MBSE modeling of a SoS with a small satellite and autonomous surface vessels for persistent coastal monitoring

Oceanographic phenomena can be monitored using both remote sensing and in-situ measurements. However, it is challenging to gain actionable insight by just utilizing one source. Combining these data sources in near real-time enables high temporal, spectral and spatial resolution of phenomena in target areas. In this article, we use Model-Based Systems Engineering to model and highlight missing functions or new capabilities needed within an acknowledged System-of-Systems that can support the monitoring of oceanographic phenomena in coastal regions. Different system architectures and a logical architecture have been modeled to provide new insights for developers through reinforcement of a common mental model as well as technical considerations.