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kb:nesting [2018/07/29 20:59] enviadminkb:nesting [2018/07/29 20:59] (current) enviadmin
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 The only difference between example A and B is that in (A) we have used only 3 nesting grid cells around the core domain whereas in (B) 5 of them are used. As the grid size of the nesting grids is increasing with each grid, the area is extending very fast with each extra Nesting Grid. The grid points inside the nesting area have an increasing horizontal resolution with  The only difference between example A and B is that in (A) we have used only 3 nesting grid cells around the core domain whereas in (B) 5 of them are used. As the grid size of the nesting grids is increasing with each grid, the area is extending very fast with each extra Nesting Grid. The grid points inside the nesting area have an increasing horizontal resolution with 
  
-<fs x-large>''dxy(n 1)=dxy(n) dxy(Main)''</fs> 
 $$ \Delta xy (n)= \Delta xy(Main) *n  $$ $$ \Delta xy (n)= \Delta xy(Main) *n  $$
  
-where $\Delat xy(Main)$ is the resolution of the main model and $n$ is the index of the nesting grid starting with 1 at the model borders.+where $\Delta xy(Main)$ is the resolution of the main model and $n$ is the index of the nesting grid starting with 1 at the model borders.
 The more Nesting Grids you use, the lower is the chance that you will get numerical problems because one or more of your model boders are interfering with internal model dynamics. The more Nesting Grids you use, the lower is the chance that you will get numerical problems because one or more of your model boders are interfering with internal model dynamics.