{"help": "https://canwin-datahub.ad.umanitoba.ca/data/api/3/action/help_show?name=package_show", "success": true, "result": {"Creator": "Creator", "Date": "2025-09-26", "IdentifierType": "DOI", "PublicationYear": "2026", "Publisher": "CanWIN", "RelatedIdentifierType": "URL", "RelationType": "IsSupplementTo", "ResourceType": "cyclone tracks", "Rights": "Creative Commons Attribution-NonCommercial-ShareAlike 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": "", "datasetIdentifier": "10.34992/60Y2-D667", "datasetLevel": "1.1", "datasetPublisher": "CanWIN", "dateType": "Updated", "descriptionType": "Abstract", "embargoDate": "", "endDate": "2100-12-31", "endDateType": "Other", "frequency": "Not planned", "id": "80c22e80-9920-496d-921c-7a71d99ad98f", "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": "2025-09-23T21:12:08.461944", "metadata_modified": "2026-01-09T17:26:32.124616", "methodCitation": "", "name": "cnect-nh-cmip6", "notes": "This dataset comprises a series of CSV files, each of which catalogues a suite of information for an individual cyclone track for the Northern Hemisphere. Detection and tracking are conducted using version 13.3 of the Lagrangian cyclone detection and tracking algorithm described by Crawford et al. (2021). This algorithm is applied to sea-level pressure data from climate model simulations that were run as part of the Coupled Model Intercomparison Project Phase 6 (CMIP6) at a 6-hour temporal resolution and 100-km spatial resolution. Of the 22 models included, 13 provided the sufficient inputs for five experiments: historical, SSP1-2.6 (low emissions), SSP2-4.5 (medium emissions), SSP3-7.0 (high emissions), and SSP5-8.5 (very high emissions). The other 9 models are only present from historical and SSP5-8.5. The historical simulation is 1950-2014. The CMIP6 simulations are from 2015-2100. Also included is a comparable set of historical cyclone tracks (1950-2014) derived from the 5th version of the European Centre for Medium-Range Weather Forecasts (ECMWF) Retrospective Analysis (ERA5). The cyclone detection and tracking algorithm was applied to sea-level pressure inputs with the same spatial and temporal resolution as the CMIP6 data.\r\n\r\nEach CSV file contains information regarding the location, propagation, intensity, and size of the storm for each observation time. Whether a storm is a multi-center cyclone or interacting (splitting or merging) with other storm systems is also noted. Only cyclones that last at least 24 hours and travel at least 1000 km are included. Storms must also be observed at least once over an elevation under 500 m and at least once at a distance at least 500 km from their point of origin. These standard criteria are necessary to remove spurious systems (i.e., reduce the false positive rate).", "num_resources": 2, "num_tags": 3, "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": "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-NC-SA-4.0", "rightsIdentifierScheme": "SPDX", "rightsURI": "https://spdx.org/licenses/CC-BY-NC-SA-4.0.html", "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-180,0],[180,0],[180,90],[-180,90],[-180,0]]]}", "spatial_regions": "northern-hemisphere", "startDate": "1950-01-01", "startDateType": "Collected", "state": "active", "status": "Complete", "subjectScheme": "Polar Data Catalogue", "theme": ["d5c57e39-a747-4085-ba9c-3cfb44f9d5ef"], "title": "Northern Hemisphere Extratropical Cyclone Tracks in CMIP6", "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, "awards": [{"awardTitle": "", "awardURI": "", "funderIdentifierType": "", "funderName": "", "funderSchemeURI": ""}], "contributors": [{"affiliation": "", "contributorName": "", "contributorType": "", "email": "", "nameIdentifier": ""}], "creatorName": [{"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/"}], "publications": [{"RelatedIdentifier": "", "ResourceTypeGeneral": "", "name": "", "relatedIdentifierType": "", "relationType": "", "resourceType": "Online Resource"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-09-26T20:51:30.556231", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Collections of CSV files describing the extratropical cyclones detected in various CMIP6 model simulations, all run at a 100-km and 6-h resolution. The entire set of cyclone tracks for each model simulation is stored in a single, large zipped folder and then organized by experiment. Additionally, a zipped folder with a comparable ERA5-derived dataset (CNECT_ERA5_NH_100km_6h_1950-2014.zip) with the same spatial and temporal resolution is included for the period 1950-2014, matching the historical experiment data from CMIP6.", "format": "ZIP", "hash": "", "id": "3a4229bf-f6f6-475b-9554-174a9512d20d", "last_modified": null, "metadata_modified": "2025-09-26T22:50:11.821871", "mimetype": null, "mimetype_inner": null, "name": "Cyclone tracks CMIP6", "package_id": "80c22e80-9920-496d-921c-7a71d99ad98f", "position": 0, "resCategory": "data", "resource_type": null, "size": null, "state": "active", "url": "https://canwinerddap.ad.umanitoba.ca/erddap/files/Cyclone_tracks_CMIP6_cdc8_7f93_c4b1/", "url_type": ""}, {"cache_last_updated": null, "cache_url": null, "created": "2025-09-26T22:50:11.834580", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Additional metadata, which includes variable headers, units, and descriptions, as well as an overview of the script applied. 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