Dr. Terence O’kane

Marine & Atmospheric Research

Commonwealth Scientific and Industrial Research Organization, Australia

Senior Research Scientist

Email: [email protected]

Qualifications

2003 Ph.D., Applied Mathematics, Monash University, Australia

1999 M.Sc., Theoretical Physics, The University of Melbourne, Australia

1996 B.Sc.(Hons), Applied Mathematics, LaTrobe University, Australia

Publications (Selected)

1. Groom, M., Bassetti, D., Horenko, I., O'Kane, T. J. (2026). Entropic learning enables skilful forecasts of ENSO phase at up to 2 years lead time. Journal of Advances in Modeling Earth Systems, 18(1), e2025MS005128.
2. Kitsios, V., Cordier, L., O’Kane, T. J. (2026). Three-dimensional proper orthogonal decomposition reduced-order model of the global atmospheric climate. International Journal of Heat and Fluid Flow, 119, 110253.
3. Li, D., Kitsios, V., Newth, D., O'Kane, T. J. (2025). A Bayesian ensemble projection of climate change and technological impacts on future crop yields. arXiv preprint arXiv:2507.21559.
4. Li, D., Kitsios, V., Newth, D., O’Kane, T. J. (2025). Machine learning projection of climate and technology impacts on crops key to food security. Environmental Research: Climate, 4(2), 025003.
5. Groom, M., Bassetti, D., Horenko, I., O’Kane, T. J. (2024). On the comparative utility of entropic learning versus deep learning for long-range ENSO prediction. Artificial Intelligence for the Earth Systems, 3(4), 240009.
6. Frederiksen, J. S., Kitsios, V., O’Kane, T. J. (2024). Statistical dynamics and subgrid modelling of turbulence: From isotropic to inhomogeneous. Atmosphere, 15(8), 921.
7. O’Kane, T. J., Frederiksen, J. S., Frederiksen, C. S., Horenko, I. (2024). Beyond the first tipping points of Southern Hemisphere climate. Climate, 12(6), 81.
8. O'Kane, T. J., Harries, D., Collier, M. A. (2024). Bayesian structure learning for climate model evaluation. Journal of Advances in Modeling Earth Systems, 16(5), e2023MS004034.
9. Kitsios, V., O’Kane, T. J., Newth, D. (2023). A machine learning approach to rapidly project climate responses under a multitude of net-zero emission pathways. Communications Earth Environment, 4(1), 355.
10. O'Kane, T. J., Scaife, A. A., Kushnir, Y., Brookshaw, A., Buontempo, C., Carlin, D., Wu, B. (2023). Recent applications and potential of near-term (interannual to decadal) climate predictions. Frontiers in Climate, 5, 1121626.
11. Schroeter, S., O'Kane, T. J., Sandery, P. A. (2023). Antarctic sea ice regime shift associated with decreasing zonal symmetry in the Southern Annular Mode. The Cryosphere, 17(2), 701-717.
12. Horenko, I., Vecchi, E., Kardoš, J., Wächter, A., Schenk, O., O’Kane, T. J., Gerber, S. (2023). On cheap entropy-sparsified regression learning. Proceedings of the National Academy of Sciences, 120(1), e2214972120.
13. Franzke, C. L., Blender, R., O’Kane, T. J., Lembo, V. (2022). Stochastic methods and complexity science in climate research and modeling. Frontiers in Physics, 10, 931596.
14. Lou, J., O’Kane, T. J., Holbrook, N. J. (2021). Linking the atmospheric Pacific-South American mode with oceanic variability and predictability. Communications Earth Environment, 2(1), 223.
15. Quinn, C., Harries, D., O’Kane, T. J. (2021). Dynamical analysis of a reduced model for the North Atlantic Oscillation. Journal of the Atmospheric Sciences, 78(5), 1647-1671.
16. Kitsios, V., Sandery, P., O’Kane, T. J., Fiedler, R. (2021). Ensemble Kalman filter parameter estimation of ocean optical properties for reduced biases in a coupled general circulation model. Journal of Advances in Modeling Earth Systems, 13(2), e2020MS002252.
17. Lou, J., O’Kane, T. J., Holbrook, N. J. (2021). A linear inverse model of tropical and South Pacific climate variability: optimal structure and stochastic forcing. Journal of Climate, 34(1), 143-155.
18. Sandery, P. A., O’Kane, T. J., Kitsios, V., Sakov, P. (2020). Climate model state estimation using variants of EnKF coupled data assimilation. Monthly Weather Review, 148(6), 2411-2431.
19. O’Kane, T. J., Squire, D. T., Sandery, P. A., Kitsios, V., Matear, R. J., Moore, T. S., Watterson, I. G. (2020). Enhanced ENSO prediction via augmentation of multimodel ensembles with initial thermocline perturbations. Journal of Climate, 33(6), 2281-2293.
20. Lou, J., Holbrook, N. J., O’Kane, T. J. (2019). South Pacific decadal climate variability and potential predictability. Journal of Climate, 32(18), 6051-6069.
21. Dunstan, P. K., Foster, S. D., King, E., Risbey, J., O’Kane, T. J., Monselesan, D., Thompson, P. A. (2018). Global patterns of change and variation in sea surface temperature and chlorophyll a. Scientific reports, 8(1), 14624.
22. Gwyther, D. E., O’Kane, T. J., Galton-Fenzi, B. K., Monselesan, D. P., Greenbaum, J. S. (2018). Intrinsic processes drive variability in basal melting of the Totten Glacier Ice Shelf. Nature communications, 9(1), 3141.
23. Risbey, J. S., Grose, M. R., Monselesan, D. P., O'Kane, T. J., Lewandowsky, S. (2017). Transient response of the global mean warming rate and its spatial variation. Weather and climate extremes, 18, 55-64.
24. O’Kane, T. J., Monselesan, D. P., Risbey, J. S. (2017). A multiscale reexamination of the Pacific–South American pattern. Monthly Weather Review, 145(1), 379-402.
25. Salinger, J., Hobday, A. J., Matear, R. J., O’Kane, T. J., Risbey, J. S., Dunstan, P., Thompson, P. A. (2016). Decadal-scale forecasting of climate drivers for marine applications. Advances in Marine Biology, 74, 1-68.

Profile Details

https://orcid.org/0000-0002-2137-5915

https://people.csiro.au/O/T/Terence-OKane

https://www.researchgate.net/profile/Terence-Okane

https://scholar.google.com/citations?user=Jr5Xsk4AAAAJ&hl=en

WoS Researcher ID: B-1655-2009