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In the present study, we examine the quality of MJO simulation using a relatively coarse-resolution GCM with a cloud microphysics again.
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This range can be inferred using a relatively coarse kernel resolution (large Δ r, also see Additional file 1: Figure S2).
Alternatively, one can improve the quality of numerical simulations by using a relatively coarse mesh, increasing the polynomial degree of the basis functions used in the numerical scheme.
Shallow-water models with porosity are used to compute floods at a relatively coarse resolution while accounting indirectly for detailed topographic data through porosity parameters.
Use a relatively coarse grit Nuvite polishing compound for this step.
Topology optimization is performed in two stages: first, at a relatively coarse resolution followed by a topology optimization on a refined mesh.
100, 50 and 25 m resolution models were constructed and compared to two other inundation prediction techniques: a planar approximation to the free surface and a relatively coarse resolution two-dimensional finite element scheme.
The initial interpolation of the grids was scaled to a relatively coarse resolution (∼111 km2) before a thin-plate smoothing spline algorithm was applied to reduce the surfaces to various finer resolutions that were validated against historical weather station data multiple times to reduce error associated with interpolation [76].
In addition, the soils data available for this study had a relatively coarse resolution of 1 km and were further aggregated to 8 km to match other climatic data for model development.
Fairly large cubes are used, creating a relatively coarse mesh and avoiding the extraction of very small features due to surface noise.
Most large-scale geographic analysis of disease in developing countries is done at a relatively coarse geographic resolution, using provinces, municipalities, or districts as the level of analysis.
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