Sentence examples for model extrapolation from inspiring English sources

After a brief review of the topside model extrapolation technique, comparisons are presented between the modeled profiles and height-integrated profiles with incoherent scatter radar and satellite measurements for the mid latitude and equatorial ionosphere.

In model extrapolation, over half of the calibrated solifluction models were transferable from one area to another.

Model extrapolation of isoprene emission measurements verifies recently published observations that desert vegetation is a small source of isoprene relative to forests.

Besides the potential reduction in the on-line computational burden, it offers a convenient way to control the degree of model extrapolation in the calculation of optimal control moves.

Although this was a model extrapolation, model and experiment were in good accordance for a wide range of absolute and methanol partial pressures, molar ratios of water to methanol and temperatures.

Second we extrapolated this model to epoch 2010.0 using by-products of the SV model series as described in Section 4. In order to minimize the errors related to model extrapolation, we chose to build our model using the most recent available magnetic measurements.

Finally, uncertainty analysis was done for parameters estimation and model extrapolations.

A model is regarded valid only within its training domain and only the prediction for new compounds falling within its applicability domain can be considered reliable and not model extrapolations.

A model is considered valid only if it is able to make predictions within its training domain and only the prediction for new compounds falling within its applicability domain can be regarded credible and not model extrapolations.

Model extrapolations, disturbances or sensor faults are first detected through a combined statistic (that considers the calibration region); then, a diagnosis is made by combining statistics pattern recognition, contribution analysis, and disturbance isolation based on historical fault patterns.

Indeed, the carbon-dense areas, e.g. gallery forests and forest patches (e.g. seasonal forest and Cerradão), are associated with the highest standard deviations, as they are model extrapolations and our models will most likely underestimate carbon stocks in these areas.