Data

Oceanic carbon-13 and nitrogen-15 isotopes simulated by CSIRO Mk3L-COAL version 1.0

Also known as: Mk3L-COALv1.0_ocean_c13_n15
ARC Centre of Excellence for Climate System Science
Pearse Buchanan (Aggregated by, Principal investigator) ARC Centre of Excellence for Climate Extremes Data Manager (Managed by) ARC Centre of Excellence for Climate System Science Data Manager (Managed by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25914/5c6643f64446c&rft.title=Oceanic carbon-13 and nitrogen-15 isotopes simulated by CSIRO Mk3L-COAL version 1.0&rft.identifier=http://dx.doi.org/10.25914/5c6643f64446c&rft.publisher=ARC Centre of Excellence for Climate System Science&rft.description=The isotopes of carbon (δ13C) and nitrogen (δ15N) are commonly used proxies for understanding the ocean. When used in tandem, they provide powerful insight into physical and biogeochemical processes. Here, we detail the implementation of δ13C and δ15N in the ocean component of an Earth system model. We evaluate our simulated δ13C and δ15N against contemporary measurements, place the model's performance alongside other isotope enabled models, and document the response of δ13C and δ15N to changes in ecosystem functioning. The model combines the Commonwealth Scientific and Industrial Research Organisation Mark 3L (CSIRO Mk3L) climate system model with the Carbon of the Ocean, Atmosphere and Land (COAL) biogeochemical model. The oceanic component of CSIRO Mk3L-COAL has a resolution of 1.6° latitude × 2.8° longitude and resolves multi-millennial timescales, running at a rate of ∼400 years per day. We show that this coarse resolution, computationally efficient model adequately reproduces water column and coretop δ13C and δ15N measurements, making it a useful tool for palaeoceanographic research. Changes to ecosystem function involve varying phytoplankton stoichiometry, varying CaCO3 production based on calcite saturation state, and varying N2 fixation via iron limitation. We find that large changes in CaCO3 production have little effect on δ13C and δ15N, while changes in N2 fixation and phytoplankton stoichiometry have substantial and complex effects. Interpretations of palaeoceanographic records are therefore open to multiple lines of interpretation where multiple processes imprint on the isotopic signature, such as in the tropics where denitrification, N2 fixation and nutrient utilisation influence δ15N. Hence, there is significant scope for isotope enabled models to provide more robust interpretations of the proxy records.&rft.creator=Pearse Buchanan&rft.date=2019&rft.relation=10.5194/gmd-4-483-2011&rft.relation=10.5194/gmd-5-649-2012&rft.relation=10.5194/gmd-2018-225&rft.coverage=0,-90 0,90 360,90 360,-90 0,-90&rft_rights=Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.&rft_rights=Creative Commons - Attribution - Non Commercial - Share Alike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode&rft_subject=Palaeoclimatology&rft_subject=EARTH SCIENCES&rft_subject=PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE&rft_subject=nitrogen cycle&rft_subject=carbon cycle&rft_subject=Climate Change Processes&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Biological Oceanography&rft_subject=OCEANOGRAPHY&rft_subject=Chemical Oceanography&rft_subject=Quaternary Environments&rft_subject=Isotope Geochemistry&rft_subject=GEOCHEMISTRY&rft_subject=ocean modelling&rft.type=dataset&rft.language=English Access the data

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CC-BY-NC-SA

Creative Commons - Attribution - Non Commercial - Share Alike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.

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Full description

The isotopes of carbon (δ13C) and nitrogen (δ15N) are commonly used proxies for understanding the ocean. When used in tandem, they provide

powerful insight into physical and biogeochemical processes. Here, we detail the implementation of δ13C and δ15N in the ocean component of an

Earth system model. We evaluate our simulated δ13C and δ15N against contemporary measurements, place the model's performance alongside

other isotope enabled models, and document the response of δ13C and δ15N to changes in ecosystem functioning. The model combines the

Commonwealth Scientific and Industrial Research Organisation Mark 3L (CSIRO Mk3L) climate system model with the Carbon of the Ocean,

Atmosphere and Land (COAL) biogeochemical model. The oceanic component of CSIRO Mk3L-COAL has a resolution of 1.6° latitude × 2.8°

longitude and resolves multi-millennial timescales, running at a rate of ∼400 years per day. We show that this coarse resolution, computationally

efficient model adequately reproduces water column and coretop δ13C and δ15N measurements, making it a useful tool for palaeoceanographic

research. Changes to ecosystem function involve varying phytoplankton stoichiometry, varying CaCO3 production based on calcite saturation state,

and varying N2 fixation via iron limitation. We find that large changes in CaCO3 production have little effect on δ13C and δ15N, while changes in N2

fixation and phytoplankton stoichiometry have substantial and complex effects. Interpretations of palaeoceanographic records are therefore open to

multiple lines of interpretation where multiple processes imprint on the isotopic signature, such as in the tropics where denitrification, N2 fixation and

nutrient utilisation influence δ15N. Hence, there is significant scope for isotope enabled models to provide more robust interpretations of the proxy

records.

Created: 2019-02-01

This dataset is part of a larger collection

0,-86 0,86 180,86 180,-86 0,-86

90,0

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