Ocean Melancholia
Exploring the edge of multistable ocean currents
My research interests lie at the intersection of complex systems, statistical physics and earth system science. Currently, I'm a PhD student in applied mathematics at the University of Reading in England. Supervised by Professor Valerio Lucarini, my project is part of the European training network CriticalEarth, which seeks to advance our understanding of climate tipping points.
The climate crisis affects us all, and climate science evolves continuously. With this website I hope to make my research more accessible, especially also for non-scientists. Thanks for being here!
Reyk Börner, Ryan Deeley, Raphael Römer, Tobias Grafke, Valerio Lucarini & Ulrike Feudel
arXiv preprint arXiv:2311.10231 (2024, accepted by Phys. Rev. Research)
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Oliver Mehling, Reyk Börner & Valerio Lucarini
Physica D: Nonlinear Phenomena, 459, 134043 (2024)
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Reyk Börner, Paul Schultz, Benjamin Ünzelmann, Deli Wang, Frank Hellmann & Jürgen Kurths
Physical Review Research 2, 023409 (2020)
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Yvan Romé, Ruza Ivanovic, Lauren Gregoire, Didier Swingedouw, Sam Sherriff-Tadano & Reyk Börner
Preprint (2024)
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Reyk Börner, Jan O. Haerter & Romain Fiévet
arXiv preprint arXiv:2205.07933 (2024)
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See also on Google Scholar.
A Julia package offering a toolbox for noise- and rate-induced transitions in dynamical systems. Based on DynamicalSystems.jl and DifferentialEquations.jl.
Implementation of the edge tracking algorithm to find so-called edge states or Melancholia states (chaotic saddles) in multistable dynamical systems.
Python implementation of three models of diurnal sea surface warming: the DiuSST model, the Zeng-Beljaars model, and a simple slab ocean model.
See also on Github.
I had the exciting opportunity to deliver the 2024 Fairbrother Lecture at the University of Reading, a public lecture given by a PhD student each year.
... climate predictability: Watch my 3-minute thesis pitch presented at the finals of the MSCA Falling Walls Lab 2022 competition.