Dataset supporting 'Comment on "Muted Radiative Feedback of Stratospheric Water Vapor Found in a Multimodel Assessment" by He and Huang'

This dataset supports the manuscript entitled ‘Comment on “Muted Radiative Feedback of Stratospheric Water Vapor Found in a Multimodel Assessment” by He and Huang’, which is submitted to Journal of Geophysical Research – Atmospheres. The dataset includes variables that are used to generate Table 1 in the paper. There are eight python .npz files. Each file contains 150-year times series of global and annual mean changes in surface temperature (dtsurf, unit:K), top-of-atmosphere radiative forcing (dRFto, unit:Wm-2), stratospheric temperature feedback (Rtstr, unit:Wm-2), stratospheric water vapor feedback (Rqstr, unit:Wm-2), tropospheric temperature feedback (Rttro, unit:Wm-2), surface temperature feedback (Rtsurf, unit:Wm-2), tropospheric water vapor feedback (Rqtro, unit: Wm-2), albedo feedback (Ralb, unit:Wm-2), and cloud feedback (Rcld, unit:Wm-2). Files started with “ctrl” contain results of the standard 4xCO2 simulations and files started with “fswv” contain results of the stratospheric water vapor – locking 4xCO2 simulations. The feedback responses are computed with ClimKern python package (Janoski et al., 2025) using four radiative kernels, indicated by the last word of the file name.