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Fig. 2 Numerical model setup of sinusoidal waves propagation over a submerged bar in flume.
Figures 17 and 18 show how the porosity changes vertically through the layers defined 3D model setup of each the lower and upper units, respectively.
In order to be completely general, we adopt the linear model setup of Smyth (2004).
The actual model setup of BETHY/DLR includes 33 inherent vegetation classes which can be regarded as vegetation types.
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Using measured meteorological data from ZAMG results in an overestimation of NPP of about 11% (Figure 2A), which is combined with the highest variability within the sub-regions and years for all four model setups of BETHY/DLR.
Using measured meteorological data from ZAMG results in an overestimation of NPP of about 11%, which is combined with the highest variability within the sub-regions and years for all four model setups of BETHY/DLR.
This finding implies that the simplified parameterization of the SSEBop model did not significantly affect the accuracy of the ET estimate while increasing the ease of model setup for operational applications.
In this paper (Part II), a general overview is first provided on the numerical parameter study, especially on the model setup for the extraction of data related to the wave-induced pore pressures in the sand core beneath PBA-revetments.
The details of the model setup and of the results are shown in Additional file 1: Text S2.
A simulation model setup consisting of a rectangular channel and a column pipe positioned at the downstream of the channel was developed with the incorporation of Reynolds-Averaged Navier Stokes (RANS) k−∊ turbulence model.
The default model setup consisted of four patches connected by four habitat corridors embedded in a matrix (Fig. 1A).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
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