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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.
Version (v1.1) is the same version as v1.0 but with the correct README file.
non-autonomous systems, climate change, climate prediction, chaotic dynamical systems, climate modelling, pullback attractor
non-autonomous systems, climate change, climate prediction, chaotic dynamical systems, climate modelling, pullback attractor
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