id ftands:oai:ands.org.au::1957019
record_format openpolar
spelling ftands:oai:ands.org.au::1957019 2024-01-14T10:10:35+01:00 Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM Australian Research Council (isFundedBy) Dr Laurie Menviel (hasCollector) Katrin Meissner (hasPrincipalInvestigator) Katrin Meissner (hasCollector) The University of New South Wales (isManagedBy) University of New South Wales (isManagedBy) https://doi.org/10.26190/vbrq-9a36 https://researchdata.edu.au/multi-model-mean-winter-lgm/1957019 http://hdl.handle.net/1959.4/resource/collection/resdatac_1096/1 unknown University of New South Wales https://researchdata.edu.au/multi-model-mean-winter-lgm/1957019 http://hdl.handle.net/1959.4/resource/collection/resdatac_1096/1 https://doi.org/10.26190/vbrq-9a36 https://www.unsworks.unsw.edu.au/ sea ice extent last glacial maximum southern ocean Palaeoclimatology EARTH SCIENCES PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE Climate Variability (excl. Social Impacts) ENVIRONMENT CLIMATE AND CLIMATE CHANGE Climate Change Models dataset ftands https://doi.org/10.26190/vbrq-9a36 2023-12-18T23:34:23Z The last glacial maximum (LGM) multi-model mean sea-ice edge is developed from 8 PMIP3 simulations and 2 LOVECLIM simulations. This is created for austral summer and austral winter Dataset Sea ice Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Southern Ocean Austral
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic sea ice extent
last glacial maximum
southern ocean
Palaeoclimatology
EARTH SCIENCES
PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE
Climate Variability (excl. Social Impacts)
ENVIRONMENT
CLIMATE AND CLIMATE CHANGE
Climate Change Models
spellingShingle sea ice extent
last glacial maximum
southern ocean
Palaeoclimatology
EARTH SCIENCES
PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE
Climate Variability (excl. Social Impacts)
ENVIRONMENT
CLIMATE AND CLIMATE CHANGE
Climate Change Models
Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
topic_facet sea ice extent
last glacial maximum
southern ocean
Palaeoclimatology
EARTH SCIENCES
PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE
Climate Variability (excl. Social Impacts)
ENVIRONMENT
CLIMATE AND CLIMATE CHANGE
Climate Change Models
description The last glacial maximum (LGM) multi-model mean sea-ice edge is developed from 8 PMIP3 simulations and 2 LOVECLIM simulations. This is created for austral summer and austral winter
author2 Australian Research Council (isFundedBy)
Dr Laurie Menviel (hasCollector)
Katrin Meissner (hasPrincipalInvestigator)
Katrin Meissner (hasCollector)
The University of New South Wales (isManagedBy)
University of New South Wales (isManagedBy)
format Dataset
title Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
title_short Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
title_full Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
title_fullStr Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
title_full_unstemmed Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
title_sort multi-model mean southern ocean sea-ice edge for austral summer and austral winter during the lgm
publisher University of New South Wales
url https://doi.org/10.26190/vbrq-9a36
https://researchdata.edu.au/multi-model-mean-winter-lgm/1957019
http://hdl.handle.net/1959.4/resource/collection/resdatac_1096/1
geographic Southern Ocean
Austral
geographic_facet Southern Ocean
Austral
genre Sea ice
Southern Ocean
genre_facet Sea ice
Southern Ocean
op_source https://www.unsworks.unsw.edu.au/
op_relation https://researchdata.edu.au/multi-model-mean-winter-lgm/1957019
http://hdl.handle.net/1959.4/resource/collection/resdatac_1096/1
https://doi.org/10.26190/vbrq-9a36
op_doi https://doi.org/10.26190/vbrq-9a36
_version_ 1788065360664068096