Published September 21, 2023 | Version v1.1
Dataset Open

Model output used in the manuscript "The evolution of a non-autonomous chaotic system under non-periodic forcing: a climate change example"

  • 1. Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science
  • 2. School of Mathematical Physical and Computational Sciences, University of Reading

Description

This *.zip file contains the model output from ensemble simulations for the Lorenz 84-Stommel 61 model (Van Veen et al, 2001; Daron and Stainforth, 2013). To run these simulations, we used the Low-EFFourth ensemble generator (de Melo Viríssimo, 2025a; de Melo Viríssimo, 2025b), which is a MATLAB-based framework that allows for large ensembles of low-dimensional dynamical systems to be run and studied in a systematic way (de Melo Viríssimo and Stainforth, 2023).

These model outputs are presented and discussed in the article "The evolution of a non-autonomouys chaotic system under non-periodic forcing: a climate change example", published by Chaos (de Melo Viríssimo et al., 2024). The manuscript describes the experiments performed, the parameter values used and the modifications done to the original L84-S61 model. For this matter, we also refer you to Daron and Stainforth (2013).

All files uploaded were generated from simulations run by the authors.

For specific information about each file uploaded, please refer to the README file. If you have any questions, please feel free to contact me.

Note: This version (v1.1) is the same version as v1.0 but with the correct README file.

Notes

Version (v1.1) is the same version as v1.0 but with the correct README file.

Files

README.txt

Files (139.5 MB)

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md5:11e6777215e48bfd95347293c36be6bb
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Additional details

Funding

UK Research and Innovation
Optimising the Design of Ensembles to Support Science and Society (ODESSS) NE/V011790/1

References

  • L. V. Veen, T. Opsteegh, F. Verhulst (2001), Active and passive ocean regimes in a low-order climate model. Tellus A: Dyn. Meteorol. Oceanogr. 53: 599–615. https://doi.org/10.3402/tellusa.v53i5.12229
  • J. D. Daron, D. A. Stainforth (2013), On predicting climate under climate change. Environ. Res. Lett. 8: 034021. https://doi.org/10.1088/1748-9326/8/3/034021
  • F. de Melo Viríssimo, D. Stainforth (2023), A low-dimensional dynamical systems approach to climate ensemble design and interpretation. EGU General Assembly 2023, EGU23-14755, https://doi.org/10.5194/egusphere-egu23-14755
  • F. de Melo Viríssimo, D. A. Stainforth, J. Bröcker (2024), The evolution of a non-autonomous chaotic system under non-periodic forcing: A climate change example. Chaos, 34 (1): 013136. https://doi.org/10.1063/5.0180870
  • F. de Melo Viríssimo (2025), Low-EFFourth: A computational framework for generating and studying multilevel model ensembles in low-dimensional systems. arXiv:2506.03313. https://doi.org/10.48550/arXiv.2506.03313
  • F. de Melo Viríssimo (2025), Low-EFFourth: A computational framework for generating and studying multilevel model ensembles in low-dimensional systems. (v0.0). Zenodo. https://doi.org/10.5281/zenodo.15566109