http://www.ecd.bnl.gov/pubs/BNL-81482-2008-JA.pdf
"...A few points are noteworthy. First, the quantities of the Earth’s radiation entropy fluxes from this study depend upon some assumptions such as a gray body Earth for calculating the Earth’s outgoing LW radiation entropy flux and a diluted blackbody Earth with Lambertian reflection of incident solar radiation for calculating the Earth’s reflected SW radiation entropy flux. Although the expressions developed in this study represent a useful extension from a blackbody Earth assumption, the Earth system is clearly neither a gray body
nor a diluted blackbody because the radiation property of the Earth’s system as a whole is not isotropic and frequencyindependent. A more accurate calculation can be conducted by directly integrating Planck’s spectral expression (8) if all the necessary parameters can be obtained, e.g., from satellite measurements such as Earth Radiation Budget Experiment (ERBE) or Clouds and the Earth’s Radiant Energy System (CERES). Second, this study treats the Earth system as a whole, without considering the spatial distribution of the entropy flux within the Earth system..."
If the study's modellings turn out to better reflect the findings from whole earth satellite surveys then the minor adjustments needed to bring modern GCMs will be made and we will have better more accurate models and predictions from them. The authors clearly do not see their work as anything that radically overturns AGW or any major mainstream climate science, but rather as a refinement meant to further climate understandings and to help assist in the both struggle to address climate change and to help design more efficient alternative energy (solar) power processes
"...This paper has
clearly demonstrated the critical role of the radiation entropy
flux in quantifying the overall entropy production rate of the
Earth system and thus in determining the Earth’s climate. To
some extent, the Earth system can be regarded as a huge “heat
engine,” and the ultimate climate is closely related to its
efficiency in converting solar radiation energy into work.
Close interactions between the two communities are obviously
mutually beneficial. The necessity for such interdisciplinary
interactions in the context of studying radiation
entropy is further reinforced by the concurrent twofold
challenges in battling climate change: to understand/predict
global climate (change) and to develop clean renewable
energy to reduce emissions of greenhouse gases. In conclusion,
we would like to call for such much needed interactions."
"...Conclusion
Some may argue that long-term forecasts are useless because they cannot be properly evaluated and little can be learnt from a prediction without verification. Indeed, the climate change problem is peculiar in that the past offers no direct well-observed analogy to learn from. Yet I argue that, despite the caveats noted above, climate model projections provide valuable information. The model’s ability to reproduce the current climate, the recent observed trends as well as the more distant past, the fact that they are based on physical principles, and the fact that we can understand and interpret many of the results from known processes provide support for the model’s credibility, at least for large scales and certain variables. The value of projections is increased where multiple models are available, in that they indicate which changes are more certain than others. Some scenarios and changes in the climate system are inherently better constrained (e.g. short-term warming trends relate more linearly to observed trends than equilibrium warming), and multiple models and hierarchies of models can help to flag the areas where results depend strongly on model assumptions. Models can also help to infer how much more we may know in a few years by treating one model as reality and predicting it with the other models. Is it more effective to wait for better information or to act earlier? What policy options would we lose by waiting 5 or 10 years? (...)
On a different level, there is the issue of communicating results. There is a
delicate balance between giving the most detailed information possible to guide policy versus communicating only what is known with high confidence. In the former case, all results are used, but there is a risk of the science losing its credibility if the forecasts made a few years later are entirely different or if a forecast made a few years earlier is not verified. The other option is to communicate only what we are confident about. But being conservative (i.e. not being wrong by not saying anything) may be dangerous in this context; once we are sure about certain threats, it may be too late to act.(...)
Finally, as a thought experiment, let us assume that we had a perfect model to make a prediction with no uncertainty. Would the world be any different? Would we more effectively fight the climate change problem? Accurate information on the expected trends is critical for local adaptation, and uncertainties in climate model projections are admittedly an issue. But they are unlikely to be the limiting factor that prevents us from making a decision and acting on, rather than talking about, the climate change problem."
Now these aren't copy and pastes from pseudoscience political blogs, merely the actual words from the sources you referenced in an attempt to distort and misrepresent climate science and AGW specifically, not surprisingly the authors of these papers come to diametrically different conclusions based upon their own work and understandings of the science they present than you imply from your perspective of their work,...curious that.