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Empowering weather and climate forecast
planet earth climate
MAELSTROM develops new machine learning applications in weather and climate science that can exploit exaflop performance.
MAELSTROM delivers benchmark datasets to allow for a quantitative intercomparison of machine learning tools — serving as blueprints for many machine learning applications in Earth system science.
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HPC system
MAELSTROM develops compute system designs that are optimised for machine learning applications for weather and climate predictions at the node and system level.
MAELSTROM will transfer this knowledge to machine learning applications in other domains to optimise the use of future EuroHPC systems.
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weather event
MAELSTROM develops software environments to build exascale-ready machine learning tools that can be used within weather and climate science and beyond.
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MAELSTROM co-design cycle
To strengthen high-performance computing and weather and climate prediction in Europe, MAELSTROM will enhance the use of machine learning in Earth system science via concerted developments of machine learning, software and hardware tools in a so-called co-design cycle.
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MAELSTROM brings people together to discuss and advance the state of HPC-based ML for weather and climate modelling – as we did in our first dissemination workshop.
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MAELSTROM news

Boot Camp registration now closed

2022-08-15, Jan Mirus

Registration is now closed!
43 hand-selected high caliber participants will join us for our first boot camp at Jülich Supercomputing Centre Sept 27 – Sept 30, 2022.
Hands-on work will allow them to learn more about the use of machine learning for weather and climate prediction in general, work with cutting-edge ML applications, test new workflow tools, and use one of Europe's fastest supercomputer!

Registration now open for our Boot Camp

2022-06-15, Jan Mirus

If you want to try out Germany's fastest supercomputer, hang with ECMWF's and JSC' scientific staff and other high-caliber people from across Europe, or be one of the first to try methods that may usher in a new era of weather & climate prediction:
You may be a candiate for our Boot Camp taking place Sept 27 through Sept 30 at Forschungszentrum Jülich!
Eligible for participation are Master and PhD students. You should have a basic background either in meteorology or machine learning or both. Some limited knowledge of Python and standard ML frameworks (e.g. TensorFlow or PyTorch) is preferred. Ideally, you are also familiar with Jupyter Notebooks and git, though this is not required.
This event will be held in English.
There will be no registration fee, but travel and accommodations must be paid by your home institution (or yourself).
Register here until 15th Aug 2022

We need more women in HPC, as it is changing the world

2022-04-24, Jan Mirus

We at MAELSTROM are no poster child either, no. Our team is a great bunch of people from all over the world, young and old, with all different kinds of backgrounds – but also mainly male.
HPC is about to change science and technology, and experience tells, that whatever changes science and technology, will sooner or later change our societies, our culture. Our hopes are that it will change the world for the better. But for this aim, women's perspectives, skills and opinions must be a full part of HPC.
A related event worth putting in your diaries is the Women in HPC — ISC’22 Workshop. Y'all probably have the ISC 2022 on your radars anyway, so make sure to allow time on Thu 02, Jun, 2022 9:00 am - 1:00 pm.

Workshop presentations, results & recordings ready for download

2022-03-29, Jan Mirus

60 participants, five MAELSTROM speakers, three speakers from our EuroHPC partner projects, and three speakers from the wider science and technology community, interactive polling and subsequent discussions made our first dissemination workshop a high-profile forum on the present and the future of ML-based weather & climate forecasting in a HPC context. To download the presentations that were shown, and watch the recordings of our talks, visit the ECMWF page.

First MAELSTROM workshop approaching!

2022-03-14, Jan Mirus

150 registrations for our first workshop! Yikes.
We want to make this a truly interactive event, and we're honored to welcome speakers of some of our EuroHPC sister projects: TimeX, Red-Sea and Deep-Sea.
Also, we were able to win more high-caliber speakers:
Jussi Leinonen (MeteoSwiss) will be talking about "Time-Consistent Downscaling of Atmospheric Fields with Generative Adversarial Networks";
Ryan Abernathey (Columbia) will introduce "Pangeo: An Open Source Ecosystem for Data-Intensive Science";
Thorsten Kurth (from our partner NVIDIA) will feature "Deep Learning for Earth Sciences in the HPC Context".
Luckily, this event is digital, so the size of our venue is flexible. You can still be part of it:
Visit the ECMWF page to register.

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