This work involves the development of cognitive modeling technology and computationally rich sensor nodes configured in a wireless network. Atmospheric sensors on each node gather pertinent physical data. Each node's embedded computer processes and combines the data, resulting in information. Then, by taking advantage of the network's hierarchical design and higher level ("cognitive-like") processing, the user will be better able to determine the status and significance of signal activity occurring in the network's region. The objective is to develop technology that helps the user better "know" what to do (i.e., decide and act) based on weather data obtained and processed by a remote sensor network.