In many respects, numerical simulations involving solutions to partial differential equations have replaced physical experimentation. However, few tools are available to sift through the deluge of data. We present Saaz, a query framework to analyze the simulation results of multi-scale physical phenomena which admit mathematical rules for characterizing features of interest. Saaz provides high-level primitives that free the domain-scientist to concentrate more on scientific discovery and less on code implementation and maintenance. It supports user-defined domain-specific query operations which may be subsequently composed into more complex queries. While Saaz supports offline processing of queries, we explore here the online capabilities by attaching Saaz to a running simulation, improving the simulation's effective temporal resolution. We discuss analysis for a computational fluid dynamics simulation of turbulent flow running on a cluster.