The phrase "a substantial model of" is correct and usable in written English.
It can be used when discussing a significant or important representation or framework of a concept, system, or phenomenon.
Example: "The researchers developed a substantial model of climate change impacts on agriculture."
Alternatives: "a significant representation of" or "an important framework for".
Typically, models are calibrated and model parameters are estimated by minimization of the discrepancy between model simulations characterizing the system and existing observations requiring a substantial number of model evaluations.
The approach follows Gibbons et al. (2010) where, in tests for model parsimony, weekly time-constraints were shown to be redundant in a substantial number of model runs.
In [ 18- 20], optimization techniques are used to determine which reactions can be eliminated from the original model without a substantial alteration of the model behaviour.
A substantial number of model studies involving pure metals are also available, particularly for sulfidizing oxidizing gases.
The global sensitivity analysis requires a substantial number of model evaluations.
Analysis of a non-dimensional system derived from our model suggests that a substantial fraction of the model parameter space for the wild-type signaling network should result in decaying cAMP oscillations following glucose stimulus.
If the number of parameters increases without substantial model improvement, the information criterion also increases, indicating a poorer data fit.
In the present model, a substantial reduction of ICaL (45%) was found to be necessary in the model to give a prolonged CL.
Our experimental observations require a substantial modification of the model of interaction between benzene molecules and graphite surfaces: in contrast to recent studies we find only weak kinetic surface friction, but a substantial dissipative interaction during inter-molecular collisions.
In this paper a substantial modification of the model is proposed in order to enhance its capability in predicting the residual strength kinetics with emphasis to the "sudden drop" of strength before catastrophic failure.
