The test of any new scientific theory is the ability to
make numerical predictions which prove to be correct on independent assessment.
Not exact matches
Stumm said the study would include «putting a network of outpost wells, filling in gaps in information, and using the information in a
numerical model to
make predictions for management.
Although meteorologists now rely heavily on computer models (
numerical weather
prediction), it is still relatively common to use techniques and conceptual models that were developed before computers were powerful enough to
make predictions accurately or efficiently.
By its very nature, a model is a simplification of reality, so the final step when we consider
predictions made by
numerical models is to assess the uncertainty in our
predictions.
But all of the inputs are approximations (parameter estimates, equations,
numerical methods), and the output to date shows that they have
made bad
predictions about «out of sample» data — the trend since they were published.
• has no numbered equations, and thus • has no mathematical deductions, and moreover, • has no
numerical computations, and in consequence •
makes no quantitative
predictions, and finally • inexplicably ignores (without comment!)
«The temperature graphs are
made from
numerical weather
prediction (NWP) «analysis» data.
All our forecasts and reanalyses use a
numerical model to
make a
prediction.
This is what
makes paleoreconstructions possible, and what
makes it possible to initialize global
numerical weather
prediction models with so few observations.)