UVic modelling outputs: Version 2 ...

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...

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Bibliographic Details
Main Authors: Meissner, Katrin, Menviel, Laurie, Kvale, Karin
Format: Dataset
Language:unknown
Published: UNSW Sydney 2021
Subjects:
Online Access:https://dx.doi.org/10.26190/xtff-nz52
http://hdl.handle.net/1959.4/resource/collection/resdatac_1164/1
id ftdatacite:10.26190/xtff-nz52
record_format openpolar
spelling ftdatacite:10.26190/xtff-nz52 2023-07-23T04:21:52+02:00 UVic modelling outputs: Version 2 ... Meissner, Katrin Menviel, Laurie Kvale, Karin 2021 https://dx.doi.org/10.26190/xtff-nz52 http://hdl.handle.net/1959.4/resource/collection/resdatac_1164/1 EN unknown UNSW Sydney https://dx.doi.org/10.1029/2020pa004075 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Last Glacial Maximum Marine biogeochemistry Southern Ocean glacial Iron fertilisation Marine plankton and carbon cycle dataset Dataset 2021 ftdatacite https://doi.org/10.26190/xtff-nz5210.1029/2020pa004075 2023-07-03T20:58:48Z 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". ... Dataset Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Last Glacial Maximum
Marine biogeochemistry
Southern Ocean glacial Iron fertilisation
Marine plankton and carbon cycle
spellingShingle Last Glacial Maximum
Marine biogeochemistry
Southern Ocean glacial Iron fertilisation
Marine plankton and carbon cycle
Meissner, Katrin
Menviel, Laurie
Kvale, Karin
UVic modelling outputs: Version 2 ...
topic_facet Last Glacial Maximum
Marine biogeochemistry
Southern Ocean glacial Iron fertilisation
Marine plankton and carbon cycle
description 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". ...
format Dataset
author Meissner, Katrin
Menviel, Laurie
Kvale, Karin
author_facet Meissner, Katrin
Menviel, Laurie
Kvale, Karin
author_sort Meissner, Katrin
title UVic modelling outputs: Version 2 ...
title_short UVic modelling outputs: Version 2 ...
title_full UVic modelling outputs: Version 2 ...
title_fullStr UVic modelling outputs: Version 2 ...
title_full_unstemmed UVic modelling outputs: Version 2 ...
title_sort uvic modelling outputs: version 2 ...
publisher UNSW Sydney
publishDate 2021
url https://dx.doi.org/10.26190/xtff-nz52
http://hdl.handle.net/1959.4/resource/collection/resdatac_1164/1
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation https://dx.doi.org/10.1029/2020pa004075
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.26190/xtff-nz5210.1029/2020pa004075
_version_ 1772188147807944704