This page quotes what the IPCC says about its own models - basically, in my opinion, these experts admit that the entire theory of Human Produced Global Warming is based on models that don't work.
Please, don't just read the few quotes I've included below - read the entire report. (I've only read parts of it.) It is painfully obvious that none of the models are very good ... and clouds are almost ignored.
7.2 Atmospheric Processes and Feedbacks
Determination of the new equilibrium is complicated by the fact that water vapour is itself a potent greenhouse gas
Atmospheric Processes are the foundation of
the "CO2 creates excessive Global Warming" theory ...
apparently, the whole theory is based on an assumption that
extra heat produces more water vapor which then traps even more heat.
The problem with that theory is that, if true, then the Earth should
overheat without needing to first add more CO2 to the atmosphere.
Thus, before you even consider the models, it should be obvious that the basic premise of this section is wrong.
7.2.1.1 Water vapour feedback
Attempts to directly confirm the water vapour feedback ... are difficult to interpret
... [but are]
consistent with a positive water vapour feedback, but it still cannot be taken as a direct test of the feedback
Note that this section considers water vapor only -
clouds and rain are considered separately in the next 2 sections.
7.2.2 Cloud Processes and Feedbacks
7.2.2.4 Cloud-radiative feedback processes
The sign of the cloud cover feedback is still a matter of uncertainty and
generally depends on other related cloud properties.
Cloud optical feedbacks produced by these
GCMs,
however, differ both in sign and strength.
In response to any climate perturbation the response of cloudiness thereby introduces feedbacks whose sign and amplitude are largely unknown.
7.2.2.5 Representation of cloud processes in models
In spite of these improvements, there has been no apparent narrowing of the uncertainty range associated with cloud feedbacks in current climate change simulations. A straight-forward approach of model validation is not sufficient to constrain the models efficiently and a more dedicated approach is needed.
Note - Section 7.2.2.5 has a graph showing which models consider clouds as positive or negative feedback mechanisms.
It is unbelievable that the most important feedback could make human produced Global Warming extremely serious or just a lot of nonsense - but they still can not determine even the sign of the feedback.
At least there is a consensus so that there is no longer a need for scientific inquiry.
7.2.3 Precipitation
7.2.3 Precipitation
These aspects have been explored only to a limited extent in climate models. No studies deal with true intensity of rainfall,
However, estimates of precipitation and surface long-wave radiation suggest that the sensitivity of
the hydrological cycle in climate models to changes in
SST
may be systematically too weak.
Accordingly, it is important that much more attention should be devoted to precipitation rates and frequency, and the physical processes which govern these quantities.
... the associated heating rates often dominate all other effects and strongly influence local and global circulations.
Incorporating the effect of cloud inhomogeneities in radiative algorithms may become a necessity
Evaluation of its importance is hampered by lack of knowledge of a physical mechanism responsible ...
7.2.4 Radiative Processes
Although this methodology is believed to have only a marginal impact on the accuracy of ... [the models],
the analysis of ... measurements ... has generated a concern that the radiative algorithms used in climate models could significantly underestimate the atmospheric shortwave absorption. ... [The very existence of this phenomena], however, remains controversial and is at odds with other investigations.
These quotes show that models and experimental results sometimes give very different results. In this case,
observations by only one group of researchers indicates that human produced Global Warming could be worse than predicted.
However, my point is that the observations are not universally accepted
and therefore are not adequate to develop a model.
It is interesting that cloud physics (inhomogeneities) is not in the existing models.
Positive and Negative Feedbacks
In feedback theory
In the case of Global Warming, positive feedbacks will make a little heating get even hotter and negative feedbacks tend to make temperature changes very difficult.
The same applies to cooling, with positive feedback a little cooling will cause more cooling until everything freezes. With negative feedback, again, temperature changes (in this case cooling) are very difficult.
One of the major problems with the IPCC report is that the models can not even agree on the sign (plus or minus) of the most powerful of all the feedback systems - humidity and clouds.
Comment
What I can't believe is that anyone would suggest a course of action based on a climate model that completely ignores clouds.
Apparently, Dr. Richard S. Lindzen, one of the contributors to chapter 7, agrees that the IPCC has misrepresented chapter 7.
More Questionable Models
What no one seems to realize is that, with few exceptions, everything that is "known" about the climate is actually based on models
However, the accuracy of these most basic models is never addressed.
Thus the IPCC hysteria report is based on models that are based on models - and I thought they claimed that the science was done. I guess that they did not read their own report.
Author: Robert Clemenzi