遇见数据集

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

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Zenodo2025-06-05 更新2026-05-26 收录
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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.

本*.zip压缩包包含洛伦兹84-斯托梅尔61(Lorenz 84-Stommel 61)模型的集合模拟结果(Van Veen等,2001;Daron与Stainforth,2013)。本次模拟实验采用Low-EFFourth集合生成器(de Melo Viríssimo,2025a;de Melo Viríssimo,2025b),该工具为基于MATLAB的开发框架,可系统化地运行并研究低维动力系统的大规模集合模拟(de Melo Viríssimo与Stainforth,2023)。 本数据集的模型输出已在论文《非周期强迫下非自治混沌系统的演化:一个气候变化实例》(发表于期刊《混沌》(Chaos),de Melo Viríssimo等,2024)中进行展示与探讨。该手稿详述了本次实验的开展情况、所用参数取值,以及针对原始L84-S61模型所做的修改。就此研究内容,我们亦推荐您参阅Daron与Stainforth(2013)的相关成果。 本次上传的所有文件均由作者通过模拟实验生成。 如需了解各上传文件的详细信息,请参阅README文件。如有任何疑问,欢迎随时联系。 注:本版本(v1.1)与v1.0版本内容完全一致,仅修正了README文件。

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Zenodo
创建时间:
2023-09-21
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