Dataset:
LGM seasonal sea ice multi-model mean for PMIP3, PMIP4 and LOVECLIM sensitivity runs

ac.person.orcid 0000-0002-0716-7415
ac.person.orcid 0000-0002-0716-7415
ac.person.orcid 0000-0002-5068-1591
ac.person.orcid 0000-0002-5068-1591
ac.person.position Staff
ac.person.position Staff
ac.person.position Staff
dc.contributor.other Menviel, Laurie
dc.contributor.other Co, Vilia
dc.coverage.spatial Southern ocean
dc.date.accessioned 2022-01-20T22:00:35Z
dc.date.available 2022-01-20T22:00:35Z
dc.date.issued 2022-01-24
dc.description.abstract This dataset contains simulated sea ice multi-model mean data for both austral winter and summer during the LGM. The multi-model mean for PMIP3 contains 8 model simulations, for PMIP4 7 model simulations, and for LOVECLIM sensitivity it contains 2 model simulations. Each multi-model mean has data for austral winter and summer, yielding 6 total data files.
dc.identifier.uri http://hdl.handle.net/1959.4/100036
dc.language English
dc.language.iso EN
dc.rights CC-BY
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject.other sea ice extent
dc.subject.other last glacial maximum
dc.subject.other southern ocean
dc.title LGM seasonal sea ice multi-model mean for PMIP3, PMIP4 and LOVECLIM sensitivity runs
dc.type Dataset
dcterms.accessRights open access
dcterms.accrualMethod We gathered the data from either ESGF or we asked the prior author directly for their model data (if not yet published publicly).
dcterms.rightsHolder UNSW
dspace.entity.type Dataset
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.contributor.leadChiefInvestigator Meissner, Katrin
unsw.contributor.researchDataCreator Meissner, Katrin
unsw.contributor.researchDataCreator Menviel, Laurie
unsw.coverage.temporalText Last Glacial Maximum
unsw.identifier.doi https://doi.org/10.26190/unsworks/1636
unsw.isDatasetRelatedToDataset LOVECLIM ocean and sea-ice results
unsw.isDatasetRelatedToDataset Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
unsw.isPublicationRelatedToDataset Menviel et al. 2017, Paleoceanography
unsw.relation.FunderRefNo DP180100048
unsw.relation.faculty Science
unsw.relation.fundingAgency AUSTRALIAN RESEARCH COUNCIL - DISCOVERY PROJECT
unsw.relation.fundingScheme DISCOVERY PROJECT
unsw.relation.projectDesc THERE HAVE BEEN SEVERAL EPISODES IN THE PAST 60,000 YEARS DURING WHICH CARBON DIOXIDE WAS RELEASED INTO THE ATMOSPHERE CAUSING SIGNIFICANT AND RAPID WARMING. THE AIM OF THIS STUDY IS TO DETERMINE THE SOURCE OF THE CARBON RESPONSIBLE FOR THESE WARMING EVENTS. THE PROJECT IS SIGNIFICANT BECAUSE IT WILL INCREASE OUR UNDERSTANDING OF THE PROCESSES UNDERLYING ABRUPT PAST, AND POTENTIAL FUTURE CHANGES. THESE PROCESSES ARE CURRENTLY UNDERESTIMATED OR MISSING IN CLIMATE MODELS. THE EXPECTED OUTCOMES INCLUDE A BETTER UNDERSTANDING OF THE NON-LINEAR RESPONSES IN THE CLIMATE SYSTEM. THIS SHOULD PROVIDE SIGNIFICANT BENEFITS, SUCH AS AN ASSESSMENT OF WHETHER THE SMOOTH CLIMATE CHANGES CURRENTLY PROJECTED THROUGH TO YEAR 2100 ARE MISLEADING.
unsw.relation.projectEndDate 2022-12-31
unsw.relation.projectStartDate 2018-01-01
unsw.relation.projectTitle new insights into abrupt climate change using isotope model-data fusion
unsw.relation.school School of Biological, Earth & Environmental Sciences
unsw.relation.unswGrantNo RG163161
unsw.subject.SEOcode 190502 Climate variability (excl. social impacts)
unsw.subject.SEOcode 190501 Climate change models
unsw.subject.SEOcode 960304 Climate Variability (excl. Social Impacts)
unsw.subject.SEOcode 960303 Climate Change Models
unsw.subject.fieldofresearchcode 370904 Palaeoclimatology
unsw.subject.fieldofresearchcode 040605 Palaeoclimatology
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