A new method for constructing reduced-order models (ROM) of unsteady small-
disturbance Rows is presented, The reduced-order models are constructed usi
ng basis vectors determined from the proper orthogonal decomposition (POL)
of an ensemble of small-disturbance frequency-domain solutions. Each of the
individual frequency-domain solutions is computed using an efficient time-
linearized Row solver, We show that reduced-order models can be constructed
using just a handful of POD basis vectors, producing low-order but highly
accurate models of the unsteady Row over a wide range of frequencies. We ap
ply the POD/ROM technique to compute the unsteady aerodynamic and aeroelast
ic behavior of an isolated transonic airfoil and to a two-dimensional casca
de of airfoils.