This repository contains the code (in Jupyter Notebooks) and some data used to generate the figures in Ford et al. (2025).

There are four notebooks:

• kernel-feedback-analysis, which performs a feedback analysis using radiative kernels that is used in the feedback-figures notebook
• nonfeedback-figures, which generates Figs. 1–4 and 7–10
• feedback-figures, which generates Figs. 5 and 6
• appendix-figures, which generates Figs. A1–A4

The CESM output used in these notebooks is remotely accessed through a Jetstream2 object store. The hfds (OHU) datasets are included in this repository in the hfds_TCR_diff_1x1 folder. The CAM5 kernels (Pendergrass 2018) used in the feedback analysis are not included here and should be downloaded from in order to run kernel-feedback-analysis locally. (Note: it is not necessary to rerun the feedback analysis in order to run the feedback-figures notebook, since a dataset with the feedback values is included in the Jetstream2 object store).

Ford, R. R., B. E. J. Rose, and M. C. Rencurrel, 2025: Transient Climate Sensitivity Shaped by Low Cloud Changes Remotely Driven by Southern Ocean Processes. Journal of Climate, 38, 797–813, https://doi.org/10.1175/JCLI-D-24-0164.1.

Pendergrass, A. G., A. Conley, and F. M. Vitt, 2018: Surface and top-of-atmosphere radiative feedback kernels for CESM-CAM5. Earth System Science Data, 10, 317–324, https://doi.org/10.5194/essd-10-317-2018.