Previous papers with WOMBAT ocean-BGC

[matt-csiro]

For reference, here is a list of papers with descriptions and various evaluations of WOMBAT:

• Oke et al. 2013, Evaluation of a near-global eddy-resolving ocean model, GMD, https://doi.org/10.5194/gmd-6-591-2013. Description of WOMBAT. Compares simulated and observed phytoplankton/chlorophyll variability and snapshots of western boundary currents.
• Law et al. 2017, The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1) – Part 1: Model description and pre-industrial simulation, GMD, https://doi.org/10.5194/gmd-10-2567-2017. Includes an update to the ocean-BGC parameters. Maps of average productivity, export, carbon flux, and surface phosphate. Zonal sections of average DIC, alkalinity, phosphate and oxygen.
• Ziehn et al. 2017, The carbon cycle in the Australian Community Climate and Earth System Simulator (ACCESS-ESM1) – Part 2: Historical simulations, GMD, https://doi.org/10.5194/gmd-10-2591-2017. Simulated historical responses of productivity and carbon. Time series of global productivity and carbon flux. Taylor diagrams of surface fields. Maps of surface fields and carbon column abundances. Seasonal cycles of latitudinal averages.
• Ziehn et al. 2020, The Australian Earth System Model: ACCESS-ESM1.5, JSHESS, https://doi.org/10.1071/ES19035. Updated BGC parameterisations. Time series, maps and sections to demonstrate improvements in simulated productivity and carbon flux.

Here are some further papers including analysis of WOMBAT output:

• Matear et al. 2013, Climate change projection of the Tasman Sea from and eddy-resolving ocean model, JGR, https://doi.org/10.1002/jgrc.20202.
• Matear et al. 2015, Climate change projection for the western tropical Pacific Ocean using a high-resolution ocean model: Implications for tuna fisheries, DSR2, https://doi.org/10.1016/j.dsr2.2014.07.003.
• Zhang et al. 2016, A near-global eddy-resolving OGCM for climate studies,GMDD, https://doi.org/10.5194/gmd-2016-17.
• Langlais et al. 2017. Stationary Rossby waves dominate subduction of anthropogenic carbon in the Southern Ocean, SciRep, https://doi.org/10.1038/s41598-017-17292-3.
• Friedlingstein, et al. 2020, Global Carbon Budget 2020, ESSD, https://doi.org/10.5194/essd-12-3269-2020.
• Kwiatkowski et al. 2020, Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections, https://doi.org/10.5194/bg-17-3439-2020.

[hakaseh]

A few more to share:

• Hayashida et al. 2020, Background nutrient concentration determines phytoplankton bloom response to marine heatwaves, Global Change Biology, https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.15255. This study used the WOMBAT output of OFAM3. The supplementary material compares simulated phytoplankton biomass with satellite chl-a at different parts of the global ocean.
• Mortenson et al., 2021, Divergent trajectories of ocean warming and acidification, ERL, https://doi.org/10.1088/1748-9326/ac3d57. This study used the WOMBAT of OFAM3.

And not the evaluation of WOMBAT, but the description of WOMBAT coupled to sea-ice BGC:

• Hayashida et al., 2021, Ice Algae Model Intercomparison Project phase 2 (IAMIP2), GMD, https://gmd.copernicus.org/articles/14/6847/2021/

[PaulSpence]

Menviel, L., Spence, P., Skinner, L., Tachikawa, K., Friedrich, T., Missiaen, L. and Yu, L. 2020: Enhanced Mid‐depth Southward Transport in the Northeast Atlantic at the Last Glacial Maximum Despite a Weaker AMOC. Paleoceanography and Paleoclimatology. https://doi.org/10.1029/2019PA003793

Menviel, L, Spence, P, Yu, J, Chamberlain, MA & Matear, RJ et al. 2018: Southern Hemisphere westerlies as a driver of the early deglacial atmospheric CO2 rise, Nature Communications, vol. 9, no. 1, https://doi:10.1038/s41467-018-04876-4

[PaulSpence]

Menviel, L, Spence, P & England, MH 2015, ‘Contribution of enhanced Antarctic Bottom Water formation to Antarctic warm events and millennial-scale atmospheric CO2 increase’, Earth and Planetary Science Letters, vol. 413, pp. 37–50, https://doi.org/10.1016/j.epsl.2014.12.050