You have come up with lots of speculative hypotheses and that is fine. But, now you still have the hard work ahead of you, which is to flesh them out, do some real calculations, and publish them in the peer-reviewed journal. In the meantime, I don’t think it is realistic for you to expect the scientific community to abandon their theories just because you can throw out some speculative hypotheses.
And, by the way, I am pretty confused about the way you think about these. For example, I don’t understand on a basic level why you think that certain perturbations to the system like continent location and some things that might affect cloud formation or wind speed (that you don’t really flesh out) would have an effect on the temperatures but changes in GHG concentrations won’t.
Okay, here at least you come up with an argument for my last complaint above, but alas you fail quite badly. And, to be honest, I think the fact that you still cling to this view shows how deeply ingrained your biases are. What you are repeating here is the argument that you used at Briggs website to claim why the models predict amplification of temperature trends in the tropical atmosphere. This is an extremely simplistic picture that you have regarding how the GHGs work. I have some doubts about whether you have even done the radiation balance correctly, but at any rate, you have ignored all other mechanisms of heat transfer in the atmosphere. It is strange that you cling to this simplistic picture while at the same time attacking the moist adiabatic lapse rate picture by noting the ways in which it is a simplification.
And, in fact the moist adiabatic lapse rate picture has strong advantages over your picture. One is that the models clearly predict that the amplification occurs for fluctuations on a range of timescales, which implies that in the models this amplification is not due to the nature of what is causing the warming. And, actually runs of the models with greenhouse gas forcing and solar forcing show basically the same amplification in both cases (see the first figure here). (The one notable difference is the stratosphere, where the models predict cooling for the GHGs case and warming for the solar case…and indeed the observational evidence is that there is cooling occurring although part of this is admittedly due to ozone depletion.)
The second advantage is that the moist adiabatic lapse rate picture actually has strong experimental support, as is shown in the Santer et al. paper, by looking at fluctuations on the monthly to yearly timescale!
So, you have hinged your entire argument on observational data that is known to have severe problems…and, which doesn’t entirely support the lack of amplification anyway. You basically have to discount the RSS satellite analysis and the latest attempts to correct the balloon data [RAOBCORE1.4] and go back to an earlier version RAOBCORE1.2. Sure, Douglass et al. have come up with some arguments why they don’t believe the latest RAOBCORE version and Spencer and Christy have their reasons for doubting the RSS analysis, but it is kind of hairy when your claim of inconsistency with observational data depends on carefully choosing which data sets you look at.
And, furthermore, your argument is wrong anyway, since you have wrongly attributed the tropical amplification claim to a claim specific to the greenhouse gas mechanism of warming when, in fact, the model predictions, backed by the experimental observations on monthly to yearly timescales clearly demonstrate that it is not!
And, with all these problems with your own analysis, you seriously expect us to believe that you are right and almost the entire climate science community is wrong!?! So, even if the discrepancy between the models and observational data on decadal timescales is really due to problems with the models, it would not have anything to say in regards to the mechanism causing the warming.