The models I have been exploring, dubbed solar supersensitivity, predict a lot of global temperature observations: the dynamics of recent and paleoclimate climate variations, the range of glacial/interglacial transitions, the recent warming coinciding with the Grand Solar Maximum, and the more recent flattening of warming.
They make sense of the statistical character of the global temperature time series as an ‘almost random walk’, the shift in phase between solar insolation and surface temperature, and the range of autoregressive structure of temperature series in the atmosphere. These are all dynamic phenomena.
Conventional global warming models, based in atmospheric radiative physics, explain static phenomena such as the magnitude of the greenhouse effect, and are used to estimate the equilibrium climate sensitivity. The climate models, however, have very large error bands around their dynamics, and describe shorter term dynamics as chaotic. Does this mean they are primarily theories of climate statics, and supersensitivity is concerned with dynamics?
No. I see no reason why the accumulation theory could not be reconciled with coupled ocean/atmosphere general circulation models, once the parameterisation of these models is corrected, particularly the gross exaggeration of ocean mixing. Similarly there is no reason a model based on the accumulation of solar anomaly could not recover equilibrium states.
The difference between AGW theory and solar supersensitivity (SS) might lie more in the mechanisms. SS treats the ocean as a conventional greenhouse — shortwave solar isolation is easily absorbed, but the release of heat by convection at the ocean/atmosphere boundary is suppressed, so gradually warming the interior. In contrast, conventional AGW theory is focused more on mechanisms in the atmosphere, the direct radiative effects of gasses and water vapor. It combines many theories, of CO2 cycling, water relations, meteorology.
If mechanisms differentiate the theories, then the issue is the relative balance of the two mechanisms. Which is more responsible for recent warming? Which is more responsible for paleoclimate variations?
From basic recurrence matrix theory, the system with the largest eigenvalue will dominate the long-term, ultimate dynamics of a system, suggesting the ocean-related low loss accumulative mechanisms would dominate the short time-scale, high loss, low sensitivity atmospheric mechanisms.
If this view is correct, then what we have is a completion of an incomplete theory that promises to increase understanding and improve prediction by collapsing the range of uncertainty in the current crop of climate models.