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, CASA is organized into three research thrusts: Sensing, Distributing, and Predicting.
These research thrusts span the disciplines of computer science,
electrical and computer engineering, meteorology, civil engineering,
hydrology, and atmospheric science. Research teams for each thrust 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.
Our End User Integration
Team works with users of weather data and studies applied social,
policy, and behavioral issues associated with deploying the DCAS systems
and the use of these systems in hazardous decision support. Our Technical Integration Team is responsible for the systems engineering flow, process, and documentation needed to create system test beds.