DeepMind Blog
Aug 6
How we're supporting better tropical cyclone prediction with AI
We’re launching Weather Lab, featuring our experimental cyclone predictions, and we’re partnering with the U. S.
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arXiv Machine Learning
Aug 12
AIFS-TC: A simple correction competitive with the operational frontier for tropical cyclone intensity forecasting
arXiv:2608. 09959v1 Announce Type: cross Abstract: AI weather models are in the process of revolutionising weather forecasting.
DeepMind Blog
Nov 17, 2025
WeatherNext 2: Our most advanced weather forecasting model
The new AI model delivers more efficient, more accurate and higher-resolution global weather predictions.
DeepMind Blog
May 16
How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica
Learn how our WeatherNext AI model help forecasters give communities unprecedented time to prepare ahead of the historic Hurricane Melissa.
arXiv Machine Learning
Jul 13
Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction
arXiv:2604. 16238v2 Announce Type: replace Abstract: Decision-makers rely on weather forecasts to plant crops, manage wildfires, allocate water and energy, and prepare for weather extremes.
arXiv Machine Learning
Jul 28
HydroAgent: Formalizing Forecaster Expertise into Skill-Orchestrated Flood Forecasting Workflows
arXiv:2607. 23983v1 Announce Type: cross Abstract: Operational flood forecasting depends on tacit forecaster expertise that is difficult to formalize, audit, and transfer.
arXiv Machine Learning
Aug 12
An adaptive and evolvable deep reinforcement learning framework for weather prediction
arXiv:2608. 09948v1 Announce Type: cross Abstract: No single AI weather model excels at all variables, pressure levels, and lead times.
arXiv Machine Learning
Aug 4
From AI Weather Prediction to Infrastructure Resilience: A Real-Time Correction-Downscaling Framework for Tropical Cyclone Impact Forecasting
arXiv:2603. 12828v2 Announce Type: replace-cross Abstract: This paper addresses a missing capability in infrastructure resilience: turning fast, global AI weather forecasts into asset-scale, actionable risk intelligence.
arXiv AI
Jul 7
HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis
arXiv:2603. 01121v2 Announce Type: replace Abstract: While deep learning-based weather forecasting paradigms have made significant strides, addressing extreme weather diagnostics remains a formidable challenge.
arXiv Machine Learning
Jul 24
Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry
arXiv:2607. 20778v1 Announce Type: new Abstract: Weather forecasting foundation models (FMs) are increasingly fine-tuned to predict air quality, offering fast global pollution forecasts at lower computational cost than conventional chemical transport models.
arXiv AI
Jul 28
SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents
arXiv:2607. 24588v1 Announce Type: new Abstract: Early warning of extreme weather is essential for mitigating the societal, economic, and environmental risks posed by hazardous weather events.
OpenAI Blog
Mar 29
Helping disaster response teams turn AI into action across Asia
AI for Disaster Response in Asia: OpenAI Workshop with Gates Foundation