CASA is founded on the transforming paradigm of Distributed Collaborative Adaptive Sensing (DCAS) networks.
DCAS networks are information systems that sample the atmosphere where and when end user needs are greatest. Distributed refers to the use of large numbers of small radars, appropriately spaced to overcome the Earth-curvature blockage that limits current approaches. The radars operate collaboratively within a dynamic information technology infrastructure, adapting to changing atmospheric conditions in a manner that meets competing end user needs. These systems are designed to overcome the fundamental limitations of current methods of observing, understanding, predicting, and responding to atmospheric hazards.
To achieve our vision, our research span the disciplines of computer science, electrical and computer engineering, meteorology, civil engineering, hydrology, and atmospheric science. Research teams work synchronously to create the key components in DCAS networks:
- the radars and their beams;
- the meteorological algorithms that predict, detect, and track hazards; and
- the computer architecture that controls the system in response to changing weather and competing user needs.
We work with users of weather data and study applied social, policy, and behavioral issues associated with deploying the DCAS systems and the use of these systems in hazardous decision support.