Accurate derivatives, or sensitivities, are prerequisite for many efforts in engineering computation.

We applied the ADIFOR 2.0 automatic differentiation tool to OVERFLOW, an extensively used CFD code from NASA Ames.

Our results demonstrate that automatic differentiation, when coupled with domain knowledge, can efficiently provide accurate sensitivities of real computational fluid dynamics (CFD) codes.