A Matrix Approach for Assessing the Non-Local Effects of Local Feedback Processes
Abstract:There are a variety of methods to assess the strength of individual feedback processes in numerical climate models. Generally these methods compute, in some form, the ratio of free- and fixed-feedback temperature anomalies when the model is subjected to forcing (e.g., by a doubling of CO2). However, these ratios (gains) are often sensitive to the overall shape of the applied forcing. For example, an ocean-atmosphere coupled model subjected to an equatorially amplified forcing will result in different gains and feedback factors (both global and local) than the same model subjected to a polar amplified forcing.
We discuss a new, more general method of feedback analysis that results in