My early research has aimed at better understand the nonlinear and chaotic dynamics of the climate system at the origin of its variability and of its sensitivity to perturbations by bridging the gap between the ergodic theory of dynamical and stochastic systems and the climate sciences.
Concerned by the critical need for effective climate change mitigation strategies, I now devote my research to better understanding the impact of multi-scale climate variability and climate change on energy mixes with high shares of variable renewable energies.
I develop methodologies and open-source modeling tools to evaluate the adequacy of future energy strategies and relate the variability of renewable energy production to economic costs and greenhouse gas emissions. I rely on the identification and analysis of climate patterns of variability to develop seasonal forecasts for renewable energy systems.
Convinced that interdisciplinarity is key to tackle ecologic issues I develop a number of collaborations with mathematicians, engineers, economists and social scientists.
Ruelle–Pollicott Resonances of Stochastic Systems in Reduced State Space. Part I : Theory
Chekroun, M.D., Tantet, A., Dijkstra, H.A., Neelin, J.D., 2020. J. Stat. Phys..
Ruelle-Pollicott Resonances of Stochastic Systems in Reduced State Space. Part II : Stochastic Hopf Bifurcation
Tantet, A., Chekroun, M.D., Dijkstra, H.A., Neelin, J.D., 2020. J. Stat. Phys..
Energy chapter of 1st Mediterranean Assessment Report
Contributing author, 2020, MedECC.
e4clim 1.0 : The Energy for a Climate Integrated Model : Description and Application to Italy
Tantet, A., Stéfanon, M., Drobinski, P., Badosa, J., Concettini S., Creti A., D’Ambrosio, C., Thomopulos, D., Tankov, P., 2019. Energies, 12, 4299.
Ruelle–Pollicott Resonances of Stochastic Systems in Reduced State Space. Part III : Application to the Cane–Zebiak Model of the El Niño–Southern Oscillation
Tantet, A., Chekroun, M.D., Neelin, J.D., Dijkstra, H.A., 2019. J. Stat. Phys..
Climate Data for Physical Risk Assessment in Finance
Tantet, A., Tankov, P., 2019. SSRN.
Crisis of the Chaotic Attractor of a Climate Model : A Transfer Operator Approach
Tantet, A., Lucarini, V., Lunkeit, F., Dijkstra, H.A., 2018. Nonlinearity, 31, 2221.
Resonances in a Chaotic Attractor Crisis of the Lorenz flow
Tantet, A., Lucarini, V., Dijkstra H. A., 2017. J. Stat. Phys., 177, 584–616.
A Numerical Framework to Understand Transitions in High-Dimensional Stochastic Dynamical Systems
Dijkstra, H. A., Tantet, A., et al, 2016. Dynamics and Statistics of the Climate System, 1, 1–27.
Lessons on Climate Sensitivity From Past Climate Changes
Von der Heydt, . . . Tantet, A., . . . Ziegler, M., 2016. Current Climate Change Reports, 148–158.
An early warning indicator for atmospheric blocking events using transfer operators
Tantet, A., van der Burgt, F. R., Dijkstra, H. A., 2015. Chaos, 25, 36406.
Par@Graph — a Parallel Toolbox for the Construction and Analysis of Large Complex Climate Networks
Ihshaish, H., Tantet, A., Dijkzeul, J. C. M., & Dijkstra, H. A., 2015. Geoscientific Model Development, 8, 3321–3331.
An interaction network perspective on the relation between patterns of SST variability and global mean surface temperature
Tantet, A., Dijkstra, H. A., 2014. Earth System Dynamics, 5, 1–14.
The Equatorial Undercurrent in the Central Atlantic and its Relation to Tropical Atlantic Variability
Brandt, P., Funk, A., Tantet, A., Johns, W. E., Fischer, J. J., 2014. Climate Dynamics, 43, 2985–2997.
Zonal Structure and Seasonal Variability of the Atlantic Equatorial Undercurrent
Johns, W. E., Brandt, P., Bourlès, B., Tantet, A., Papapostolou, A., Houk, A., 2014. Climate Dynamics, 43, 3047–3069.