Recording of the webinar:
13 November 2024, 10:00 CET
Webinar organised by EuroCC Austria and VSC Research Center (TU Wien)
Language: English
Location: Online (Zoom)
Price: free
Registration: closed
For a long time, supercomputing was the undisputed captain of weather forecasting, expertly navigating through complex simulations of all kinds. But recently, a new first officer has taken the helm: Machine Learning (ML) is currently revolutionising weather and climate predictions by delivering more accurate results in less time.
In this webinar, you will get unique insights into how AI is revolutionising weather and climate forecasts. Join us to learn about:
10:00 | Welcome Slides | |
Eva Gergely (project manager and team lead at Vienna University Computer Center, dept. IT-Support for Research) | ||
10:10 | The Rise of Machine Learning in Weather Prediction Slides | |
Machine learning (ML) is revolutionizing weather prediction, enhancing the accuracy and efficiency of traditional forecasting models as well as being weather model emulators. Vast improvements have been made in the past few years, recently even enabling the general public in running a low resolution forecasting model at a whim. This presentation explores key advancements in ML weather prediction and emulators, highlighting the potential to transform climate science, (renewable) energy management, and disaster preparedness. Speaker: Irene Schicker | ||
10:35 | Oceanographic predictions: How HPC can help train reliable AI models Slides | |
HPC is transforming oceanographic forecasting by enabling the development of reliable AI models. This talk highlights how the Vienna Scientific Cluster (VSC5) helped us train advanced GNN-GRU models to predict Significant Wave Height (SWH) with highly accurate six-hour forecasts. Discover how HPC is accelerating ocean predictions and improving maritime decision-making. The work was carried out following a strategic partnership between two deep-tech startups, namely AlongRoute Data I.K.E. and Neuralio A.I. Speaker: Paraskevi Vourlioti | ||
11:00 | AIFS: a data-driven probabilistic weather forecasting system Slides | |
AI is driving progress in many fields and weather forecasting is no exception. The past few years have seen several data-driven weather forecasting models that are comparable in skill to leading traditional models. Over the past year, ECMWF has been developing its own data-driven forecasting system, the AIFS. This talk will give an overview of AIFS and discuss its performance for a few significant weather events. It will also showcase ongoing research efforts at ECMWF, including data-driven probabilistic ensemble forecasting, and learning to predict directly from observations. Speaker: Mariana Clare | ||
11:25 | Q&A + open end |
Prices and eligibility
This webinar is offered free of charge for participants from industry, academia and public administration from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon 2020 programme.
Contact
Organisers
EuroCC Austria – National Competence Centre for Supercomputing, Big Data Analytics and Artificial Intelligence – helps businesses, academia and the public sector to adopt and leverage advanced computing technologies. It is coordinated by Advanced Computing Austria (ACA) with the University of Vienna, TU Wien and the University of Natural Resources and Life Sciences (BOKU), in close cooperation with business incubator INiTS.
VSC Research Center (TU Wien) is a collaboration of Austrian universities that provides supercomputing resources and support to scientists and researchers.