We consider an unbounded steady-state ow of viscous uid over a three-dimensional nite body or con guration of bodies. For the purpose of solving this ow problem numerically, we discretize the governing equations (Navier-Stokes) on a nite-di erence grid. The grid obviously cannot stretch from the body up to in nity, because the number of the discrete variables in that case would not be nite. Therefore, prior to the discretization we truncate the original unbounded ow domain by introducing some arti cial computational boundary at a nite distance of the body. Typically, the arti cial boundary is introduced in a natural way as the external boundary of the domain covered by the grid.The ow problem formulated only on the nite computational domain rather than on the original in nite domain is clearly subde nite unless some arti cial boundary conditions (ABC's) are speci ed at the external computational boundary. Similarly, the discretized ow problem is subde nite (i.e., lacks equations with respect to unknowns) unless a special closing procedure is implemented at this arti cial boundary. The closing procedure in the discrete case is called the ABC's as well.In this paper, we present an innovative approach to constructing highly accurate ABC's for three-dimensional ow computations. The approach extends our previous technique developed for the two-dimensional case; it employs the nite-di erence counterparts to Calderon's pseudodi erential boundary projections calculated in the framework of the di erence potentials method (DPM) by Ryaben'kii. The resulting ABC's appear spatially nonlocal but particularly easy to implement along with the existing solvers.The new boundary conditions have been successfully combined with the NASA-developed production code TLNS3D and used for the analysis of wing-shaped con gurations in subsonic (including incompressible limit) and transonic ow regimes. As demonstrated by the computational experiments and comparisons with the standard (local) methods, the DPM-based ABC's allow one to greatly reduce the size of the computational domain while still maintaining high accuracy of the numerical solution. Moreover, they may provide for a noticeable increase of the convergence rate of multigrid iterations. Key words. External ows, in nite-domain problems, arti cial boundary conditions, far-eld linearization, boundary projections, generalized potentials, di erence potentials method, auxiliary problem, separation of variables.AMS subject classi cations. 65N99, 76M25 2 S. V. TSYNKOV remote possibility. The primary reason for that is that the exact ABC's are typically nonlocal, for steady-state problems in space and for time-dependent problems also in time. The exceptions are rare and, as a rule, restricted to the model one-dimensional examples. From the viewpoint of computing, nonlocality may imply cumbersomeness and high cost. Moreover, as the standard apparatus for deriving the exact ABC's involves integral transforms (along the boundary) and pseudodi erential operators, such boundary conditions can be ...