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The sensitivity of cloud feedbacks to atmospheric model parameters isevaluated using a CAM6 perturbed parameter ensemble (PPE). The CAM6 PPEperturbs 45 parameters across 262 simulations, 206 of which are used here. Thespread in total cloud feedback and its six components across the CAM6 PPE arecomparable to the spread across the CMIP6 and AMIP ensembles, indicating thatparametric uncertainty mirrors structural uncertainty. However, the high-cloudaltitude feedback is generally larger in the CAM6 PPE than WCRP assessment,CMIP6, and AMIP values. We evaluate the influence of each of the 45 parameterson the total cloud feedback and each of the six cloud feedback components. Wealso explore whether the CAM6 PPE can be used to constrain the total cloudfeedback, with inconclusive results. Further, we find that despite the largeparametric sensitivity of cloud feedbacks in CAM6, a substantial increase incloud feedbacks from CAM5 to CAM6 is not a result of changes in parametervalues. Notably, the CAM6 PPE is run with a more recent version of CAM6(CAM6.3) than was used for AMIP (CAM6.0), and has a smaller total cloudfeedback (0.56 W m$^{-2}$ K$^{-1}$) as compared to CAM6.0 (0.81 W m$^{-2}$K$^{-1}$) owing primarily to reductions in low clouds over the tropics andmiddle latitudes. The work highlights the large sensitivity of cloud feedbacksto both parameter values and structural details in CAM6.

Perturbing parameters to understand cloud contributions to climate change