{"help": "https://canwin-datahub.ad.umanitoba.ca/data/api/3/action/help_show?name=package_show", "success": true, "result": {"Identifier": "10.1175/MWR-D-20-0417.1", "PublicationYear": "2021", "Publisher": "Monthly Weather Review", "ResourceType": "journal article", "Rights": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International", "Version": "1.0", "author": null, "author_email": null, "citation": "", "creator_user_id": "cbbec6b1-882b-4227-8cea-38c799ee1dea", "descriptionType": "Abstract", "id": "857e2c2f-d62c-4615-ad6c-4da37adae909", "isopen": false, "language": "", "licenceType": "", "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2024-04-03T20:52:21.932791", "metadata_modified": "2024-04-03T20:53:27.979438", "name": "cyclone-tracking-resolution-sensitivity", "notes": "Lagrangian detection and tracking algorithms are frequently used to study the development, distribution, and trends of extratropical cyclones. Past research shows that results from these algorithms are sensitive to both spatial and temporal resolutions of the gridded input fields, with coarser resolutions typically underestimating cyclone frequency by failing to capture weak, small, and short-lived systems. The fifth-generation atmospheric reanalysis from the European Centre for Medium-Range Weather Forecasts (ERA5) offers finer resolution, and, therefore, more precise information regarding storm locations and development than previous global reanalyses. However, our sensitivity tests show that using ERA5 sea level pressure fields at their finest-possible resolution does not necessarily lead to better cyclone detection and tracking. If a common number of nearest neighbors is used when detecting minima in sea level pressure (like past studies), finer spatial resolution leads to noisier fields that unrealistically break up multicenter cyclones. Using a common search distance instead (with more neighbors at finer resolution) resolves the issue without smoothing inputs. Doing this also makes cyclone frequency, life span, and average depth insensitive to refining spatial resolution beyond 100 km. Results using 6- and 3-h temporal resolutions have only minor differences, but using 1-h temporal resolution with a maximum allowed propagation speed of 150 km h\u22121 leads to unrealistic track splitting. This can be counteracted by increasing the maximum propagation speed, but modest sensitivity to temporal resolution persists for several cyclone characteristics. Therefore, we recommend caution if applying existing algorithms to temporal resolutions finer than 3 h and careful evaluation of algorithm settings.", "num_resources": 1, "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, "related_datasets": [], "related_programs": ["4d4cbb98-ee92-4bb0-8765-31c68b4e96e0"], "rightsIdentifier": "CC-BY-NC-SA-4.0", "rightsIdentifierScheme": "SPDX", "rightsSchemeURI": "https://spdx.org/licenses", "rightsURI": "https://spdx.org/licenses/CC-BY-NC-SA-4.0.html", "schemeURI": "", "state": "active", "subjectScheme": "", "theme": ["d5c57e39-a747-4085-ba9c-3cfb44f9d5ef"], "title": "Sensitivity of Northern Hemisphere Cyclone Detection and Tracking Results to Fine Spatial and Temporal Resolution Using ERA5", "type": "publication", "url": null, "version": null, "Author": [{"affiliation": "Clayton H. Riddell Faculty of Environment, Earth, and Resources - University of Manitoba", "creatorName": "Crawford, Alex D", "email": "alex.crawford@umanitoba.ca", "nameIdentifier": "0000-0003-1561-290X", "nameIdentifierScheme": "ORCID", "nameType": "Personal", "schemeURI": "http://orcid.org/"}, {"affiliation": "", "creatorName": "Schreiber, Erika A P", "email": "", "nameIdentifier": "", "nameType": "Personal"}, {"affiliation": "", "creatorName": "Sommer, Nathan", "email": "", "nameIdentifier": "", "nameType": "Personal"}, {"affiliation": "", "creatorName": "Serreze, Mark C", "email": "", "nameIdentifier": "", "nameType": "Personal"}, {"affiliation": "", "creatorName": "Stroeve, Julienne C", "email": "", "nameIdentifier": "", "nameType": "Personal"}, {"affiliation": "", "creatorName": "Barber, David G", "email": "", "nameIdentifier": "", "nameType": "Personal"}], "awards": [{"awardTitle": "", "awardURI": "", "funderIdentifier": "", "funderIdentifierType": "", "funderName": "", "funderSchemeURI": "", "grantNumber": ""}], "relatedResources": [{"RelatedIdentifier": "", "ResourceTypeGeneral": "", "name": "", "relatedIdentifierType": "", "relationType": "", "resourceType": "Online Resource", "seriesName": ""}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2024-04-03T20:53:27.531183", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "", "format": "PDF", "hash": "", "id": "4f410a9e-be90-4144-9693-f0e495378ec1", "last_modified": "2024-04-03T20:53:27.449379", "metadata_modified": "2024-04-03T20:53:27.989401", "mimetype": "application/pdf", "mimetype_inner": null, "name": "Sensitivity of Northern Hemisphere Cyclone Detection and Tracking Results to Fine Spatial and Temporal Resolution Using ERA5", "package_id": "857e2c2f-d62c-4615-ad6c-4da37adae909", "position": 0, "resCategory": "data", "resource_type": null, "size": 7535093, "state": "active", "url": "https://canwin-datahub.ad.umanitoba.ca/data/dataset/857e2c2f-d62c-4615-ad6c-4da37adae909/resource/4f410a9e-be90-4144-9693-f0e495378ec1/download/1520-0493-mwr-d-20-0417.1.pdf", "url_type": "upload"}], "tags": [{"display_name": "Cyclone", "id": "973ac25c-1a4f-4b79-98b7-1b31db298247", "name": "Cyclone", "state": "active", "vocabulary_id": null}, {"display_name": "Northern Hemisphere", "id": "b6d86207-1bbf-4948-836c-0a0bc6385182", "name": "Northern Hemisphere", "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": []}}