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    Four ways cuts at NOAA will make weather forecasts less reliable

    Team_NationalNewsBriefBy Team_NationalNewsBriefMarch 8, 2025 Science No Comments5 Mins Read
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    A destructive tornado near Minden, Iowa in April 2024

    Jonah Lange/Getty Images

    Widespread firings and staffing changes at the US National Oceanic and Atmospheric Administration (NOAA) could make the country’s weather forecasts less reliable, according to multiple researchers and the American Meteorological Society.

    “The consequences to the American people will be large and wide-ranging, including increased vulnerability to hazardous weather,” the organisation said in a statement.

    More than 880 NOAA employees have been fired under the administration of President Donald Trump, according to a statement from US Senator Maria Cantwell. That includes researchers working to improve hurricane forecasts and build the next generation of weather models, and more than 200 people within the National Weather Service, which is part of NOAA. An additional 500 people also accepted an earlier “fork in the road” offer to resign, further hollowing out the agency – which was already understaffed, according to two former NOAA employees.

    A spokesperson for NOAA declined to discuss the firings and staffing changes. They said the agency will “continue to provide weather information, forecasts and warnings pursuant to our public safety mission”. But outside researchers and former NOAA employees say the cuts could degrade the quality of the agency’s weather forecasts.

    The changes will have “definite cascading effects that will impact the forecast, even what people see on their phone via a third party”, says Kari Bowen at the University of Colorado Boulder.

    The cuts could start to affect alerts about extreme weather like tornadoes and hurricanes immediately, and in the longer term, they could make general weather reports less accurate, as even commercial weather apps rely on data and modelling from NOAA. Here are four ways experts predict the storm of firings and resignations will affect weather forecasts.

    Delayed tornado warnings

    The National Weather Service runs a network of 122 weather forecasting offices across the country. At least 16 of the offices in the tornado-prone central part of the country are now understaffed, says William Gallus at Iowa State University. More than a dozen offices in this central region saw their head meteorologists resign, according to the former NOAA employees. And the region’s severe weather season is about to begin.

    Neighbouring offices may be able to help understaffed sites track tornadoes and issue alerts, but the disruption could result in delays. “It is more likely there will be some mistakes,” says Gallus.

    Such delays were evident last year, when a tornado forced a local forecast office in Iowa to evacuate, says Gallus. A neighbouring station stepped in to help track the storm. But in the confusion, some residents got only a 5-minute warning that a tornado was headed their way, rather than the 15-minute minimum that forecasters aim to provide. In an emergency situation, those lost minutes can make the difference between being able to get to safety or not.

    Not knowing when hurricanes will suddenly get stronger

    Some employees fired from NOAA were working on improving hurricane forecasts, in particular estimating when they will rapidly intensify. Rapid intensification can make hurricanes more dangerous by leaving people with less time to prepare. But these events are notoriously challenging to predict.

    Hurricane modellers at NOAA and at other institutions have made substantial progress in forecasting rapid intensification in recent years, says Brian Tang at the University at Albany in New York. This has been due to better modelling, data collection and data integration efforts by NOAA researchers. Now staffing cuts are “destabilising the whole process that makes for improvements into hurricane track and intensity forecasts”, he says.

    “It’s going to be slower going to make the improvements that we have counted on to make hurricane forecasts better over the last 30 years,” says Andy Hazelton, who had worked on improving NOAA’s hurricane forecasts before he was fired from his position at the agency’s Environmental Modeling Center last week. He says several people were also fired from the “Hurricane Hunters” group that flies planes into storms to collect data, including two flight directors.

    Less reliable weather data

    Accurate weather forecasts rely on a continuous stream of information about real-time conditions around the world, collected from ocean buoys, satellites, radar and other sensors. The data is then fed into global weather models that underlie both public and private forecasts. Much of the world’s data and modelling is provided by NOAA.

    Staffing cuts could affect these vital data-gathering efforts, which would degrade the quality of forecasts. In fact, some local weather forecasting centres have already suspended regular weather balloon launches because of staffing shortages.

    “All of those observing networks are maintained and run by people,” says Emily Becker at the University of Miami in Florida. “And we have already lost many people from those teams. It’s going to be an aggregate effect.”

    Stalled improvements to future weather forecasts

    At least eight people, a quarter of its staff, were fired from the Environmental Modeling Center, which is responsible for validating weather data and integrating it into the models that underlie more or less all forecasting, says Hazelton. “Everything from ‘What’s the temperature this weekend?’ to ‘Is there going to be a tornado outbreak?’”

    Staffing cuts at the Environmental Modeling Center will also slow down research to improve current global weather models, he says. Ten people were also fired from the Geophysical Fluid Dynamics Laboratory, where researchers were building the next generation of global weather and climate models.

    Such cuts are “extremely harmful” to efforts to make forecasts more reliable, says Gallus. He says almost all the improvements in forecasts in the past few decades have been down to improvements in modelling. “If we’re losing a large amount of researchers working on them, you’re basically saying my forecasts are never going to get better.”

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