Template:Primitive Weighting
Primitive Weighting
The Primitive Weighting tool applies specifically to the ADCIRC numeric engine. It can be used for populating the primitive weighting coefficient for each node based on the node spacing and the node depth. The user must specify a threshold for node spacing (Critical average node spacing) and depth (Critical depth) as described in the documentation for ADCIRC. The defaults for these are 1750 m and 10 m respectively. The user must also specify values for tau for three conditions including default (0.03), deep (0.005) and shallow (0.02).
If the average distance between a node and its neighbors is less than the critical value then tau0 for that node is set at the tau default. If the average distance between a node and its neighbors is greater than or equal to a critical spacing then tau0 for that node is assigned based on the depth using the deep or shallow value specified.
Input parameters
- Target grid – This is a required input parameter. Specify which grid/mesh the primitive weighting dataset will be created for.
- Critical average node spacing – Set the threshold for node spacing.
- Critical depth – Set the threshold for the depth.
- Tau default – Set the default for tau for when the average distance between a node and its neighbors is less than the critical value.
- Tau deep – Set the deep value for when the average distance between a node and its neighbors is greater than or equal to a critical spacing.
- Tau shallow – Set the shallow value for when the average distance between a node and its neighbors is greater than or equal to a critical spacing
Output parameters
- Primitive weighting data set – Enter the name for the new primitive weighting dataset.
Current Location in toolbox
Datasets/Primitive Weighting
