By using this model, the horizontal ground stress of this region was quantitatively forecasted with minor error and the results prove that the Newberry model can perfectly fit the quantitative calculation of horizontal ground stress.
Empirical research suggests that quantitatively derived forecasts are very frequently judgementally adjusted.
It is clear that those studies did not intend to offer quantitatively valid forecasts.
However, we cannot evaluate the accuracy of our tsunami forecasts quantitatively because data recording stopped before the first tsunami peak at most of the tide-gauge stations (Fig. 2(d)).
Quadratic fit of the data results in expressions that can be easily used in an operational space weather setting to forecast geomagnetic disturbance quantitatively.
That is, given a time series, our proposal (EDFM – Evolutionary Design of Forecasting Models) qualitatively and quantitatively identifies a competitive model to perform the forecasting task.
Although abundant investigations concerning wind speed forecasting have been conducted by numerous researchers, most of the studies merely attach importance to point forecasts, which cannot quantitatively characterize the uncertainties as developing intervals.
In order to forecast risk effectively and quantitatively, the fuzzy sets and systems theory is applied.
The numerical simulation is executed using the constructed geological model to forecast the remaining oil distribution quantitatively.
