Research Data Leeds Repository

Citation

Robinson, Suzanne and Ivanovic, Ruza and Gregoire, Lauren and Astfalck, Lachlan C. and van de Flierdt, Tina and Plancherel, Yves and Pöppelmeier, Frerk (2022) Supplementary: Optimisation of the Nd isotope scheme in the ocean component of the FAMOUS general circulation model. University of Leeds. [Dataset] https://doi.org/10.5518/1181

Dataset description

Dataset forms the code and data availability for the manuscript 'Optimisation of the Nd isotope scheme in the ocean component of the FAMOUS general circulation model'. Contains all model code, input files and model output for the Nd isotope scheme in the ocean component of the FAMOUS General Circulation Model, its optimisation, and sensitivity studies exploring the benthic flux under the global marine Nd cycle.

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/egusphere-2022-937 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	25 Aug 2022 12:34
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1014
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/024mrxd34 ror Gregoire, Lauren https://orcid.org/0000-0003-0258-7282 University of Leeds https://ror.org/024mrxd35 ror Astfalck, Lachlan C. https://orcid.org/0000-0002-8369-9384 University of Western Australia https://ror.org/047272k79 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 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: 02 Sep 2024 10:05

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

Data

Code and model inputs [3MB] Code and model inputs [3MB] Code and model inputs [3MB] Security: Anyone File name: model_input.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3MB

Model output [5MB] Model output [5MB] Model output [5MB] Security: Anyone File name: model_output.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5MB

Scheme optimisation scripts [8kB] Scheme optimisation scripts [8kB] Scheme optimisation scripts [8kB] Security: Anyone File name: nd_optimisation_scripts.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 8kB