Data supporting the results published in V. Lucarini and M. D. Chekroun, Detecting and Attributing Change in Climate and Complex Systems: Foundations, Green's Functions, and Nonlinear Fingerprints, Phys. Rev. Lett. (2024), arXiv:2212.02628.

MATLAB source files for the published figures. They contain all the data in extractable and readable form. See https://uk.mathworks.com/matlabcentral/answers/100687-how-do-i-extract-data-from-matlab-figuresAdditional data are included for the PLASIM model runs. We include data from 1 of the 40 simulations with instantaneous CO2 increase. These are used for computing the Green's functions for the surface temperature field. We also include data from 1 of the 40 simulations with 1% annual increase of CO2 up to doubling used for performing the fingerprinting exercise. The theory is detailed in the text. Further details and data (storage constraints on figshare makes it impossible to upload the data from the 80 simulations) are available from the corresponding author Valerio Lucarini ([e-mail]).

本数据集包含用于生成已发表图表的MATLAB源文件，所有数据均以可提取、易读取的形式存储。如需了解如何从MATLAB图表中提取数据，可参考链接：https://uk.mathworks.com/matlabcentral/answers/100687-how-do-i-extract-data-from-matlab-figures。此外，本数据集还收录了PLASIM模式（PLASIM model）的运行数据：我们从40组瞬时CO₂增量模拟实验中选取1组数据，用于计算地表温度场的格林函数（Green's function）；同时从40组以1%年增速提升CO₂直至浓度翻倍的模拟实验中选取1组数据，用于开展指纹识别分析。相关理论已在正文中详细阐述。受限于Figshare平台的存储限制，无法上传全部80组模拟实验的原始数据，更多详细信息与数据集可联系通讯作者Valerio Lucarini获取，联系邮箱为[e-mail]。