White House cuts to science funding threaten AI weather forecasting institute
Source: NBC News
Sept. 4, 2025, 3:50 PM EDT
The Trump administration is halting funding for a $20 million artificial intelligence institute designed to improve weather forecasting, a move that could sever a pipeline of scientists from receiving training while also hampering the countrys ability to assess the impacts of hurricanes and other weather disasters.
Amy McGovern, the director of the AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), said the National Science Foundation (NSF) informed the institute last month that it would not renew its five-year grant.
It destroys it. Theres no other good way to say it, said McGovern, a professor in meteorology and computer science at the University of Oklahoma. McGovern said the institute could close next year if it cant find private funding. AI2ES is a collaboration among several universities to incorporate AI into weather forecasting and evaluate its trustworthiness.
The move to close AI2ES comes as the Trump administration is heavily investing in AI and accelerating data center construction. The administrations own AI plan calls for the NSF to develop programs to evaluate AI systems and to build AI job training programs and more AI labs specializing in a range of scientific fields.
Read more: https://www.nbcnews.com/science/science-news/white-house-cuts-science-funding-threaten-ai-weather-forecasting-insti-rcna228934

Irish_Dem
(74,784 posts)The data centers are sucking up so many resources.
In my area, electricity bills are doubling to cover the cost of data centers.
littlemissmartypants
(29,746 posts)History of Computer Modeling in Weather Forecasting
Early Developments
1920s: The first attempts at numerical weather prediction were made manually.
1948: The first successful use of a computer for weather forecasting occurred with the ENIAC, which produced a forecast using mathematical models.
Key Milestones
1950: The first operational numerical weather prediction was completed, marking a significant advancement in forecasting technology.
1970s-1980s: Development of global and limited-area models improved forecasting capabilities, including tropical cyclone tracking.
Modern Advancements
2007: The Hurricane Weather Research and Forecasting (HWRF) model became operational, enhancing tropical cyclone predictions.
Recent Years: AI and machine learning techniques have been integrated into weather modeling, allowing for longer lead times and improved accuracy.
Computer modeling has been a crucial part of weather forecasting for over 75 years, evolving significantly since its inception in the late 1940s.
PCB66
(45 posts)...and looks like it is coming this way.