{"id":1701,"date":"2025-11-18T02:00:56","date_gmt":"2025-11-17T22:00:56","guid":{"rendered":"https:\/\/www.actutech.app\/google-updates-its-weather-forecasts-with-a-new-ai-model\/"},"modified":"2025-11-18T02:00:56","modified_gmt":"2025-11-17T22:00:56","slug":"google-updates-its-weather-forecasts-with-a-new-ai-model","status":"publish","type":"post","link":"http:\/\/www.actutech.app\/en\/google-updates-its-weather-forecasts-with-a-new-ai-model\/","title":{"rendered":"Google updates its weather forecasts with a new AI model"},"content":{"rendered":"
\n

\"An

\n\tAn illustration from Google\u2019s new AI weather model. | Image: Google\t<\/figcaption><\/p><\/figure>\n

Google debuted a new and improved AI weather model<\/a> today that will be incorporated into popular products like Search, Gemini, and Pixel phones.\u00a0<\/p>\n

The company\u2019s AI-enhanced forecasts have proven themselves to be quite accurate<\/a> so far<\/a>. AI weather models have also been able to make predictions faster and more efficiently than conventional physics-based models. Until now, Google\u2019s work in this area has been mostly experimental<\/a>. Now, it\u2019s making those predictions a selling point for Google products and services.\u00a0<\/p>\n

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\u201cWe\u2019re taking it out of the lab and really putting it into the hands of users\u201d<\/p>\n<\/blockquote>\n<\/figure>\n

\u201cWe\u2019re taking it out of the lab and really putting it into the hands of users in more ways than we have before and sort of shedding off the experimental kind of designation because we have confidence that our forecasts are really quite effective and quite useful,\u201d Peter Battaglia, senior director of research and sustainability at Google DeepMind, said in a briefing with reporters.\u00a0\u00a0<\/p>\n

The new AI model, WeatherNext 2,<\/a> can generate forecasts eight times faster than Google\u2019s previous model, and is also more accurate in predicting 99.9 percent of variables like temperature or wind. WeatherNext 2 can pump out hundreds of potential outcomes from a particular starting point. It takes less than a minute using one of Google\u2019s TPU chips to make a prediction, which the company says would typically take several hours to accomplish using physics-based models on a supercomputer.\u00a0<\/p>\n

Those conventional models are computationally intensive because they\u2019re essentially attempting to recreate the complicated physics of the atmosphere to produce forecasts. AI models, in contrast, try to discern patterns out of historical weather data in order to predict future outcomes.\u00a0<\/p>\n

Google was able to streamline its process by using a strategy it calls a Functional Generative Network<\/a> (FGN) in WeatherNext 2. Older AI weather models still required repeated processing to generate one forecast. FGN is more efficient because it incorporates noise \u2014 or targeted randomness \u2014 into the model each time it\u2019s provided an input so that WeatherNext 2 can generate many different possible outcomes in a single step.\u00a0<\/p>\n

The advancements allow WeatherNext 2 to make predictions up to 15 days in advance and generate hourly forecasts. Google\u2019s banking on that appealing to enterprise customers as well as individual consumers.\u00a0<\/p>\n

\u201cWe found that energy, agriculture, transportation, logistics, and customers in many other industries are quite interested in these one-hour steps. It helps them make more precise decisions relating to things that affect their business,\u201d Akib Uddin, a product manager at Google Research, said on the call.\u00a0\u00a0<\/p>\n

Aside from adding WeatherNext 2 to Maps, Search, Gemini, and Pixel Weather, Google is also offering an early access program<\/a> for customers interested in custom modeling. The forecast data is also available in Google Earth Engine<\/a> for geospatial analysis and BigQuery<\/a> for large-scale data analysis.\u00a0<\/p>\n

Google has competition, of course, when it comes to figuring out how to make generative AI useful in weather forecasting. The European Center for Medium-Range Weather Forecasts<\/a>, Nvidia<\/a>, Huawei<\/a>, and other companies are similarly developing their own AI weather models.\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

An illustration from Google\u2019s new AI weather model. | Image: Google Google debuted a new and improved AI weather model […]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1701","post","type-post","status-publish","format-standard","hentry","category-non-classe"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/posts\/1701","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/comments?post=1701"}],"version-history":[{"count":0,"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/posts\/1701\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/media?parent=1701"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/categories?post=1701"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.actutech.app\/en\/wp-json\/wp\/v2\/tags?post=1701"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}