrecipImage.png", "relatedIdentifier": "https://umanitoba.ca/earth-observation-science/climate-investigations-canadian-arctic-storm-systems", "related_campaigns": [], "related_deployments": [], "related_instruments": [], "related_platforms": [], "related_programs": ["4d4cbb98-ee92-4bb0-8765-31c68b4e96e0"], "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\":[[[-74.8660945885,59.1648955654],[-11.1826827781,59.1648955654],[-11.1826827781,83.8997049036],[-74.8660945885,83.8997049036],[-74.8660945885,59.1648955654]]]}", "spatial_regions": "greenland", "startDate": "1980-01-01", "startDateType": "Collected", "state": "active", "status": "Complete", "subjectScheme": "", "theme": ["d5c57e39-a747-4085-ba9c-3cfb44f9d5ef", "3707ff10-6424-4858-9ec9-7d67b38831b3"], "title": "Extreme precipitation days and their impact on surface mass balance in Greenland and the Baffin Bay region", "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": "", "titleType": "Alternative Title"}], "analyticalMethod": [{"analyticalMethodName": "", "comments": "", "laboratory": "", "methodLink": "", "methodSummary": "", "variablesMeasured": ""}], "awards": [{"awardTitle": "", "awardURI": "", "funderIdentifierType": "", "funderName": "", "funderSchemeURI": ""}], "contributors": [{"affiliation": "", "contributorName": "", "contributorType": "", "email": "", "nameIdentifier": ""}], "creatorName": [{"author": "Loeb, Nicole", "creatorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "creatorEmail": "", "creatorNameIdentifier": "0000-0003-3852-5913", "nameIdentifierScheme": "ORCID", "nameType": "Personal", "schemeURI": "http://orcid.org/"}, {"author": "Crawford, Alex", "creatorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "creatorEmail": "alex.crawford@umanitoba.ca", "creatorNameIdentifier": "0000-0003-1561-290X", "nameIdentifierScheme": "ORCID", "nameType": "Personal", "schemeURI": "http://orcid.org/"}, {"author": "Stroeve, Julienne", "creatorAffiliation": "Centre for Earth Observation Science - University of Manitoba", "creatorEmail": "", "creatorNameIdentifier": "", "nameType": "Personal"}], "publications": [{"RelatedIdentifier": "10.1029/2024JD041375", "ResourceTypeGeneral": "JournalArticle", "name": "Projections and Physical Drivers of Extreme Precipitation in Greenland & Baffin Bay", "relatedIdentifierType": "DOI", "relationType": "Describes", "resourceType": "Online Resource"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-09-02T19:28:10.033783", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "See the README_vrcesm_data file for full details of files contained within this zipped folder. There are 10 netcdf files and \r\n\r\nNetCDF file descriptions:\r\n\r\n1. vrcesm_ablation_zones.nc: mean ablation zone in the domain in HIST and FUT\r\n\r\n2. vrcesm_ex_contribution_to_seas_smb_DJFM.nc & vrcesm_ex_contribution_to_seas_smb_JJAS.nc: Fractional contribution of extreme precipitation days to seasonal positive/negative SMB\r\n\r\n3. vrcesm_hist_ex_neg_smb_days_anoms_JJAS.nc, vrcesm_hist_ex_pos_smb_days_anoms_JJAS.nc, vrcesm_fut_ex_neg_smb_days_anoms_JJAS.nc, vrcesm_fut_ex_pos_smb_days_anoms_JJAS.nc: Mean SMB-related variable anomalies relative to \u00b1 15 days\r\n\r\nCSV File Descriptions:\r\n\r\n1. vrcesm_mean_monthly_ex_precip_accum.csv: mean monthly precipitation accumulations from extreme precipitation days for each subregion\r\n\r\n2. vrcesm_ex_and_nonex_monthly_rainfrac (folder with 9 files): mean monthly rain fraction for extreme and non-extreme precipitation in each subregion. Each csv file is for a single subregion.\r\n\r\n3. vrcesm_ex_nonex_scatter_data (folder with 18 files): yearly seasonal mean SMB on extreme and non-extreme days from HIST and FUT. Each csv file is for a single subregion for DJFM or JJAS. \r\n", "format": "NetCDF", "hash": "", "id": "7f79163d-0cd8-43b5-84c2-0fefec37fe9e", "last_modified": "2025-09-12T21:36:52.585527", "metadata_modified": "2025-09-12T21:39:32.064341", "mimetype": "application/zip", "mimetype_inner": null, "name": "Extreme-Precipitation-Events-and-SMB-Greenland-Baffin-Bay.zip", "package_id": "aac39d3f-f857-4a68-904d-3a550b83a376", "position": 0, "resCategory": "data", "resource_type": null, "size": 56298132, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/aac39d3f-f857-4a68-904d-3a550b83a376/resource/7f79163d-0cd8-43b5-84c2-0fefec37fe9e/download/extreme-precipitation-events-and-smb-greenland-baffin-bay.zip", "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": "Baffin Bay", "id": "96005085-e7f0-4155-bdf6-6e6ad9549df7", "name": "Baffin Bay", "state": "active", "vocabulary_id": null}, {"display_name": "Climate Change", "id": "2e175042-13d0-463c-962b-904946e476df", "name": "Climate Change", "state": "active", "vocabulary_id": null}, {"display_name": "Climate model", "id": "1ac4da79-2c26-441b-96eb-1453032e37a9", "name": "Climate model", "state": "active", "vocabulary_id": null}, {"display_name": "Extreme weather", "id": "ee1098fc-20f5-491c-b13d-8692b7a6682c", "name": "Extreme weather", "state": "active", "vocabulary_id": null}, {"display_name": "Greenland", "id": "e9eb0b75-eb8b-4306-8f29-fb7dd356b81f", "name": "Greenland", "state": "active", "vocabulary_id": null}, {"display_name": "Storms", "id": "9b5127d5-5e24-481a-8ca5-77bb650727dc", "name": "Storms", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}