Articles | Volume 24, issue 3
https://doi.org/10.5194/npg-24-393-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-24-393-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Detecting changes in forced climate attractors with Wasserstein distance
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212 CEA-CNRS-UVSQ, Institut Pierre-Simon Laplace & Université Paris-Saclay,
91191 Gif-sur-Yvette Cedex, France
Pascal Yiou
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212 CEA-CNRS-UVSQ, Institut Pierre-Simon Laplace & Université Paris-Saclay,
91191 Gif-sur-Yvette Cedex, France
Philippe Naveau
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212 CEA-CNRS-UVSQ, Institut Pierre-Simon Laplace & Université Paris-Saclay,
91191 Gif-sur-Yvette Cedex, France
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20 citations as recorded by crossref.
- Forecast score distributions with imperfect observations J. Bessac & P. Naveau 10.5194/ascmo-7-53-2021
- A data-driven approach to model calibration for nonlinear dynamical systems C. Greve et al. 10.1063/1.5085780
- Climate Modeling in Low Precision: Effects of Both Deterministic and Stochastic Rounding E. Paxton et al. 10.1175/JCLI-D-21-0343.1
- The Summertime Pacific‐North American Weather Regimes and Their Predictability E. Nabizadeh et al. 10.1029/2022GL099401
- Probability Distributions for Analog-To-Target Distances P. Platzer et al. 10.1175/JAS-D-20-0382.1
- Optimal Transport for Parameter Identification of Chaotic Dynamics via Invariant Measures Y. Yang et al. 10.1137/21M1421337
- Time Adaptive Optimal Transport: A Framework of Time Series Similarity Measure Z. Zhang et al. 10.1109/ACCESS.2020.3016529
- Evaluating the Performance of Climate Models Based on Wasserstein Distance G. Vissio et al. 10.1029/2020GL089385
- Multimodel Errors and Emergence Times in Climate Attribution Studies P. Naveau & S. Thao 10.1175/JCLI-D-21-0332.1
- Dynamical Properties of the North Atlantic Atmospheric Circulation in the Past 150 Years in CMIP5 Models and the 20CRv2c Reanalysis D. Rodrigues et al. 10.1175/JCLI-D-17-0176.1
- Quantifying climate model representation of the wintertime Euro-Atlantic circulation using geopotential-jet regimes J. Dorrington et al. 10.5194/wcd-3-505-2022
- The physics of climate variability and climate change M. Ghil & V. Lucarini 10.1103/RevModPhys.92.035002
- Evaluating a stochastic parametrization for a fast–slow system using the Wasserstein distance G. Vissio & V. Lucarini 10.5194/npg-25-413-2018
- Ubiquity of human-induced changes in climate variability K. Rodgers et al. 10.5194/esd-12-1393-2021
- A Century of Nonlinearity in the Geosciences M. Ghil 10.1029/2019EA000599
- Satellite Image Time Series Clustering via Time Adaptive Optimal Transport Z. Zhang et al. 10.3390/rs13193993
- Rough basin boundaries in high dimension: Can we classify them experimentally? T. Bódai & V. Lucarini 10.1063/5.0002577
- Asymptotic behavior of the forecast–assimilation process with unstable dynamics D. Crisan & M. Ghil 10.1063/5.0105590
- Multivariate stochastic bias corrections with optimal transport Y. Robin et al. 10.5194/hess-23-773-2019
- Projected Changes in the Atmospheric Dynamics of Climate Extremes in France P. Yiou et al. 10.3390/atmos12111440
Latest update: 20 Nov 2024
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.
If climate is viewed as a chaotic dynamical system, its trajectories yield on an object called...