diff --git a/docs/Tutorials/LinearShallowWater/LinearShallowWater.md b/docs/Tutorials/LinearShallowWater/LinearShallowWater.md index 5476ca01..91ba465b 100644 --- a/docs/Tutorials/LinearShallowWater/LinearShallowWater.md +++ b/docs/Tutorials/LinearShallowWater/LinearShallowWater.md @@ -91,7 +91,7 @@ The model is integrated forward in time using $3^{rd}$ order Runge-Kutta with a

## How we implement this -You can find the example file for this demo in the `examples/LinearShallowWater2D.f90` file. This file uses the `LinearShallowWater2D` module from `src/SELF_LinearShallowWater2D_t.f90`. +You can find the example file for this demo in the `examples/linear_shallow_water2d_nonormalflow.f90` file. This file uses the `LinearShallowWater2D` module from `src/SELF_LinearShallowWater2D_t.f90`. No normal flow conditions are built into the `LinearShallowWater2D` module when we assign `hbc2d_NoNormalFlow => hbc2d_NoNormalFlow_LinearShallowWater2D_t`: @@ -113,7 +113,7 @@ No normal flow conditions are built into the `LinearShallowWater2D` module when You should notice that the lines marked with `! ` correspond directly to our derived conditions for $u_R$, $v_R$, and $\eta_R$ above. -Let us now look at the main program `LinearShallowWater2D_no_normal_flow_model` in `examples/LinearShallowWater2D.f90`. This program steps through the standard procedures for setting up and running a simulation on a structured 2-D mesh in SELF. +Let us now look at the main program `linear_shallow_water2d_nonormalflow_model` in `examples/linear_shallow_water2d_nonormalflow.f90`. This program steps through the standard procedures for setting up and running a simulation on a structured 2-D mesh in SELF. We assign/initialize the usual variables as follows: ```fortran @@ -257,7 +257,7 @@ Running this program should output twenty `shallow-water.00XX.tec` in the build To run this example, simply execute ```shell -${SELF_ROOT}/examples/LinearShallowWater2D +${SELF_ROOT}/examples/linear_shallow_water2d_nonormalflow ``` This will run the simulation from $t=0$ to $t=1.0$ and write model output at intervals of $Δ t_{io} = 0.05$.