Hi Dr. D--As the article about the paper notes, this idea was explored about
40-50 years ago. It turned out then that there was a real problem in closing
the set of equations---that is, in figuring out a way to write an equation
for, for example, the statistical deviation of a flow, etc.

Even assuming that the authors are successful in closing the set of
equations, it seems to me they are too late. The interest is no longer in
how the overall climate will change (that is the broad statistics they would
be generating), but in the details of the changes in the kinds of weather
that are likely. Basically, we live the changes in the weather‹the changes
in climate just give changes in the long-term average and, while they
determine some types of impacts, the real key is in how the weather is
changing (that is, the typical sequencing of the weather, etc.). So, a
general finding that summertime precipitation in the northeastern US is
going to increase is really not very useful information‹did it all occur in
one storm, how is it spread over the season, how much did evaporation go up,
and lots more?

So, overall, might well be interesting for doing climate change studies over
millions of year period, etc., but for projecting 21st century climate
change, my sense is that we really want to be able to see what the details
will look like (even though, to date, we have been doing too little analysis
of all of this).

Mike M


On 3/5/13 10:20 PM, "Dr D" <[email protected]> wrote:

> I am curious what climate modelers think of the following paper.... Basically,
> the authors want to simulate climate forcers rather than every single area in
> a climate model.... Climate scientists might have missed this paper as it was
> published in a physics journal....
> 
> Summary for the public:
> http://www.sciencedaily.com/releases/2013/03/130305145807.htm
> 
> Ref: S. M. Tobias, J. B. Marston. Direct Statistical Simulation of
> Out-of-Equilibrium Jets. Physical Review Letters,

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