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. <b>133</b>, 244201 (2024) DOI: https://doi.org/10.1103/PhysRevLett.133.244201
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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-figures Note the amended version (indicated by _corr at the end of the name) of Figure 1E and 1F (change in the unit of the z-axis, from K/year to K/day). Additional 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 (v.lucarini@leicester.ac.uk).



