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dc.contributor.authorMorée, Anne
dc.contributor.authorSchwinger, Jörg
dc.contributor.authorNinnemann, Ulysses S
dc.contributor.authorJeltsch-Thommes, Aurich
dc.contributor.authorBethke, Ingo
dc.contributor.authorHeinze, Christoph
dc.date.accessioned2021-08-09T10:40:32Z
dc.date.available2021-08-09T10:40:32Z
dc.date.created2021-04-07T15:40:33Z
dc.date.issued2021
dc.identifier.issn1814-9324
dc.identifier.urihttps://hdl.handle.net/11250/2766977
dc.description.abstractAlthough both physical and biological marine changes are required to explain the 100 ppm lower atmospheric pCO2 of the Last Glacial Maximum (LGM, ∼21 ka) as compared to preindustrial (PI) times, their exact contributions are debated. Proxies of past marine carbon cycling (such as δ13C) document these changes and thus provide constraints for quantifying the drivers of long-term carbon cycle variability. This modeling study discusses the physical and biological changes in the ocean needed to simulate an LGM ocean in satisfactory agreement with proxy data, here focusing especially on δ13C. We prepared a PI and LGM equilibrium simulation using the ocean model NorESM-OC with full biogeochemistry (including the carbon isotopes δ13C and radiocarbon) and dynamic sea ice. The modeled LGM–PI differences are evaluated against a wide range of physical and biogeochemical proxy data and show agreement for key aspects of the physical ocean state within the data uncertainties. However, the lack of a simulated increase of regenerated nutrients for the LGM indicates that additional biogeochemical changes are required to simulate an LGM ocean in agreement with proxy data. In order to examine these changes, we explore the potential effects of different global mean biological pump efficiencies on the simulated marine biogeochemical tracer distributions. Through estimating which biological pump efficiency reduces LGM model–proxy biases the most, we estimate that the global mean biological pump efficiency increased from 38 % (PI) to up to 75 % (LGM). The drivers of such an increase in the biological pump efficiency may be both biological and related to circulation changes that are incompletely captured by our model – such as stronger isolation of Southern Source Water. Finally, even after considering a 75 % biological pump efficiency in the LGM ocean, a remaining model–proxy error in δ13C exists that is 0.07 ‰ larger than the 0.19 ‰ data uncertainty. This error indicates that additional changes in ocean dynamics are needed to simulate an LGM ocean in agreement with proxy data.en_US
dc.language.isoengen_US
dc.publisherCopernicus Publicationsen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEvaluating the biological pump efficiency of the Last Glacial Maximum ocean using δ13Cen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright Author(s) 2021.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.5194/cp-17-753-2021
dc.identifier.cristin1902792
dc.source.journalClimate of the Pasten_US
dc.source.pagenumber753-774en_US
dc.relation.projectNorges forskningsråd: 270061en_US
dc.relation.projectNotur/NorStore: NN2980Ken_US
dc.relation.projectNorges forskningsråd: 229771en_US
dc.relation.projectNotur/NorStore: NN2345Ken_US
dc.relation.projectEC/H2020/641816en_US
dc.relation.projectNotur/NorStore: NS2980Ken_US
dc.relation.projectNotur/NorStore: NS2345Ken_US
dc.identifier.citationClimate of the Past. 2021, 17, 753-774.en_US
dc.source.volume17en_US


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