Research Data Leeds Repository

Citation

Robinson, Suzanne and Ivanovic, Ruza and Gregoire, Lauren and Tindall, Julia and van de Flierdt, Tina and Plancherel, Yves and Pöppelmeier, Frerk and Tachikawa, Kazuyo and Valdes, Paul (2022) Supplementary: Simulating neodymium isotopes in the ocean component of the FAMOUS general circulation model (XPDAA): sensitivities to reversible scavenging efficiency and benthic source distributions. University of Leeds. [Dataset] https://doi.org/10.5518/1136

Dataset description

The neodymium (Nd) isotopic composition of seawater is a widely used ocean circulation tracer. However, uncertainty in quantifying the global ocean Nd budget, particularly constraining elusive non-conservative processes, remains a major challenge. A substantial increase in modern seawater Nd measurements from the GEOTRACES programme coupled with recent hypotheses that a seafloor-wide benthic Nd flux to the ocean may govern global Nd isotope distributions (εNd) presents an opportunity to develop a new scheme specifically designed to test these paradigms. Here, we present the implementation of Nd isotopes (143Nd and 144Nd) into the ocean component of the FAMOUS coupled atmosphere-ocean general circulation model, a tool which can be widely used for simulating complex feedbacks between different Earth system processes on decadal to multi-millennial timescales.

Using an equilibrium pre-industrial simulation tuned to represent the largescale Atlantic Ocean circulation, we perform a series of sensitivity tests evaluating the new Nd isotope scheme. We investigate how Nd source/sink and cycling parameters govern global marine εNd distributions, and provide an updated compilation of 6,048 Nd concentration and 3,278 εNd measurements to assess model performance. Our findings support the notions that reversible scavenging is a key process for enhancing the Atlantic-Pacific basinal εNd gradient, and is capable of driving the observed increase in Nd concentration along the global circulation pathway. A benthic flux represents a major source of Nd to the deep ocean. However, model-data disparities in the North Pacific highlight that the source of εNd from seafloor sediment is too unradiogenic in our model with a constant benthic flux. Additionally, model-data mismatch in the northern North Atlantic suggests a missing source of Nd that is much more unradiogenic than the bulk sediment, alluding to the possibility of preferential contributions from ‘reactive’ detrital sediments under a benthic flux driven model of marine Nd cycling.

The new Nd isotope scheme forms an excellent tool for exploring global marine Nd cycling and the interplay between climatic and oceanographic conditions under both modern and palaeoceanographic contexts.

Subjects:	F000 - Physical sciences > F600 - Geology > F670 - Geochemistry F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F730 - Ocean sciences > F731 - Ocean circulation F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F760 - Climatology > F764 - Climate & climate change
Divisions:	Faculty of Environment > School of Earth and Environment
Related resources:	Location Type https://doi.org/10.5194/gmd-16-1231-2023 Publication https://eprints.whiterose.ac.uk/196736/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	14 Jun 2022 14:56
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/979
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Robinson, Suzanne https://orcid.org/0000-0003-4035-800X University of Leeds https://ror.org/024mrxd33 ror Ivanovic, Ruza https://orcid.org/0000-0002-7805-6018 University of Leeds https://ror.org/024mrxd33 ror Gregoire, Lauren https://orcid.org/0000-0003-0258-7282 University of Leeds https://ror.org/024mrxd33 ror Tindall, Julia https://orcid.org/0000-0002-2360-5761 University of Leeds https://ror.org/024mrxd33 ror van de Flierdt, Tina https://orcid.org/0000-0001-7176-9755 Imperial College London https://ror.org/041kmwe10 ror Plancherel, Yves https://orcid.org/0000-0002-3624-0757 Imperial College London https://ror.org/041kmwe10 ror Pöppelmeier, Frerk https://orcid.org/0000-0003-4050-2550 University of Bern https://ror.org/02k7v4d05 ror Tachikawa, Kazuyo https://orcid.org/0000-0002-9522-8600 Aix-Marseille University https://ror.org/035xkbk20 ror Valdes, Paul https://orcid.org/0000-0002-1902-3283 University of Bristol https://ror.org/0524sp257 ror Type of data: Dataset Research funders: NERC Grant numbers: NE/ L002574/1 Publication date: 2022 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: ee14s2r@leeds.ac.uk Last Modified: 14 Jun 2024 11:01

Files

Documentation

Description of dataset [5kB] Description of dataset [5kB] Description of dataset [5kB] Security: Anyone File name: README.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5kB

Program

Code and model inputs [3MB] Code and model inputs [3MB] Code and model inputs [3MB] Security: Anyone File name: code_and_inputs.zip Content type: Program Mime-Type: application/zip License: MIT License File size: 3MB

Model output [491MB] Model output [491MB] Model output [491MB] Security: Anyone File name: model_output.zip Content type: Program Mime-Type: application/zip License: MIT License File size: 491MB