A key factor in building grids that accurately simulate your domain is the grid’s orthogonality.  CVLGrid allows you to quickly and easily reduce the orthogonal deviation over the whole domain or over sub-sections of the domain.

Demonstration of global orthogonalization of a grid.

Global Orthogonalization

Using CVLGrid, you can improve the orthogonality of the whole model domain with the push of a button, saving you substantial time in the grid customization process.

You can see this in the example shown to the left, where the grid is transformed from an average orthogonal deviation of 7.4 to 1.4 in two easy steps.

Local Orthogonalization

CVLGrid also has the ability to improve the orthogonality of a grid within a certain user-defined area.  CVLGrid gives you a number of optimization tools with different options for different grid types; these include choosing Laplace or Sorenson equations for grid generation, specifying the number of iterations per operation or for each boundary adjustment, and setting the ratio of moving points. Each of these will help you create a computationally sound grid.

Download free Columbia River Estuary (USA) grid