Model output used in the manuscript "The evolution of a non-autonomous chaotic system under non-periodic forcing: a climate change example"
Authors/Creators
- 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 *.rar 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 E-forth ensemble generator (de Melo Viríssimo and Stainforth, in preparation), which is a MATLAB toolboox 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 Preprint "The evolution of a non-autonomouys chaotic system under non-periodic forcing: a climate change example". 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.
References:
- Van Veen et al. (2003): https://doi.org/10.1034/j.1600-0870.2001.00241.x
- Daron and Stainforth (2013): https://dx.doi.org/10.1088/1748-9326/8/3/034021
- de Melo Viríssimo and Stainforth (2023): https://doi.org/10.5194/egusphere-egu23-14755
- de Melo Viríssimo and Stainforth (2023): in preparation
Files
2023deMeloVirissimoStainforthPullbackAttractorsZenodoUpload.zip
Files
(139.5 MB)
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md5:11e6777215e48bfd95347293c36be6bb
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md5:014f6bee35e9b524630b249484e61278
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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