UVic modelling outputs: Version 2

doi:10.26190/XTFF-NZ52

Dataset:

UVic modelling outputs: Version 2

dc.coverage.spatial	Global	en_US
dc.date.accessioned	2021-11-26T10:08:09Z
dc.date.available	2021-11-26T10:08:09Z
dc.date.issued	2021	en_US
dc.description.abstract	This is an updated version of the dataset record (UVic modelling outputs for LGM) with corresponding DOI: https://doi.org/10.26190/5f2b69ff95d8f . The dataset listed here is the output of numerical simulations performed with the UVic earth system climate model of intermediate complexity. It enlists multiple variables of the atmosphere ocean and marine biogeochemistry. The data is obtained by forcing the model under two climate boundary conditions, preindustrial (~1800) and the Last Glacial Maximum (~20ka), and corresponds to the manuscript entitled "Southern Ocean ecosystem response to Last Glacial Maximum boundary conditions".	en_US
dc.identifier.uri	http://hdl.handle.net/1959.4/resource/collection/resdatac_1164/1
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	Last Glacial Maximum	en_US
dc.subject.other	Marine biogeochemistry	en_US
dc.subject.other	Southern Ocean glacial Iron fertilisation	en_US
dc.subject.other	Marine plankton and carbon cycle	en_US
dc.title	UVic modelling outputs: Version 2	en_US
dc.type	Dataset	en_US
dcterms.accessRights	open access
dcterms.rightsHolder	Copyright 2021, HIMADRI SAINI	en_US
dspace.entity.type	Dataset	en_US
unsw.accessRights.uri	https://purl.org/coar/access_right/c_abf2
unsw.contributor.researchDataCreator	Meissner, Katrin	en_US
unsw.contributor.researchDataCreator	Menviel, Laurie	en_US
unsw.contributor.researchDataCreator	Kvale, Karin	en_US
unsw.identifier.doi	https://doi.org/10.26190/XTFF-NZ52	en_US
unsw.isDatasetRelatingToDataset	UVic modelling outputs for LGM
unsw.isPublicationRelatedToDataset	Saini, H., Kvale, K., Chase, Z., Kohfeld, K. E., Meissner, K. J., & Menviel, L. (2021). Southern Ocean ecosystem response to last glacial maximum boundary conditions. Paleoceanography and Paleoclimatology, 36, e2020PA004075. https://doi.org/10.1029/2020PA004075	en_US
unsw.isPublicationRelatedToDataset	Southern Ocean ecosystem and global carbon cycle responses to iron fertilisation during the last glacial cycle
unsw.isPublicationRelatedToDataset	Southern Ocean ecosystem and global carbon cycle responses to iron fertilisation during the last glacial cycle
unsw.relation.OriginalPublicationAffiliation	Meissner, Katrin, Biological\| Earth & Env Sci, Faculty of Science,	en_US
unsw.relation.OriginalPublicationAffiliation	Menviel, Laurie, Biological\| Earth & Env Sci, Faculty of Science,	en_US
unsw.relation.OriginalPublicationAffiliation	Kvale, Karin, , GNS Science, Lower Hutt, New Zealand,	en_US
unsw.relation.faculty	Science
unsw.relation.projectDesc	Phytoplankton exert a significant control on the marine carbon cycle, and can thus impact atmospheric CO 2 on centennial to millennial timescales. Here we use a new ecosys- tem model which includes four different phytoplankton functional types (diazotrophs, coccolithophores, diatoms, and other general phytoplankton) to understand their response to Last Glacial Maximum (LGM) boundary conditions.	en_US
unsw.relation.projectTitle	Simulated response of marine ecosystems to LGM	en_US
unsw.relation.school	School of Biological, Earth & Environmental Sciences