  Superconvergence of differential structure on discretized surfaces is studied
in this paper. The newly introduced geometric supercloseness provides us with a
fundamental tool to prove the superconvergence of gradient recovery on deviated
surfaces. An algorithmic framework for gradient recovery without exact
geometric information is introduced. Several numerical examples are documented
to validate the theoretical results.
