WebHubTelescope: Chief is very upset that I have reduced his “irreducible complexity” to a simple stochastic behavior characterized by a single parameter — the mean value. You see, all that chaos and complexity that Chief keeps on harping about is just information entropy, and we can use all the techniques from information theory to help us understand the statistical physics. I showed how one can simplify the analysis in one case, and obviously it doesn’t sit well with him.
One of applied math’s grand challenges is to reduce complexity by applying innovative stochastic methods. I am applying some of these ideas to climate science and other areas, and evidently he doesn’t like my approach. The ultimate goal is to use the statistics at the aggregated macro-level to help solve problems and deal with uncertainty without having to rely on simulations at the micro-level. That was the heritage of the physics disciple known as statistical mechanics.
One of the goals in the modeling is to understand the role of CO2 in the single realization of the process over the last 150 years. The other goal is to predict the value of this single realization (the multidimensional value) over the next 50 to 100 years. Your modeling to date does not advance us toward achieving either goal. At best it might aid us to earlier detection of changes as they occur.