Hi Jim--I think you need to be careful in applying the Lorenz butterfly
effect to climate--the equations are for the weather and how it varies
within a system that is bounded by external conditions.

For climate, so the average of the weather when there are a particular set
of external boundary conditions. Now, the climate can certainly have some
path dependent phenomena--so hysteresis of various types (e.g., Greenland
ice sheet, carbon cycle given the various ways it gets stored and released,
etc.), but I just don't think that it is random in the sense that Lorenz was
portraying the situation for the weather.

Certainly there is some variability given a certain set of external boundary
conditions and so it can seem that the climate sensitivity varies somewhat,
and it is certainly possible that one can get to points where there may be a
jump between different possibilities created by hysteresis (like we can
reach a warmth were Greenland ice sheet melts away, and this might happen
pretty rapidly), but I would not call this a random sort of event in the
butterfly sense.

As to the paleoclimatic jumps, it may well be that there are causal
mechanisms for those--bursting of ice dams and outflow of freshwater, etc.
Again, that does not really seem random to me, but a process that can have
jumps--and it may be hard to predict precisely, but is it really a butterfly
event, etc. It seems to me were the Earth system's climate, we'd have not
had so many millions of years between major glacial periods, we'd not have
had the stable Holocene, we'd not be finding the Milankovitch cycles, etc.

Best, Mike MacCracken

On 2/26/12 1:16 PM, "Jim Fleming" <[email protected]> wrote:

> Before you go too far down the path of CO2-climate sensitivity, please
> consider the work of Ed Lorenz who was interested in models that
> emulate sudden jumps from one equilibrium state to another, in
> patterns similar to the paleo-climatic record.
> 
> In his paper "Climate is what you expect," Lorenz wrote:
> A climatologist encountering [fluctuations in real data] could not, on
> the basis of the data alone, say whether the dominant cause of the
> changes was external or internal.
> 
> Elsewhere (climate of the model), for climate variations over a 100-
> year interval, as given by a simple one equation model designed to
> support internally produced climatic changes:
> 
> "Two or more distinct climates may well be compatible with the same
> external conditions."
> 
>  Finally:
> "If the climate system is treated as a dynamical system--a system
> whose evolution is governed by precise laws, or, more frequently, by
> equations that represent such laws, the climate then becomes
> identifiable with the attractor of the dynamical system‹but the
> dynamical system may have more than one attractor!"
> 
> Can we rely on single variable linear or logarithmic (non-chaotic)
> forcing to predict the future state of the climate system?
> 
> Jim


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