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Higher values are associated with windy conditions and lower values with still air conditions, but, with other information unavailable, a value of 20 watts per square metre kelvin fits data on ice growth quite well.
It fits data from experiments that did not exhibit extensive pore blockage well, but fits data from experiments that exhibited pore blockage less well.
As a result, building a model that fits data well is not the same as making a prediction that is useful for decision makers.
The paper shows that the new model is more realistic than an earlier mixture model and that it fits data equally well.
Generating a realistic model of subsurface stratigraphy that fits data from multiple well locations is a well-established problem in the field of aquifer characterisation.
A good fit is achieved with the value of ({chi _{r}^{2}}) about 1, meaning that the fault model fits data within uncertainties.
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Figure 3 shows the experiment data and the fitted data.
Most of the fitted data fell within ±20% of the experimental values.
A quadratic model was used to fit data for all responses.
The corresponding Bode plots show a good agreement between experimental and fitted data.
Experimental data are shown as colored solid lines and fitted data as dark gray circles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com