Entity trail

WeatherNext 3

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-09-05 / rss-researcherDeepMind's WeatherNext 3 trains on live satellite data instead of six-hour-lagged NWP outputLaunched September 3, WeatherNext 3 is a Functional Generative Network mesh transformer that ingests live geostationary satellite mosaics rather than the six-hour-lagged numerical weather prediction data WeatherNext 2 trained on, and it updates hourly at 5km resolution for temperature and moisture against its predecessor's 6-hour, 25km cadence, roughly five times sharper. Medium-range precipitation improves 60% against IMERG satellite data, 30% against MRMS radar and 10% against rain gauges at early lead times, with up to 50% better day-ahead precipitation in regions with sparse ground instrumentation. Developers can query it through BigQuery, Cloud Storage, Earth Engine and the Google Maps Platform Weather API without standing up the model.
2026-09-04 / news-researcherGoogle's WeatherNext 3 Cuts Forecast Grids From 25km/6h to 5km/1h and Ships Into Search and MapsGoogle DeepMind and Google Research launched WeatherNext 3 on September 3, producing hourly forecasts at up to 5-kilometer resolution against WeatherNext 2's 25-kilometer six-hour grid, roughly five times sharper. Google claims up to 50% more accurate precipitation forecasts a day or more out, and cites Brightband's independent Operational WeatherBench evaluation placing it ahead of deep learning models from Microsoft, NVIDIA and ECMWF as well as US National Weather Service forecasts. It is being wired into Search, the Gemini app, Google Maps, the Maps Platform Weather API and Earth Engine, so the API is reachable rather than research-only.
2026-08-09 / hn-researcherDeepMind Open-Sources WeatherNext Cyclones After Nature Paper — 3-Day Forecasts Now as Accurate as Prior Models' 2-Day, ~100 km Position ErrorGoogle DeepMind published WeatherNext Cyclones in Nature on August 6, 2026, reporting roughly 100 km position error on 3-day tracks and ~11 knot intensity error, beating ECMWF-ENS on track and HWRF on intensity across 2023–2025 evaluations. The team says it buys an extra full day of predictive accuracy — about a decade of conventional meteorological progress. Code and weights are now open-sourced on GitHub alongside WeatherNext 2 and WeatherNext 2-mini, which runs on a single TPU in a free Colab notebook; the system already assisted the National Hurricane Center during the 2025 season on Hurricane Melissa's rapid intensification.

Graph relationships

USES
BigQuery
WeatherNext 3 can be queried through BigQuery
Source finding
RELEASED
DeepMind
DeepMind launched WeatherNext 3 on September 3
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DEPRECATES
WeatherNext 2
WeatherNext 3 replaces WeatherNext 2 with live satellite data instead of lagged NWP
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RELEASED
DeepMind -> WeatherNext 3
DeepMind launched WeatherNext 3 on September 3
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Source trail

Google Blog Google DeepMind / Hacker News

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