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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Hamilton gets Medal of Freedom from Obama
MAELSTROM thinks that both female and male brains should help shape our future.
Yet more obstacles than we thought prevent women from achieving in 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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Introducing FZJ's AtmoRep

2023-08-29, Jan Mirus

This could become very influential:
Classical numerical models of the atmosphere exhibit biases due to incomplete process descriptions and they are computationally highly demanding. Recent AI-based weather forecasting models reduce the computational costs but lack the versatility of conventional models and do not provide probabilistic predictions.
The AtmoRep project asks if one can train one neural network that represents and describes all atmospheric dynamics. The FZJ team around Martin Schulz recently published a paper describing how this novel, task-independent stochastic computer model of atmospheric dynamics provides superior results for a wide range of applications: nowcasting, temporal interpolation, model correction, and counterfactuals.
Congrats to our MAELSTROM team members Bing Gong, Michael Langguth, Martin Schulz, and their FJZ colleagues!

Read the full paper here.
AtmoRep project page

Registration open!

2023-03-21, Jan Mirus

We're approaching two major events before MAELSTROM turns into the home stretch! The registration for both our second Dissemination Workshop and our second Boot Camp are open. Be sure to reserve your place.

4 open machine learning positions @ ECMWF!

2023-03-13, Jan Mirus

MAELSTROM partner and coordinator ECMWF has four (!) machine learning positions available. If you are a machine learning and/or HPC expert and want to walk the last mile towards operational use of ML in numerical weather predictions and climate services, get excited and check here!

MAELSTROM Hackathon II and Workshop II moved to November

2023-03-03, Jan Mirus

Our second hackathon and our second dissemination workshop, which were both originally planned for spring 2023, will be held in the week of November 6th, 2023. Please adjust your calendars and save the date. More information will follow soon!

MAELSTROM's take on women in science

2022-11-17, Jan Mirus

"We need more women in science." "We support women in science." - that's said easily. But when we took a closer look, we discovered lots of open questions and hidden conflicts. We conducted a range of interviews, checked existing initiatives and sources of information - but still have questions. Take a look and tell us what you think!

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Associated partners

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