The National Oceanic and Atmospheric Administration and Google have signed a three-year agreement to explore ways to improve the use of NOAA’s environmental and satellite data using artificial intelligence and machine learning.
NOAA’s satellite and information service and Google will work to enhance weather forecasting, environmental monitoring and climate research efforts by piloting projects related to AI and machine learning under the other transaction authority agreement, the agency said Tuesday.
“Our goal is to increase scientific impact, and improve the efficiency and effectiveness of environmental and satellite data by leveraging Google Cloud’s infrastructure and AI/ML know-how. All this will help improve weather forecasting, research and unlock innovation,” said Mike Daniels, vice president of global public sector at Google Cloud.
Google and NOAA will work on small-scale AI and ML platforms and further develop them into full-scale prototypes that could be operationalized by the agency to improve prediction for hurricanes, tornadoes and other extreme weather events using large volumes of environmental data.
“Strengthening NOAA’s data processing through the use of big data, artificial intelligence, machine learning, and other advanced analytical approaches is critical for maintaining and enhancing the performance of our systems in support of public safety and the economy,” said Neil Jacobs, acting NOAA administrator.