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Modeling of long range pesticide drift is an ongoing issue that has been brought to a head lately due to the use of long range drift in an effort to protect endangered species. AGDISP is a well-known tool to predict drift and is often used to make predictions at distances that are beyond its modeling domain. The USDA Forest Service is currently developing approaches to extend model predictions of long range drift. In these approaches AGDISP is used as a source model and interfaced with established US Environmental Protection Agency accepted long range air pollution models. This paper addresses the initial steps in interfacing AGDISP with SCIPUFF, a Lagrangian puff deposition model, and its application to complex terrain.