All trend analyses are based
on backcasting this year's EPI methods on historical data.
It is the trends that are being compared, and moreover trends
in backcasts using common forcing inputs, so use of ensemble means is certainly appropriate.
This results of
such backcasting has not been reported by the IPCC either because it was not done, or more likely, because the results showed the models to be so poor that showing the results would destroy any credibility for the projection models.
Once you consider that using a reasonable time frame, say 100 years or so, so maybe 2100, you must then
backcast from there, not forecast from here.
But it is not a hard science and the models have not been validated
by backcasting so the IPCC is stuck with a whole herd of projections.
The ones that ventured to provide validation by carrying out
backcasts failed miserably.
These are known
as backcasts (probably more properly linguistically they should be called hindcasts).
Is it possible that the ever -
rising backcast is an artifact of a cumulative error?
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I've already written how techniques
like backcasting can help connect vision with reality, and I think they have a wider lesson to teach — namely that bold, courageous plans are needed for the medium - to long - term, but equally those visions will not be achieved overnight.
The surprising thing is is that it didn't miss any
on backcast.
Dr. Hussman is the one who argues that the 80s are unique, but that is a large part of the data that he uses to estimate
his backcast.
However in the first decade which GISS forecasts, rather than
backcasts, this opposite trend in signals emerges.
I just give you data that shows, on
the backcast, the models, surprisingly, hit all the decadal trends since 1950 in a signal it was supposedly not tuned to match.
Now, I am not saying this couldn't be coincidental but it adds weight to my point that the model should not be so accurate on
the backcast.
Does this suggest excessive tuning in
the backcast well its some evidence for it.
The one
backcasting I have seen for total release is:
Doc, I appreciate what you suggest, but if the model contains quantities that must be estimated from the data prior to day zero, those quantities will contain sampling error, and for that reason alone the forecast error distribution after day zero (out - of - sample fit) must have a higher expected variance than
the backcast error distribution before day zero (in - sample fit).
And the overwhelming question concerning the validation of the climate projection models used by the IPCC is why are there no results of using the models to
backcast the current data to hundred or a hundred and fifty years ago and comparing those backcasts with the actual data of those times?
These backcast made considerable use of current past data to reproduce some approximation of the past temperature time series.
Here is the comparison of
the backcasts of global temperature from the Canadian model in comparison with the observations.
This indicates that the measure of performance should be some average error over
the backcasting period.
The correspondence of
the backcast with the actual temperature for the Canadian model is displayed below.
Instead of a forecast they would give
a backcast of the climate characteristics of the past.
Patrick J. Michaels in his book, Meltdown, gives
the backcasting of two climate models from about 1993 back to 1905.
Such
backcasting is generally not done or if it is done it is not released to the public.
The ultimate test of validity of a climate model is empirical; i.e., does it pass
the backcasting test?
However looking at the graph the two curves cross at six points and it appears to be just a coincidence that one of the crossings was close to the end of
the backcasting interval.
They are not
the backcast analogous to the future projection which would be driven by carbon dioxide concentration.
Nevertheless
the backcast change in temperature was 96 percent higher than the observational change of the eighty eight year period.
A few performed some version of
the backcasting test and they were found to be invalidated.
Please link us the paper that reports the model that forecasted the pause or can
backcast the pause.