Note that the Russians validated their model
tuning against observations — I think this is a major breakthrough.
Not exact matches
It is argued that uncertainty, differences and errors in sea ice model forcing sets complicate the use of models to determine the exact causes of the recently reported decline in Arctic sea ice thickness, but help in the determination of robust features if the models are
tuned appropriately
against observations.
• Lack of formal model verification & validation, which is the norm for engineering and regulatory science • Circularity in arguments validating climate models
against observations, owing to
tuning & prescribed boundary conditions • Concerns about fundamental lack of predictability in a complex nonlinear system characterized by spatio - temporal chaos with changing boundary conditions • Concerns about the epistemology of models of open, complex systems
Another point is that IEHO it is not easy to separate GCM results from
observation, because the GCMs have been evaluated
against observational data (note this is not
tuning, this is sensitivity ananlysis in the broadest sense)
Models are often
tuned by running them backwards
against several decades of
observation, this is much too short a period to correlate outputs with
observation when the controlling natural quasi-periodicities of most interest are in the centennial and especially in the key millennial range.
For a complete discussion of this see Essex: https://www.youtube.com/watch?v=hvhipLNeda4 Models are often
tuned by running them backwards
against several decades of
observation, this is much too short a period to correlate outputs with
observation when the controlling natural quasi-periodicities of most interest are in the centennial and especially in the key millennial range.
The IPCC's detection and attribution method is meaningful to the extent that the models agree with
observations against which they were not
tuned and to the extent that the models agree with each other in terms of attribution mechanisms.
These models are routinely tested
against, and in many cases
tuned towards,
observations of the modern Earth system.