Dataset:
Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM
| dc.contributor.other | Menviel, Laurie | |
| dc.contributor.other | Co, Vilia | |
| dc.date.accessioned | 2021-11-26T10:02:35Z | |
| dc.date.available | 2021-11-26T10:02:35Z | |
| dc.date.issued | 2020 | en_US |
| dc.description.abstract | 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 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1959.4/resource/collection/resdatac_1096/1 | |
| dc.language | English | |
| dc.language.iso | EN | en_US |
| dc.rights | CC-BY | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.subject.other | sea ice extent | en_US |
| dc.subject.other | last glacial maximum | en_US |
| dc.subject.other | southern ocean | en_US |
| dc.title | Multi-model mean Southern Ocean sea-ice edge for austral summer and austral winter during the LGM | en_US |
| dc.type | Dataset | en_US |
| dcterms.accessRights | metadata only access | |
| dspace.entity.type | Dataset | en_US |
| unsw.accessRights.uri | http://purl.org/coar/access_right/c_14cb | |
| unsw.contributor.leadChiefInvestigator | Meissner, Katrin | |
| unsw.contributor.researchDataCreator | Green, Ryan | en_US |
| unsw.contributor.researchDataCreator | Menviel, Laurie | en_US |
| unsw.contributor.researchDataCreator | Meissner, Katrin | en_US |
| unsw.description.storageplace | Climate Change Research Centre, University of New South Wales, Sydney, Australia, Katrin Meissner and Laurie Menviel | en_US |
| unsw.description.storageplace | ARC Centre of Excellence for Climate System Science, Sydney, Australia,Katrin Meissner and Laurie Menviel | en_US |
| unsw.identifier.doi | https://doi.org/10.26190/vbrq-9a36 | en_US |
| unsw.isDatasetRelatingToDataset | LGM seasonal sea ice multi-model mean for PMIP3, PMIP4 and LOVECLIM sensitivity runs | |
| unsw.isPublicationRelatedToDataset | Menviel et al., 2017, Paleoceanography | en_US |
| unsw.isPublicationRelatedToDataset | Green et al, CP | en_US |
| unsw.relation.FunderRefNo | DP180100048 | |
| unsw.relation.OriginalPublicationAffiliation | Green, Ryan, , University of California, Santa Cruz, | en_US |
| unsw.relation.OriginalPublicationAffiliation | Menviel, Laurie, Biological| Earth & Env Sci, Faculty of Science, | en_US |
| unsw.relation.OriginalPublicationAffiliation | Meissner, Katrin, Biological| Earth & Env Sci, Faculty of Science, | en_US |
| unsw.relation.faculty | Science | |
| unsw.relation.fundingAgency | AUSTRALIAN RESEARCH COUNCIL | |
| 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 | 2023-12-31 | |
| unsw.relation.projectStartDate | 2018-01-01 | |
| unsw.relation.projectTitle | new insights into abrupt climate change using isotope model-data fusion | en_US |
| unsw.relation.school | School of Biological, Earth & Environmental Sciences | |
| unsw.relation.unswGrantNo | RG163161 |