Tamás Bódai
Young Scientist Fellow of IBS & Research Professor of PNU
Email: bodai@pusan.ac.kr
Phone: +82 (0) 51-510-7637
Research interests
- Forced response of the climate system, with particular view towards teleconnections, extremes, nonlinearities and tipping
- Snapshot/pullback attractors, response theory, fluctuation-dissipation relations, climate sensitivity, application to geoengineering assessment
- Statistics and predictability of extremes in deterministic and stochastic systems
- Critical transitions, transient chaos, nonergodicity of the climate system
Education
| 2009 | PhD in Engineering, School of Engineering, University of Aberdeem |
| 2004 | MEng, Faculty of Mechanical Engineering, Budapest University of Technology |
Work Experience
| 2017 | 2019 | Postdoc, Mathematics and Statistics, University of Reading |
| 2013 | 2016 | Postdoc, Theoretical Meteorology, University of Hamburg |
| 2011 | 2013 | Visiting Scientist, Max Planck Institute for the Physics of Complex Systems, Dresden |
| 2010 | 2011 | Postdoc, Theoretical Physics, Eötvös University, Budapest |
| 2008 | 2010 | Analyst Engineer, Green Ocean Energy, Aberdeen |
Fellowships, Awards, and Honors
| 2019-present | Young Scientist Fellowship of the IBS |
| 2011-2013 | Visiting Scientist, Max Planck Institute for the Physics of Complex Systems |
| 2004 | ERASMUS Studentship, Department of Engineering Mathematics, University of Bristol |
| 2003/2004 | Studentship (Köztársasági ösztöndíj) awarded by the Hungarian Ministry of Education and Culture for achievements in education and research. (A 0.8% of the undergraduate student population in Hungary may be awarded in each academic year for a period of 10 months.) |
Publications
Journal articles
27. Bódai, T. (2020) An Efficient Algorithm to Estimate the Potential Barrier Height from Noise-Induced Escape Time Data, Journal of Statistical Physics, http://doi.org/10.1007/s10955-020-02574-4
26. Haszpra, T., Herein, M., and Bódai, T. (2020) Investigating ENSO and its teleconnections under climate change in an ensemble view – a new perspective, Earth Syst. Dynam., 11, 267–280, https://doi.org/10.5194/esd-11-267-2020
25. Tamás Bódai, Valerio Lucarini, and Frank Lunkeit (2020) Can we use linear response theory to assess geoengineering strategies?, Chaos, 30(2), 023124. https://doi.org/10.1063/1.5122255
24. Bódai, T., G. Drótos, M. Herein, F. Lunkeit, and V. Lucarini (2020) The Forced Response of the El Niño–Southern Oscillation–Indian Monsoon Teleconnection in Ensembles of Earth System Models. J. Climate, 33, 2163–2182, https://doi.org/10.1175/JCLI-D-19-0341.1
23. Tél, T., Bódai, T., Drótos, G., Haszpra, T., Herein, M., Kaszás, B., Vincze, M. (2019) The Theory of Parallel Climate Realizations – A New Framework of Ensemble Methods in a Changing Climate: An Overview, Journal of Statistical Physics, http://doi.org/10.1007/s10955-019-02445-7
22. Guannan Hu, Tamás Bódai, and Valerio Lucarini (2019) Effects of stochastic parametrization on extreme value statistics, Chaos 29, 083102. https://doi.org/10.1063/1.5095756 (promoted as Editor’s Pick, as well as an AIP Scilight, https://aip.scitation.org/doi/10.1063/1.5122173)
21. Lucarini, V. and Bódai, T. (2019) Transitions across melancholia states in a climate model: Reconciling the deterministic and stochastic points of view, Physical Review Letters 122, 158701. (selected to be a PRL Editors’ Suggestion, around 1 in 6 letters receive such a highlight, and Featured in Physics, APS’s journal for synthesis pieces), https://doi.org/10.1103/PhysRevLett.122.158701
20. Bódai, T., Lucarini, V., and Lunkeit, F. (2018) Critical assessment of geoengineering strategies using response theory, Earth System Dynamics Discussions, https://doi.org/10.5194/esd-2018-3021
19. Bódai, T. and Franzke, C. (2017) Predictability of fat-tailed extremes, Physical Review E 96, 032120. (12 pages), https://doi.org/10.1103/PhysRevE.96.032120
18. Gálfi, V. M., Bódai, T., and Lucarini, V. (2017) Convergence of extreme value statistics in a two-layer quasi-geostrophic atmospheric model, Complexity vol. 2017, Article ID 5340858. (20 pages), https://doi.org/10.1155/2017/5340858
