Feedback Is By Definition Iterative

If you can’t accurately model the climate next month, then you certainly can’t model it for next year. If you can’t model it next year, you certainly can’t model it for 50 years.

The whole point of climate models is to run them iteratively in order to compound feedbacks – which means that errors increase exponentially. People claiming that errors average out have no idea what they are talking about.

If you drive faster and faster in the wrong direction, you get further and further away from your destination.

About Tony Heller

Just having fun
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22 Responses to Feedback Is By Definition Iterative

  1. Mike Davis says:

    Feedbacks become forcing for other conditions.
    The effect of one cause becomes the cause for a different effect and it eventually comes full circle. Maybe! Random chance probably rules a return to exact state but approximate similar conditions are achieved.
    The Dust Bowl is an example as one day in the future a very similar condition will occur again.It is natural long term regional weather patterns. One day the New York region will again experience a major hurricane land fall.
    More research needs to be done on natural climate factors before any meaning full predictions can be made. They have come a long way from the 60s but it is only a small step towards the goal!

  2. Peer reviewed paper:

    “On the credibility of climate predictions”

    …results show that models perform poorly, even at a climatic (30-year) scale. Thus local model projections cannot be credible, whereas a common argument that models can perform better at larger spatial scales is unsupported.

    http://www.scribd.com/doc/4364173/On-the-credibility-of-climate-predictions

  3. Royal Meteorological Society peer reviewed

    “A comparison of tropical temperature trends with model predictions”

    ABSTRACT:….Model results and observed temperature trends are in disagreement in most of the tropical troposphere, being separated by more than twice the uncertainty of the model mean. In layers near 5 km, the modelled trend is 100 to 300% higher than observed, and, above 8 km, modelled and observed trends have opposite signs. These conclusions contrast strongly with those of recent publications based on essentially the same data. Copyright?2007 Royal Meteorological Society

    http://www.scribd.com/doc/904914/A-comparison-of-tropical-temperature-trends-with-model-predictions#

  4. Feedback Is By Definition Iterative

    Definitions do not apply in manmade global warming. Global warming is happening. Man is the cause.

    ;O)

  5. Scott says:

    To be fair, I’d argue that only the systematic errors will propagate out exponentially. Random errors should largely cancel out over time, although because the system is exponential in nature the early errors may have a slight advantage over later random errors.

    Anyway, this topic is one I’d thought about recently. If we’re at the very low end of the IPCC prediction 3 years after its release, doesn’t that preclude (or at least dramatically lower) the possibility of us reaching +6 C by the end of the century? For example, if the same models were run from this day forward to 2100, wouldn’t the upper limit now be something like 5.7 C? Any thoughts on that?

    -Scott

    • Mike Davis says:

      Scott:
      They threw out the model runs showing lower results as being unrealistic. They are now claiming the high end estimate was to low. The estimated energy is hiding in the system and growing stronger. When it emerges from its hiding place it will overcome all attempts to control it and it will consume all the major urban centers as the polar ice will melt overnight and the entire globe will experience the Mother of all flash floods. Build your Ark now and place it at 1500 ft elevation because that is where the future sea side docks will be!

  6. Lazarus says:

    “If you can’t accurately model the climate next month, then you certainly can’t model it for next year. If you can’t model it next year, you certainly can’t model it for 50 years.”

    What you have basically said is that if I can’t accurately predict the temperature next month, I can’t accurately predict that next winter will be colder than the summer.

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