The performance of a radar is impacted by geographic and atmospheric conditions. Existing training systems lack the ability to model these factors, and radar operators are currently trained live in the operational environment. Training in a simulated environment will decrease costs and allow for more repetitions and more scenarios for the trainee, resulting in better retention and performance. An innovative solution is needed to enable multiple, existing radar-training systems to replicate environmental effects. High fidelity radar simulation tools with environmental effect models have limited applicability and are not suitable for real-time training because the electromagnetic simulation cannot be accomplished in real-time. A system is needed that can provide inputs to multiple training systems, for displaying various environmental conditions, for any geographic location in the operational environment. IAI proposes to develop a high-fidelity environmental model tool for real-time multiple surface ship radar training. This tool will first build a database consisting of channel impulse responses (CIR) of multiple radars in typical terrain and natural environments using IAI's in-house RF channel model tool off-line. During training, the user will specify the scenario using natural language-style inputs such as geographical location and season. The tool converts these inputs to quantitative parameters such as topography, land radar reflectivity, predicted atmospheric conditions, sandstorms, and sea states. The tool will generate the CIR corresponding to that scenario through interpolation using data in the CIR database. This interpolation and lookup table mechanism will be run in real-time. This technology will be useful for radar training in military and commercial enterprises, as well as in radar system requirement analysis, system development, and testing.