From: Roger Coppock on
The post below indicates a massive ignorance of climate modeling.

Those who wish to learn something about this interesting subject
could start here:

EdGCM.com


On Jan 7, 2:45 pm, "Eric Gisin" <er...(a)nospammail.net> wrote:
> Google "irreducible imprecision" shows this has been discussed for 3+ years.
>
> http://theresilientearth.com/?q=content/climate-models-irreducibly-im....
>
> Submitted by Doug L. Hoffman on Thu, 01/07/2010 - 15:50
>
> A number of recent papers analyzing the nature of climate models have yielded a stunning result
> little known outside of mathematical circles-climate models like the ones relied on by the IPCC
> contain "irreducible imprecision." According to one researcher, all interesting solutions for
> atmospheric and oceanic simulation (AOS) models are chaotic, hence almost certainly structurally
> unstable. Further more, this instability is an intrinsic mathematical property of the models which
> can not be eliminated. Analysis suggests that models should only be used to study processes and
> phenomena, not for precise comparisons with nature.
>
> The ability to predict the future state of the Earth climate system, given its present state and
> the forcings acting upon it, is the holly grail of climate science. What is not fully appreciated
> by most is that,in the prediction of the evolution of that system, we are severely limited by the
> fact that we do not know with arbitrary accuracy the evolution equations and the initial conditions
> of the system. By necessity climate models work with a finite number of equations, from initial
> data determined with finite resolution from a finite set of observations. These limitations are
> further exacerbated by the addition of structural instability due to finite mesh discretization
> errors (the real world isn't divided into boxes 10s or 100s of kilometers on a side; the impact of
> changing mesh size has been well documented in a number of recent studies).
>
> [rest at URL]