Releases·Model Releasefeatured
Google announces WeatherNext 3 AI weather model, rolling into Search, Maps, and Gemini
Google DeepMind and Google Research announced WeatherNext 3, their most advanced global weather AI model, which learns directly from real-time weather observations to deliver timely, localized forecasts. Independent live evaluations by Brightband rank it the most accurate global weather model to date. It now powers weather forecasts in Google Search, Maps, and Gemini, with real-time data available via BigQuery, Earth Engine, and Google Cloud Storage.
3683 engagement14 sourcesThu, Sep 3, 2026, 03:00 PM
AI Overview
- Google's WeatherNext 3 predicts down to 5km resolution versus the 15-25 square km typical of AI weather models.
- WeatherNext 3 improves rain evaluations by 60% over WeatherNext 2 and ingests real-time satellite data directly to launch a new forecast hourly instead of every six hours
- WeatherNext 3 now powers forecasts in Google Search, Gemini app, Google Maps, and Google Maps Platform.
- WeatherNext 3 tops Brightband's independent Operational WeatherBench live evaluations, beating models from Microsoft, Nvidia, ECMWF, plus the National Weather Service.
- The model offers 5km resolution, hourly forecasts, and 60% better rain evaluations than WeatherNext 2, with 2.4x more parameters.
- Google claims it's the first AI model to ingest raw satellite observations for high-res global forecasts; WindBorne disputes this for WeatherMesh 6.
- Google says Brightband's independent live evaluations rank WeatherNext 3 the most accurate global weather model to date.
- WeatherNext 3 trains directly on raw weather station observations, capturing localized microclimates in typically underserved areas.
Related
Developments·Paper
Weatherwatch: AI model beats standard methods at predicting cyclones
A paper in Nature reports Google's WeatherNext AI model outperforms existing systems at cyclone forecasting. It delivers a three-day forecast as accurate as prior two-day predictions, effectively adding a day of warning for hurricanes and typhoons. The result matters for disaster preparedness and operational forecasting.
A paper in Nature reports Google's WeatherNext AI model outperforms existing systems at cyclone forecasting. It delivers a three-day forecast as accurate as prior two-day predictions, effectively adding a day of warning for hurricanes and typhoons. The result matters for disaster preparedness and operational forecasting.
0 engagement1 sourcerssThu, Sep 10, 2026, 05:00 AM
Developments·Paper
Google's WeatherNext 3 matches physics-model resolution, hourly forecasts from raw satellite and station observations
A paper introduces WeatherNext 3, an AI weather model that trains and initializes directly on raw observations rather than analysis data. It claims a new state-of-the-art in probabilistic medium-range forecast skill while raising spatial and temporal resolution closer to physics-based models.
A paper introduces WeatherNext 3, an AI weather model that trains and initializes directly on raw observations rather than analysis data. It claims a new state-of-the-art in probabilistic medium-range forecast skill while raising spatial and temporal resolution closer to physics-based models.
0 engagement1 sourcearxivThu, Sep 3, 2026, 09:30 AM
Releases·Tool Release
Microsoft open-sources ML weather model forecasting two to six weeks out, published in Nature
Microsoft researchers published a machine learning tool in Nature that extends reliable weather forecasting to two-to-six weeks ahead, a range where physics-based and existing AI models typically lose accuracy. The company describes it as a cost-effective approach and has released the tool as open-source software. Practitioners in agriculture and emergency response are cited as beneficiaries of longer-horizon forecasts.
Microsoft researchers published a machine learning tool in Nature that extends reliable weather forecasting to two-to-six weeks ahead, a range where physics-based and existing AI models typically lose accuracy. The company describes it as a cost-effective approach and has released the tool as open-source software. Practitioners in agriculture and emergency response are cited as beneficiaries of longer-horizon forecasts.
0 engagement1 sourcerssWed, Oct 14, 2026, 04:05 PM
Releases·Model Releasefeatured
Google DeepMind open-sources WeatherNext AI weather forecasting model
Google DeepMind announced it is open-sourcing WeatherNext, its AI weather forecasting model, by releasing the code and model weights on GitHub. The model forecasts cyclones up to 15 days in advance and predicts track, intensity, size, structure, and formation, outperforming or matching many traditional systems on key benchmarks. The release aims to support researchers, meteorological agencies, and the broader scientific community.
Google DeepMind announced it is open-sourcing WeatherNext, its AI weather forecasting model, by releasing the code and model weights on GitHub. The model forecasts cyclones up to 15 days in advance and predicts track, intensity, size, structure, and formation, outperforming or matching many traditional systems on key benchmarks. The release aims to support researchers, meteorological agencies, and the broader scientific community.
301 engagement1 sourceredditThu, Aug 6, 2026, 04:05 PM
Developments·Paperfeatured
Google's AMIE demonstrates expert-level real-time clinical video consultations
Google Research and Google DeepMind advanced AMIE, their research medical AI system, to perform real-time clinical video consultations at expert level, a first-of-its-kind demonstration. Built on Gemini and Project Astra with a multi-agent architecture, AMIE interprets audio-visual cues like coughs and gait, potentially enabling more natural and accessible patient-physician interactions.
Google Research and Google DeepMind advanced AMIE, their research medical AI system, to perform real-time clinical video consultations at expert level, a first-of-its-kind demonstration. Built on Gemini and Project Astra with a multi-agent architecture, AMIE interprets audio-visual cues like coughs and gait, potentially enabling more natural and accessible patient-physician interactions.
12069 engagement4 sourcesarxiv, reddit, rssMon, Aug 10, 2026, 05:19 PM