Data, analytics and technology company DTN has created an AI-powered tropical storm forecast model that can deliver warnings up to four days earlier than current forecasts.
AI-powered weather solutions
According to the company, the model is the first of its kind model. It uses semantic segmentation – an artificial intelligence (AI) technique used for driverless cars – with other machine learning (ML) techniques to generate high-detail forecasts that include additional risk insights, including hourly wind, precipitation and storm surge across areas impacted up to seven days in advance.
The advanced tropical storm forecast from DTN delivers additional risk insights, including hourly wind, precipitation and storm surge across areas impact up to seven days in advance.
“For years, DTN has been pioneering AI and weather solutions to help our customers be more climate resilient with global weather insights tailored to their needs and industry,” said Renny Vandewege, general manager of weather and climate intelligence at DTN. “Our tropical storm model further builds upon our innovation to empower businesses and those responsible for keeping people safe to plan better and prepare earlier for a wider range of storm impacts.”
High-detail forecasts
The modeling also processes 1,000s of simulations on each storm to create a probabilistic forecast for both the storm track and wind fields that vary from storm to storm and forecast to forecast. Coupled with the DTN global forecast engine, the hourly forecasts include weather and oceanic data outputs that deliver weather risk insights farther outside the storm’s trajectory.
“Increasingly we are seeing devastating tropical storm impacts farther inland and outside of the storm’s path,” noted Vandewege. “These additional risk insights go right to the heart of what our customers need – more timely, detailed, accurate tropical storm forecasts than ever before, to help them make the best business decisions for their employees’ safety, operations and business continuity.”
In related news, the Corporation for Education Network Initiatives in California (CENIC) recently named an AI wildfire-detection tool created by DigitalPath, California Department of Forestry and Fire Protection (CAL FIRE) and the University of California San Diego’s AlertCalifornia program the winner of the 2024 Innovations in Networking Award for Public Safety. Click here to read the full story.
