{"help": "https://canwin-datahub.ad.umanitoba.ca/data/api/3/action/help_show?name=package_show", "success": true, "result": {"Identifier": "10.1017/aog.2023.42", "PublicationYear": "2023", "Publisher": "Annals of Glaciology", "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": "5ed99e7a-52b5-41be-9024-5e143b180154", "isopen": false, "language": "", "licenceType": "Open", "license_id": null, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2024-04-03T17:51:16.673627", "metadata_modified": "2024-04-03T17:53:23.806308", "name": "sources-of-seasonal-sea-ice-bias-for-cmip6-models-in-the-hudson-bay-complex", "notes": "The seasonal ice-free period in the Hudson Bay Complex (HBC) has grown longer in recent decades in response to warming, both from progressively earlier sea-ice retreat in summer and later sea-ice advance in fall. Such changes disrupt the HBC ecosystem and ice-based human activities. In this study, we compare 102 simulations from 37 models participating in phase 6 of the Coupled Model Intercomparison Project to the satellite passive microwave record and atmospheric reanalyses. We show that, throughout the HBC, models simulate an ice-free period that averages 30 d longer than in satellite observations. This occurs because seasonal sea-ice advance is unrealistically late and seasonal sea-ice retreat is unrealistically early. We find that much of the ice-season bias can be linked to a warm bias in the atmosphere that is associated with a southerly wind bias, especially in summer. Many models also exhibit an easterly wind bias during winter and spring, which reduces sea-ice convergence on the east side of Hudson Bay and impacts the spatial patterns of summer sea-ice retreat. These results suggest that, for many models, more realistic simulation of atmospheric circulation would improve their simulation of HBC sea ice.", "num_resources": 1, "num_tags": 4, "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": ["eddc5af7-8854-4204-ac03-d1f1b4c6d6d7"], "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": ["3707ff10-6424-4858-9ec9-7d67b38831b3"], "title": "Sources of seasonal sea-ice bias for CMIP6 models in the Hudson Bay Complex", "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": "Rosenblum, Erica", "email": "", "nameIdentifier": "", "nameType": "Personal"}, {"affiliation": "", "creatorName": "Lukovich, Jennifer V", "email": "", "nameIdentifier": "", "nameType": "Personal"}, {"affiliation": "", "creatorName": "Stroeve, Julienne C", "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": "2024-04-03T17:52:12.374496", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "", "format": "", "hash": "", "id": "c4c70552-be66-46a6-9545-c213589f12c8", "last_modified": null, "metadata_modified": "2024-04-03T17:52:12.715449", "mimetype": null, "mimetype_inner": null, "name": "Sources of seasonal sea-ice bias for CMIP6 models in the Hudson Bay Complex", "package_id": "5ed99e7a-52b5-41be-9024-5e143b180154", "position": 0, "resCategory": "data", "resource_type": null, "size": null, "state": "active", "url": "https://www.cambridge.org/core/journals/annals-of-glaciology/article/sources-of-seasonal-seaice-bias-for-cmip6-models-in-the-hudson-bay-complex/37A48F85CB05F7C04D0905BE3C1FD9A5", "url_type": null}], "tags": [{"display_name": "Climate model", "id": "1ac4da79-2c26-441b-96eb-1453032e37a9", "name": "Climate model", "state": "active", "vocabulary_id": null}, {"display_name": "Hudson Bay", "id": "e8708f68-d619-4444-8951-96582b048848", "name": "Hudson Bay", "state": "active", "vocabulary_id": null}, {"display_name": "Hudson Bay Complex", "id": "d6d0da00-cdaf-4b67-9dd5-6bb3b162714a", "name": "Hudson Bay Complex", "state": "active", "vocabulary_id": null}, {"display_name": "sea ice", "id": "ce81bb8e-7cd5-4fa4-ac88-ea6bc5b8060d", "name": "sea ice", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}