Articles | Volume 24, issue 3
https://doi.org/10.5194/npg-24-393-2017
https://doi.org/10.5194/npg-24-393-2017
Research article
 | 
31 Jul 2017
Research article |  | 31 Jul 2017

Detecting changes in forced climate attractors with Wasserstein distance

Yoann Robin, Pascal Yiou, and Philippe Naveau

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AR by Yoann Robin on behalf of the Authors (08 Jun 2017)  Author's response    Manuscript
ED: Publish as is (12 Jun 2017) by Vicente Perez-Munuzuri
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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.