The fact that all the models proved wrong means the guy that wrote that
didn't examine the evidence.

http://hockeyschtick.blogspot.com/search?q=models&max-results=20&by-date=true
The paper adds to hundreds of other peer-reviewed papers demonstrating the
abject failure of climate models.

http://onlinelibrary.wiley.com/doi/10.1002/grl.50562/abstract?systemMessage=Wiley+Online+Library+will+be+disrupted+on+18+May+from+10%3A00-12%3A00+BST+%2805%3A00-07%3A00+EDT%29+for+essential+maintenance

Climate change simulations are the output of enormously complicated models
containing resolved and parameterized physical processes ranging in scale
from microns to the size of the Earth itself. Given this complexity, the
application of subjective criteria in model development is inevitable. Here
we show one danger of the use of such criteria in the construction of these
simulations, namely the apparent emergence of a selection bias between
generations of these simulations. Earlier generation ensembles of model
simulations are shown to possess sufficient diversity to capture recent
observed shifts in both the mean surface air temperature as well as the
frequency of extreme monthly mean temperature events due to climate
warming. However, current generation ensembles of model simulations are
statistically inconsistent with these observed shifts, despite a marked
reduction in the spread among ensemble members that by itself suggests
convergence towards some common solution. This convergence indicates the
possibility of a selection bias based upon warming rate. It is hypothesized
that this bias is driven by the desire to more accurately capture the
observed recent acceleration of warming in the Arctic and corresponding
decline in Arctic sea ice. However, this convergence is difficult to
justify given the significant and widening discrepancy between the modeled
and observed warming rates outside of the Arctic.

.


On Fri, Sep 6, 2013 at 8:24 AM, Vivec <[email protected]> wrote:

>
> "Talk to someone who rejects the conclusions of climate science and you’ll
> likely hear some variation of the following: “That’s all based on models,
> and you can make a model say anything you want.” Often, they'll suggest the
> models don't even have a solid foundation of data to work with—garbage in,
> garbage out, as the old programming adage goes. But how many of us
> (anywhere on the opinion spectrum) really know enough about what goes into
> a climate model to judge what comes out?
>
> Climate models are used to generate projections showing the consequences of
> various courses of action, so they are relevant to discussions about public
> policy. Of course, being relevant to public policy also makes a thing
> vulnerable to the indiscriminate cannons on the foul battlefield of
> politics.
>
> Skepticism is certainly not an unreasonable response when first exposed to
> the concept of a climate model. But skepticism means examining the evidence
> before making up one’s mind. If anyone has scrutinized the workings of
> climate models, it’s climate scientists—and they are confident that, just
> as in other fields, their models are useful scientific tools."
>
>
> http://arstechnica.com/science/2013/09/why-trust-climate-models-its-a-matter-of-simple-sc
>
> 

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