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We describe a Cartesian grid strategy for the study of three dimensional inviscid flows about arbitrary geometries that uses both conventional and CAD/CAM surface geometry databases. Initial applications of the technique are presented. The elimination of the body-fitted constraint allows the grid generation process to be automated, significantly reducing the time and effort required to develop suitable computational grids for inviscid flowfield simulations.

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Autonomous UAV science missions hold great promise for improving the productivity of airborne science research and applications. Potential UAV science missions have been reviewed and common autonomy needs have been identified. Preliminary efforts to craft an Intelligent Mission Management architecture for observational autonomy are evolving. Three science missions, along with the architecture, the technology needs and operational requirements for autonomy are highlighted.