A new initiative could help provide several days warning of an upcoming flood.

Researchers from IBM and the University of Texas in Austin have developed flood prediction technology that can accurately warn of impending disaster by simulating a river's behavior up to one hundred times faster than real-time.

Using analytics software and Deep Thunder (IBM's advanced weather simulation model), the researchers were able to simulate thousands of river branches at a time. This technology could warn people days before a flood, giving them more time to prepare. It is currently being tested on the 230 mile-long Guadalupe River and over 9,000 miles of its tributaries in Texas. The system has been generating up to 100 hours of river behavior in a single hour. Frank Liu, Research Staff Member at IBM Research, said:

PSFK provides access to this article and every report, case-study, interview, and analysis that we publish for our members. PSFK Professional Membership also unlocks accessto unlimited customized research assistance and our database of over 100,000 insights on innovation trendspanning across eight industry sectors—from culture and brand to retail and customer experience.
Already a members? Log in