Advancing Earth system science with innovative AI

Project Overview

Learn about the aims and vision of the WeatherGenerator in this short animated video

Groundbreaking European initiative aimed at transforming Earth system science through advanced AI and high-performance computing.

The objective of the WeatherGenerator is to improve weather and climate predictions, enhance renewable energy planning, and provide better tools for mitigating the effect of extreme events like floods and heatwaves. It will combine the latest machine learning with high performance computing, creating a robust tool for scientific discovery and real-world applications.

This way, the WeatherGenerator will ensure Europe remains at the forefront of innovation in weather and climate. The resulting European foundation model will be accessible for many diverse applications in the area of Earth system science.

Project goals

European AI model built for weather and climate
Enhance predictions across timescales
Deepen Earth system understanding
Optimize energy planning and disaster aid
Offer open-source tools and data
Train AI experts in Earth sciences

Research highlights & breakthroughs

1 min read • Feb 17, 2026
WeatherGenerator Meets in Oslo and Online
One year into the project, partners came together for three days of exchange, discussion and hands-on collaboration in Oslo, Norway. It was great to meet in person, connect with new partners, and strengthen existing collaborations. From 10–12 February 2026, project partners and participants met at Forskningsparken - Oslo Science Park - and online for the WeatherGenerator event hosted by Norwegian Meteorological Institute | Meteorologisk institutt. The programme combined an internal General Assembly, a public Dissemination & Stakeholder Day, and a focused Coding Workshop.
- #article
4 min read • Jan 20, 2026
Forecast Verification for AI Models - Article by Britta Seegebrecht and Sabrina Wahl
Forecast Verification for AI models Can we trust AI models? This question could be from a sci-fi movie but nowadays it becomes more and more relevant since so called artificial intelligence (AI) based on machine learning (ML) has made its way into a vast range of application fields from marketing to costumer services, from medical assistance to quality control – and weather forecasting is no exception. For predictions of the weather conditions this question translates roughly to: ‘How accurate and reliable is the forecast, where and under which conditions/for which situations?’ These questions are targeted by the field of forecast verification.What is forecast verification and why is it important?
3 min read • Dec 22, 2025
WeatherGenerator Highlights 2025
2025 marked the first year for the WeatherGenerator project, with major advances across all areas - from model architecture to expanded datasets and growing community engagement. Let’s have a look at some of the project’s highlights of the year.
- #Dissemination
1 min read • Dec 11, 2025
Dissemination Workshop
Join Us in Oslo – WeatherGenerator Dissemination Workshop 2026! We are excited to announce the upcoming WeatherGenerator Dissemination Workshop for everyone working with climate data, environmental modelling, and weather-related decision-making. 📍 Location: Hybrid - Online and in Oslo, Norway 📅 Date: 11 February 2026 The day event will open with a summary of the project, followed by detailed discussion with the project partners on the WeatherGenerator achievements. Invited guest speakers will highlight the relevance and usage of the WeatherGenerator and its tools / applications, and we will also have highlight presentation from related international efforts in the area of foundation modelling for weather and climate science.
2 min read • Dec 04, 2025
Explore the New WeatherGenerator Theme Videos
Explore the New WeatherGenerator Theme Videos We are excited to introduce a brand-new collection of videos that takes you behind the scenes of the WeatherGenerator project. Four Theme Videos – each dedicated to one core pillar of the initiative – along with an overall summary video are now available on our website. Each Theme Video highlights a key element of the project: Theme 1: From Raw Data to Ready-to-Use Inputs This video explores how the project brings together diverse climate and weather datasets, transforming them into a unified, scalable foundation tailored for machine-learning workflows.
- #hackathon
- #community
1 min read • Oct 20, 2025
Video Highlights from Our First Hackathon
Video Highlights from Our First Hackathon We are pleased to share highlights from WeatherGenerator’s first internal hackathon, held from 27–29 August 2025 in Bonn, Germany at ECMWF. Over the course of three days, around 40 researchers, developers, and application partners from across Europe came together to collaborate, exchange knowledge, and lay the foundation for one of the EU’s most ambitious AI-for-climate projects. From data foundations to real-world applications, the hackathon was not only about technical progress, but also about building connections, sharing insights, and shaping the future of climate intelligence.
3 min read • Oct 13, 2025
WeatherGenerator’s Sister Projects
WeatherGenerator’s Sister Projects WeatherGenerator is one of three projects launched in January and February 2025 under Horizon Europe to strengthen Destination Earth (DestinE), Europe’s initiative to build a high-precision, interactive digital twin of the Earth. Digital twins are computational models of real-world phenomena that can be used to simulate the past, model the present, and predict the future. Together with TerraDT and UrbanAIR, we expand the DestinE ecosystem by addressing different but complementary aspects of the Earth system.
3 min read • Oct 06, 2025
Supercomputers in the WeatherGenerator
What are Supercomputers? Supercomputers are high-performance computing systems designed to solve problems which exceed the capacity of conventional machines. Their defining feature is massive parallelism: instead of relying on a single processor, they connect tens of thousands of CPUs and GPUs which perform calculations simultaneously. This parallel architecture allows them to reach speeds measured in petaflops (10¹⁵ operations per second) or even exaflops (10¹⁸ operations per second), enabling computations that would take years on a standard computer to be completed within hours or days.
- #get involved
- #community
3 min read • Sep 03, 2025
How To Get Involved
Learn how to get involved in the WeatherGenerator Project.
- #community
- #hackathon
3 min read • Jul 31, 2025
WeatherGenerator’s First Internal Hackathon
From 27–29 August 2025, project partners of the EU-funded WeatherGenerator project gathered for the first internal hackathon at ECMWF’s facility in Bonn, Germany. This event brought together around 40 researchers, developers, and application partners from across Europe to collaborate in person and lay the groundwork for one of the EU’s most ambitious AI-for-climate projects.

Explore news

Technical Blog Vol. 2
Orchestrating Deep Learning Across Europe's HPC Landscape
Running EU-wide Deep Learning projects for Weather The WeatherGenerator project is an ambitious Europe-wide project to build a “Large Language Model for the weather.” From the outset, this leads to a very practical challenge: how to coordinate the development of a state-of-the-art model across 6 High Performance Computing (HPC) systems and 10 research groups? Each HPC system is custom built with the purpose of maximizing processing power at the expense of ease of use or convenience. This experience is very different compared to using a public cloud such as Amazon Web Services, Azure, Google Cloud. Public clouds are meant to be cost effective to build and operate. They are the Ford T’s of large computing: easy to use, simple, adapted to many scenarios. Public cloud operators put a large focus on standardization and automation as well as ease of use for the final customers.
Timothee Hunter,
Christian Lessig
Aug 05, 2025 6 min read
Technical Blog Vol. 1
The WeatherGenerator: building a European foundation model for Weather and Climate
Machine learning powers WeatherGenerator, a global Earth system model for forecasting weather and climate impacts.
Christian Lessig
May 07, 2025 3 min read