Articles | Volume 24, issue 3
Nonlin. Processes Geophys., 24, 393–405, 2017
Nonlin. Processes Geophys., 24, 393–405, 2017
Research article
31 Jul 2017
Research article | 31 Jul 2017

Detecting changes in forced climate attractors with Wasserstein distance

Yoann Robin et al.

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Cited articles

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Bazaraa, M. S., Jarvis, J. J., and Sherali, H. D.: Linear Programming and Network Flows, John Wiley & Sons, 4 Edn., 2009.
Benamou, J.-D. and Brenier, Y.: The Optimal Time-Continuous Mass Transport Problem and its Augmented Lagrangian Numerical Resolution, Research Report RR-3356, INRIA, available at: (last access: 20 July 2017), 1998.
Boyd, S. and Vandenberghe, L.: Convex Optimization, Cambridge University Press, 2004.
Cassou, C. and Cattiaux, J.: Disruption of the European climate seasonal clock in a warming world, Nature Climate Change, 6, 589–594,, 2016.
Short summary
If climate is viewed as a chaotic dynamical system, its trajectories yield on an object called an attractor. Being perturbed by an external forcing, this attractor could be modified. With Wasserstein distance, we estimate on a derived Lorenz model the impact of a forcing similar to climate change. Our approach appears to work with small data sizes. We have obtained a methodology quantifying the deformation of well-known attractors, coherent with the size of data available.