where $\nabla S_h(\mathbf x_K)$ is the gradient of the discrete saturation
variable evaluated at the center $\mathbf x_K$ of cell $K$. This approach is
analogous to ones frequently used in compressible flow problems, where density
-gradients are used to indicate refinement.
+gradients are used to indicate refinement. That said, as we will
+discuss at the end of the <a href="#Results">results section</a>, this turns
+out to not be a very useful criterion since it leads to refinement basically
+everywhere. We only show it here for illustrative purposes.
<h3>Linear system and its preconditioning.</h3>
also important to decide whether (and by how much) a wrong velocity
field in fact affects the solution of the saturation equation. This
would then naturally lead to a sensitivity analysis.
+
+From an algorithmic viewpoint, we have here used a criterion for refinement
+that is often used in engineering, namely by looking at the gradient of
+the solution. However, if you inspect the solution, you will find that
+it quickly leads to refinement almost everywhere, even in regions where it
+is clearly not necessary: frequently used therefore does not need to imply
+that it is a useful criterion to begin with. On the other hand, replacing
+this criterion by a different and better one should not be very difficult.
+For example, the KellyErrorEstimator class used in many other programs
+should certainly be applicable to the current problem as well.