{"id":1330,"date":"2025-09-22T09:29:50","date_gmt":"2025-09-22T14:29:50","guid":{"rendered":"https:\/\/climate.climatestage.com\/humancenteredforecasts\/news\/could-ai-transform-weather-forecasting\/"},"modified":"2025-10-08T09:31:29","modified_gmt":"2025-10-08T14:31:29","slug":"could-ai-transform-weather-forecasting","status":"publish","type":"news","link":"https:\/\/climate.climatestage.com\/humancenteredforecasts\/news\/could-ai-transform-weather-forecasting\/","title":{"rendered":"Could AI Transform Weather Forecasting?"},"content":{"rendered":"<p>By\u00a0<span class=\"byline-name\"><a href=\"https:\/\/chicagomaroon.com\/staff_name\/jinny-kim\/\">Jinny Kim<\/a><\/span><\/p>\n<p>High-quality weather and climate forecasts are vital to saving lives and managing resources. As climate change accelerates and extreme weather events worsen, accurate forecasting is becoming even more urgent.<\/p>\n<p>Now, researchers at UChicago\u2019s AI for Climate Initiative (AICE) say that they are developing artificial intelligence models that will push the frontiers of weather and climate forecasts. AICE aims to use AI to augment tools for forecasting weather, assessing socioeconomic impacts of climate change, and informing mitigation and adaptation policies.<\/p>\n<p>Traditional, physics-based weather models\u00a0<a href=\"https:\/\/www.bbc.com\/weather\/articles\/cwy6ykp7049o\">require<\/a>\u00a0multimillion-dollar supercomputers and take hours to produce forecasts. AI could shorten this time frame dramatically, delivering forecasts in minutes on a laptop.<\/p>\n<p>\u201cAI can help quickly zoom in this region, look at what it is, what will it look like, and then have the emergency response,\u201d said Jiwen Fan, the deputy division director of the Environmental Science Division at Argonne National Laboratory and faculty codirector of AICE. \u201cExtreme events prevention and mitigation often need faster response, and that\u2019s where fast simulation is very important.\u201d<\/p>\n<p>AI has already\u00a0<a href=\"https:\/\/www.ecmwf.int\/en\/about\/media-centre\/news\/2023\/how-ai-models-are-transforming-weather-forecasting-showcase-data\">spurred<\/a>\u00a0innovations in forecasting, such as Nvidia\u2019s FourCastNet, the first AI-based weather model to produce high spatial resolution forecasts.<\/p>\n<p>AICE, a joint initiative of the Data Science Institute and the Institute for Climate and Sustainable Growth, brings together experts from multiple disciplines across the University, from computer science to physics to economics. Pedram Hassanzadeh, an associate professor in the Department of the Geophysical Sciences who was involved in FourCastNet, is now the faculty director of AICE.<\/p>\n<p>\u201cIn most universities, AI people do their own thing,\u201d Hassanzadeh said. \u201cThere is no initiative that actually brings people from all these areas together under one umbrella. And I think that\u2019s what we have at AICE.\u201d<\/p>\n<p>Currently, AI weather forecasting relies mainly on historical data to train models. However, physics-free models are not yet equipped to accurately make forecasts as worsening climate change leads to more unprecedented weather events.<\/p>\n<p>One of AICE\u2019s key focuses is to develop a model that integrates AI and climate physics to better forecast rare or unprecedented weather events as historical data become less reliable at predicting future events.<\/p>\n<p>\u201cPeople have already shown that, when you get to these more extreme events in a dataset, AI models fail, which may not be very important if you are trying to learn cats and dogs, and the outliers wouldn\u2019t matter,\u201d Hassanzadeh said. \u201cBut in weather forecasts, in climate science, the outliers are actually the most impactful [and] extreme weather events.\u201d<\/p>\n<p><a href=\"https:\/\/chicagomaroon.com\/48413\/news\/could-ai-transform-weather-forecasting\/\">Continue reading on The Chicago Maroon&#8230;<\/a><\/p>\n","protected":false},"featured_media":953,"menu_order":0,"template":"","topics":[],"news_categories":[17],"class_list":["post-1330","news","type-news","status-publish","has-post-thumbnail","hentry","news_categories-in-the-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.2 (Yoast SEO v28.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Could AI Transform Weather Forecasting? - HCWF<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/climate.climatestage.com\/humancenteredforecasts\/news\/could-ai-transform-weather-forecasting\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Could AI Transform Weather Forecasting?\" \/>\n<meta property=\"og:description\" content=\"By\u00a0Jinny Kim High-quality weather and climate forecasts are vital to saving lives and managing resources. 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