---
id: "2026-09-03-weathernext-3"
url: "https://postcutoff.com/e/2026-09-03-weathernext-3/"
as_of: "2026-11-13T13:49:00+01:00"
date: "2026-09-03"
date_precision: day
category: science
importance: 4
confidence: high
status: [Result confirmed]
verification: Expert-checked
sources: 5
editor: human editor
human_review: null
version: "2026-10-07"
---

As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/e/2026-09-03-weathernext-3/

# Google DeepMind's WeatherNext 3 learns from live satellite data

Full title: Google DeepMind's WeatherNext 3 learns from live satellite data: hourly 5 km global forecasts and up to 60% better precipitation skill

On Sept 3, 2026 Google DeepMind and Google Research released WeatherNext 3. It ingests live geostationary satellite mosaics and trains directly on station observations, producing a new global forecast every hour at up to 5 km resolution (about 5x sharper than WeatherNext 2). Precipitation CRPS improves by up to 60% against IMERG. Google calls it the most accurate global weather model on Brightband's independent live leaderboard, and it powers Search, Gemini, Maps and Earth Engine.

## Key facts
- Announced Sept 3, 2026; paper arXiv 2609.03582
- Inputs: live 1-hour geostationary satellite mosaics plus historical analysis, into a single Functional Generative Network (FGN) mesh transformer
- Hourly forecasts; 5 km for key surface variables, 10 km for other surface variables, 25 km for atmospheric variables (WeatherNext 2: 25 km, 6-hourly)
- Precipitation CRPS improvement up to 60% vs IMERG, 30% vs MRMS, 10% vs rain gauges at early lead times; up to 50% more accurate precipitation forecasts a day or more ahead for users
- New clean-energy variables: 100 m wind speed, cloud cover, surface solar radiation
- Ranked top on Brightband's live Operational WeatherBench, per Google; deployed in Search, Gemini, Maps, Maps Platform Weather API, Earth Engine, BigQuery

## What happened

DeepMind's weather model stopped depending only on physics-model reanalysis and learns directly from real-time observations, which removes the six-hour data lag of numerical weather prediction.

## Why it matters

It is a step from AI emulating weather simulators to AI forecasting from raw observations, with global 5 km detail that regions without supercomputing budgets have lacked.

## Your AI and this story

- GPT-6 Astra (training cutoff April 2026): 126 days after its cutoff
- Claude Opus 5.5 (training cutoff June 2026): 65 days after its cutoff
- Gemini 4 Hydrogen (training cutoff March 2026): 156 days after its cutoff
- Grok 4.7 (training cutoff May 2026): 95 days after its cutoff

## Sources

1. [Google: Introducing WeatherNext 3](https://blog.google/innovation-and-ai/models-and-research/google-deepmind/introducing-weathernext-3/) (blog.google, official)
2. [arXiv 2609.03582: WeatherNext 3](https://arxiv.org/abs/2609.03582) (arxiv.org, paper)
3. [Brightband Operational WeatherBench live leaderboard](https://owb.brightband.com/) (owb.brightband.com, docs)
4. [Google DeepMind: Introducing WeatherNext 3](https://deepmind.google/blog/introducing-weathernext-3-our-most-advanced-and-accurate-global-weather-ai-model/) (deepmind.google, official)
5. [TechCrunch: Google's latest AI weather model](https://techcrunch.com/2026/09/03/googles-latest-ai-weather-model-gives-you-no-excuse-to-forget-your-umbrella/) (techcrunch.com, press)

## Changes

- 2026-10-07: Science block: kind: other (not a long-open problem; listed with other AI science results, not in the open-problems count)
- 2026-09-30: Added DeepMind blog link
- 2026-09-29 (filed): Created

## Related

- 2026-08-06: [DeepMind open-sources WeatherNext 2 and WeatherNext Cyclones with a Nature paper showing ~1 extra day of hurricane warning](https://postcutoff.com/e/2026-08-06-weathernext-open-source/index.md)
- Archived: 1 video, listed in https://postcutoff.com/e/2026-09-03-weathernext-3/index.json