00:00New technology is being tested across the New York City metropolitan area.
00:04More than 20 weather stations are already streaming atmospheric data.
00:08The project comes from Finnish weather technology company Skyfora.
00:12It is working with the New York State Mesonet at the University at Albany.
00:16The goal is to improve short-term rainfall forecasting.
00:19The system measures precipitable water vapor in near real time.
00:23It uses existing GNSS infrastructure, including telecom cell towers.
00:28That creates a denser network of atmospheric observations.
00:31Researchers will test forecasts covering the next zero to six hours.
00:35The data could also help monitor rapidly developing flash flood threats.
00:40Water vapor is a key ingredient that fuels heavy precipitation.
00:43Changes in its distribution can provide an early signal of intense rainfall.
00:48The pilot will assess whether these measurements improve existing water vapor observations.
00:53Emergency managers could benefit from more timely information during severe weather.
00:58Researchers hope the project can support AI-assisted weather forecasting.
01:02The partnership could also provide a model for future national mesonet networks.
01:07The results will help determine how this technology could improve flood forecasting.
01:11Disclosure.
01:12This video contains stock footage and content created or enhanced using AI-assisted tools.
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