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Our principal focus is the effect of model and observation uncertainties on the effectiveness of our data assimilation approach.
Hence, the effect of model system size on the calculated results was investigated.
Figure 6 Effect of model refinement on error distributions and uncertainty for the validation set.
The effect of model depth (Fig. 9c) is substantial for depths less than about 50 m.
In this paper, we study the effect of model errors on the performance of feedforward controllers.
In the results section, the effect of model parameters on outcomes is firstly explored.
We demonstrate the effect of model parameters through comparative statics analysis.
A sensitivity analysis is done to show the effect of model uncertainty on the controller performance.
Furthermore, the effect of model fidelity and modifications to enforce high ESP efficiency are studied.
The effect of model parameters on diffusion is studied by numerical simulation.
The solutions proved convenient to assess the effect of model parameters on the colloid distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com