17. Drótos, G., Bódai, T., and Tél, T. (2017) On the importance of the convergence to climate attractors, Eur. Phys. J. Special Topics 226, 2031–2038 (invited article in a special issue dedicated to Prof Ulrike Feudel on the occasion of her 60th birthday), https://doi.org/10.1140/epjst/e2017-70045-7
16. Lucarini, V. and Bódai, T. (2017) Edge states in the climate system: Exploring global instabilities and critical transitions, Nonlinearity 30(7), R32-R66 (invited article by Bruno Eckhardt; open access; most downloaded article of all those published in Nonlinearity in 2017; selected for the journal’s 2017 Highlights Collection)
15. Drótos, G., Bódai, T., and Tél, T. (2016) Quantifying nonergodicity in nonautonomous dissipative dynamical systems: An application to climate change, Physical Review E 94, 022214. (16 pages), https://doi.org/10.1103/PhysRevE.94.022214
14. Bódai, T. (2015) Predictability of threshold exceedances in dynamical systems, Physica D 313, 37-50, https://doi.org/10.1016/j.physd.2015.08.007
13. Bódai, T. and Narakorn Srinil (2015) Performance analysis and optimization of a box-hull wave energy converter concept, Renewable Energy 81, 551-565, https://doi.org/10.1016/j.renene.2015.03.040
12. Drótos, G., Bódai, T., and Tél, T. (2015) Probabilistic concepts in a changing climate: A snapshot attractor picture, Journal of Climate 28, 3275-3288, https://doi.org/10.1175/JCLI-D-14-00459.1
11. Bódai, T., Lucarini, V., Lunkeit, F., and Boschi, R. (2014) Global instability in the Ghil-Sellers model, Climate Dynamics 44(11-12), 3361-3381, https://doi.org/10.1007/s00382-014-2206-5
10. Bódai, T., Altmann, E. G., and Endler, A. (2013) Stochastic perturbations in open chaotic systems: random versus noisy maps. Phys. Rev. E 87, 042902. (12 pages), https://doi.org/10.1103/PhysRevE.87.042902
9. Bódai, T., Károlyi, Gy., and Tél, T. (2013) Driving a conceptual model climate by different processes: Snapshot attractors and extreme events. Phys. Rev. E 87, 022822. (10 pages), http://doi.org/10.1103/PhysRevE.87.022822
8. Bódai, T. and Tél, T. (2011) Annual variability in a conceptual climate model: Snapshot attractors, hysteresis in extreme events, and climate sensitivity. Chaos 22, 023110. (11 pages) (article featured as a published multimedia highlight in the journal’s news letter), https://doi.org/10.1063/1.3697984
7. Bódai, T., Károlyi, Gy., and Tél, T. (2011) A chaotically driven model climate: Extreme events and snapshot attractors. Nonlinear Processes in Geophysics 18, 573–580. (open access), https://doi.org/10.5194/npg-18-573-2011
6. Bódai, T., Károlyi, Gy., and Tél, T. (2011) Fractal snapshot components in chaos induced by strong noise. Physical Review E 83, 046201. (9 pages), https://doi.org/10.1103/PhysRevE.83.046201
5. Bódai, T. and Wiercigroch, M. (2011) Acoustic ray stability for long range sound speed profile transition scenarios. International Journal of Bifurcation and Chaos 21(1), 177-194, https://doi.org/10.1142/S0218127411028350
4. Bibó, A., Károlyi, Gy., and Bódai, T. (2009) Fly-wheel model exhibits the hither and thither motion of a bouncing ball. International Journal of Non-Linear Mechanics 44(8), 905-912, https://doi.org/10.1016/j.ijnonlinmec.2009.06.006
3. Bódai, T., Fenwick, A. J., and Wiercigroch, M. (2009) New graphical techniques for studying acoustic ray stability. Journal of Sound and Vibration 324(3-5), 850-860, https://doi.org/10.1016/j.jsv.2009.01.049
2. Bódai, T., Fenwick, A. J., and Wiercigroch, M. (2009) Ray stability for background sound speed profiles with transition. International Journal of Bifurcation and Chaos 19(9), 2953-2964, http://doi.org/10.1142/S0218127409024578
1. Bódai, T., Fenwick, A. J., and Wiercigroch, M. (2008) Ray chaos in underwater acoustics and its application. International Journal of Bifurcation and Chaos 18(5), 1579-1587. (figure in colour selected for the front page graphics of the printed journal), https://doi.org/10.1142/S0218127408021191
Book chapter
Bódai, T. (2017) Extreme value analysis in dynamical systems: Two case studies. In: Nonlinear and Stochastic Climate Dynamics, Cambridge University Press, pp. 392—429.