Resources
Below you will find curated multimedia and reading materials that showcase the science, people and progress behind Weather Generator.
Each category features brief video introductions — perfect for sharing or embedding in lectures — and links to deeper technical content.
Videos
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Introductory Videos
Introducing the WeatherGenerator project, its goals and why it is needed.
Introductory video
Science Explainers
Explaining background knowledge and the methods being used within the WeatherGenerator project.
Even Nordhagen: Can Weather Models Predict Power Prices?
Event Videos
Bringing together the WeatherGenerator community to collaborate, interact and work on common goals of the project.
Video Highlights from Oslo: General Assembly, Dissemination & Stakeholder Day, Coding Workshop
Highlights from Our First Hackathon in Bonn
About the Themes
The overall project is organised in four Themes: Data, Model, Application and Service. Find out more about each of them, what they work on and how they interact.
Work Structure Introduction
Theme 1: Data
Theme 2: Model
Theme 3: Application
Theme 4: Service
Women Shaping Science
Female scientists from across the WeatherGenerator project share their personal experiences in the scientific world, offering honest reflections on their paths, challenges and achievements.
Jésica Piñón Rodríguez
Florentine Weber
Publications

Error bounded compression for weather and climate applications
Error bounded compression for weather and climate applications
Developed EBCC as novel error-bound compression method for weather data, with paper published on ArXiv and submitted to PNAS.

High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid
High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid
A probabilistic AI weather model for high-resolution, spatially coherent ensemble forecasts.
Deliverables and Reports
- D1.1 •
Data Management Plan
- D1.2
Preliminary report on dataset compression and data optimisation methods and their effects on training
- D1.3
Documentation of the first version of the training datasets of the WeatherGenerator including a description of the data
- D1.4
Report on simple and efficient data loading via a uniform API including a list of datasets on the different EuroHPC machines and DestinE data bridges
- D1.5
Documentation of the final version of the training datasets of the WeatherGenerator
- D1.6
Report on ethical aspects of the data used and generated by the WeatherGenerator











