Since 1989, scientists in CAPS have developed and improved ARPS (The Advanced Regional Prediction System).
The Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) seeks to revolutionize the remote sensing of the lower troposphere, initially via inexpensive, low-power, phased array Doppler weather radars placed on cell towers and buildings.
unique component of this project is that the sensors collaborate with one another and dynamically adjust their characteristics to sense multiple atmospheric phenomena while meeting multiple end user needs in an optimal manner.
CAPS also is leading an NSF Large Information Technology Research (ITR) grant that seeks to develop an infrastructure for mesoscale meteorology research and education.
Known as Linked Environments for Atmospheric Discovery (LEAD), a transforming element of this project is the ability for analysis tools, forecast models, and data repositories to function as dynamically adaptive, on-demand systems that can change configuration rapidly and automatically in response to the evolving weather; respond immediately to user decisions based upon the weather problem at hand; and steer remote observing systems to optimize data collection and forecast/warning quality.