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This modelling approach is the base of all models presented in this section.
These time series were then used as a boundary condition (at the 100 m depth contour) for the ANUGA tsunami inundation models presented in this study (Fig. 1).
The obtained results are compared with those generated by classical forecasting models presented in the literature.
Fifth, we propose an architecture to integrate and implement the models presented in this paper.
The calculations are realised with four models presented in the literature.
The obtained results are compared with those generated by classical models presented in the literature.
The charging models presented in the technical literature, however, overlook the stochastic nature of driving patterns.
Thus, no fictituous stiffness is introduced as is the case with models presented in the literature.
Results are validated with numerical solutions and semi-analytical models presented in the literature.
We still use the models presented in Sections 4.1 and 4.2.
The models presented in bold are the best equations from each model type.
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