How climate science models are validated

Mathematical and computer models are wonderful tools. Once they can be validated they are powerful methods of interpolation. They are useful methods of improving the understanding embodied in the models by extrapolation. The divergence between extrapolated model results and real data can then be used for improving the models to better account for real data. If model results do not fit real data it is time to change the model.

Extrapolated model results are never evidence. They are just indicators of what may come to pass provided that the model – in spite of all its simplifications – does truly apply.

And when climate model results are fudged to move towards climate data which, in turn, has to be fudged to move towards the model results, one wonders whether there is any scientific method left in “climate science”.

This is reported by WUWT from a recent paper from ETH Zurich.

If the model data is corrected downwards, as suggested by the ETH researchers, and

the measurement data is corrected upwards, as suggested by the British and Canadian researchers,

then the model and actual observations are very similar.

Shameless is one adjective that comes to mind.

Fraudulent is another.



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One Response to “How climate science models are validated”

  1. How much of global warming is due to data corruption? | The k2p blog Says:

    […] was recently pointed out, fudging both data and model results seems endemic in “climate […]

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