After every major weather disaster, such as the overnight explosion of Hurricane Michael in 2018, the same questions arise around how much the forecast might have benefited from better information about the storm before it arrived and why it’s sometimes so hard to forecast surprises in the clouds.

In what officials say will be a great leap forward in answering these types of questions and providing more precise forecasts, the National Science Foundation is putting $91.8 million toward helping the long-term development of a new, advanced radar system. The radar would take a closer look at what’s happening deep inside those clouds and storms before they arrive. That could include crucial moments when rain, hail, snow and tornadoes are forming, as well as tropical cyclones. 

Here’s what the Science Foundation had to say about the radar:

What is it?

The Airborne Phased Array Radar, a state-of-the-art radar to be attached to the outside of an aircraft and flown over land and ocean. Once complete, the radars will be added to aircraft at the NSF and NOAA.

Why do it?

“The increasing severity and frequency of tropical storms and extreme precipitation events due to climate change are causing unprecedented threats to society,” the science foundation said in a news release. The information also could help weather forecasters “tasked with keeping people safe.”

Who will participate in development?

Scientists and engineers from the National Center for Atmospheric Research, the University of Oklahoma, Colorado School of Mines, Colorado State University, and the University of Massachusetts Amherst.

What will it do? 

  • Collect “high-resolution measurements in space and time”
  • Identify whether storms are carrying raindrops, hail, sleet or snow
  • Record the birth and development of severe storms, including dramatic intensity changes and eyewall formation in hurricanes.
  • Advance signal processing techniques to harvest and analyze the immense volumes of data

What will the data be used for? 

  • Help researchers improve the models used to forecast weather
  • Help better predict sudden changes in tropical storm intensity
  • Test predictions about severe weather, including tropical cyclones, tornadoes, damaging straight-line winds, hail, and flash flooding.