Standardized Atmosphere Generator (SAG) for Inline Environment Generation

We intend to dramatically improve the performance of the Standardized Atmosphere Generator (SAG), an environmental background model used to characterize the atmospheric state. SAG combines multiple empirical models, including NRL-MSISE-00, URAP, NRL climatology, AFGL atmospheric profiles, SNOE databases, the International Reference Ionosphere, and photochemical and empirical models developed by Spectral Sciences, Inc. (SSI). Together, this creates a complete picture of the atmospheric state for electro-optical/infrared (EO/IR) and radar (RF) systems as well as trajectory computations for targeting and tracking. These systems and models required repeatedly refreshed data regarding local atmospheric conditions in an effort to interpret instantaneous measurements and predictively model the motion of threats and countermeasures. SAG currently contains the necessary physics to support these applications but computational bottlenecks and serial code limit its performance. We intend to first remove the I/O performance bottlenecks and create thread-safe implementations of the underlying algorithms within SAG. This will lead to a faster, more efficient model for use in digital simulations. We will then port the most computationally expensive algorithms. The upgrades to SAG will allow real-time usage in digital and hardware-in-the-loop (HWIL) simulations. It will be developed as an integrable module for MDA high-level architectures including the Objective Simulation Framework (OSF). Approved for Public Release | 16-MDA-8917 (15 November 16)