Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1491-2019
https://doi.org/10.5194/gmd-12-1491-2019
Model description paper
 | 
16 Apr 2019
Model description paper |  | 16 Apr 2019

Ocean carbon and nitrogen isotopes in CSIRO Mk3L-COAL version 1.0: a tool for palaeoceanographic research

Pearse J. Buchanan, Richard J. Matear, Zanna Chase, Steven J. Phipps, and Nathan L. Bindoff

Related authors

Optimisation of the World Ocean Model of Biogeochemistry and Trophic-dynamics (WOMBAT) using surrogate machine learning methods
Pearse James Buchanan, P. Jyoteeshkumar Reddy, Richard J. Matear, Matthew A. Chamberlain, Tyler Rohr, Dougal Squire, and Elizabeth H. Shadwick
EGUsphere, https://doi.org/10.5194/egusphere-2024-4026,https://doi.org/10.5194/egusphere-2024-4026, 2025
Short summary
Oceanic enrichment of ammonium and its impacts on phytoplankton community composition under a high-emissions scenario
Pearse J. Buchanan, Juan J. Pierella Karlusich, Robyn E. Tuerena, Roxana Shafiee, E. Malcolm S. Woodward, Chris Bowler, and Alessandro Tagliabue
EGUsphere, https://doi.org/10.5194/egusphere-2024-3639,https://doi.org/10.5194/egusphere-2024-3639, 2025
Short summary
The simulated climate of the Last Glacial Maximum and insights into the global marine carbon cycle
Pearse J. Buchanan, Richard J. Matear, Andrew Lenton, Steven J. Phipps, Zanna Chase, and David M. Etheridge
Clim. Past, 12, 2271–2295, https://doi.org/10.5194/cp-12-2271-2016,https://doi.org/10.5194/cp-12-2271-2016, 2016
Short summary

Related subject area

Oceanography
GREAT v1.0: Global Real-time Early Assessment of Tsunamis
Usama Kadri, Ali Abdolali, and Maxim Filimonov
Geosci. Model Dev., 18, 3487–3507, https://doi.org/10.5194/gmd-18-3487-2025,https://doi.org/10.5194/gmd-18-3487-2025, 2025
Short summary
Using automatic calibration to improve the physics behind complex numerical models: an example from a 3D lake model using Delft3D (v6.02.10) and DYNO-PODS (v1.0)
Marina Amadori, Abolfazl Irani Rahaghi, Damien Bouffard, and Marco Toffolon
Geosci. Model Dev., 18, 3473–3486, https://doi.org/10.5194/gmd-18-3473-2025,https://doi.org/10.5194/gmd-18-3473-2025, 2025
Short summary
Improvements to the Met Office's global ocean–sea ice forecasting system including model and data assimilation changes
Davi Mignac, Jennifer Waters, Daniel J. Lea, Matthew J. Martin, James While, Anthony T. Weaver, Arthur Vidard, Catherine Guiavarc'h, Dave Storkey, David Ford, Edward W. Blockley, Jonathan Baker, Keith Haines, Martin R. Price, Michael J. Bell, and Richard Renshaw
Geosci. Model Dev., 18, 3405–3425, https://doi.org/10.5194/gmd-18-3405-2025,https://doi.org/10.5194/gmd-18-3405-2025, 2025
Short summary
Resolution dependence of interlinked Southern Ocean biases in global coupled HadGEM3 models
David Storkey, Pierre Mathiot, Michael J. Bell, Dan Copsey, Catherine Guiavarc'h, Helene T. Hewitt, Jeff Ridley, and Malcolm J. Roberts
Geosci. Model Dev., 18, 2725–2745, https://doi.org/10.5194/gmd-18-2725-2025,https://doi.org/10.5194/gmd-18-2725-2025, 2025
Short summary
A new global high-resolution wave model for the tropical ocean using WAVEWATCH III version 7.14
Axelle Gaffet, Xavier Bertin, Damien Sous, Héloïse Michaud, Aron Roland, and Emmanuel Cordier
Geosci. Model Dev., 18, 1929–1946, https://doi.org/10.5194/gmd-18-1929-2025,https://doi.org/10.5194/gmd-18-1929-2025, 2025
Short summary

Cited articles

Altabet, M. A. and Francois, R.: Nitrogen isotope biogeochemistry of the Antarctic Polar Frontal Zone at 170 degrees W, Deep-Sea Res. Pt. II, 48, 4247–4273, https://doi.org/10.1016/S0967-0645(01)00088-1, 2001. a, b
Bohlen, L., Dale, A. W., and Wallmann, K.: Simple transfer functions for calculating benthic fixed nitrogen losses and C:N:P regeneration ratios in global biogeochemical models, Global Biogeochem. Cy., 26, GB3029, https://doi.org/10.1029/2011GB004198, 2012. a, b
Boudreau, B. P.: Carbonate dissolution rates at the deep ocean floor, Geophys. Res. Lett., 40, 744–748, https://doi.org/10.1029/2012GL054231, 2013. a
Boyd, P. W., Strzepek, R. F., Ellwood, M. J., Hutchins, D. A., Nodder, S. D., Twining, B. S., and Wilhelm, S. W.: Why are biotic iron pools uniform across high- and low-iron pelagic ecosystems?, Global Biogeochem. Cy., 29, 1028–1043, https://doi.org/10.1002/2014GB005014, 2015. a
Brandes, J. A. and Devol, A. H.: A global marine-fixed nitrogen isotopic budget: Implications for Holocene nitrogen cycling, Global Biogeochem. Cy., 16, 67–1–67–14, https://doi.org/10.1029/2001GB001856, 2002. a, b, c
Download
Short summary
Oceanic sediment cores are commonly used to understand past climates. The composition of the sediments changes with the ocean above it. An understanding of oceanographic conditions that existed many thousands of years ago, in some cases many millions of years ago, can therefore be extracted from sediment cores. We simulate two chemical signatures (13C and 15N) of sediment cores in a model. This study assesses the model before it is applied to reinterpret the sedimentary record.
Share