Extreme weather events caused over
casualties in the past 20 years.
times the people killed in German traffic in the same period.
times the number of casualties in the Bosnian war.
To predict just the weather in Europe, around
observations must be processed. Every day!
times the number of observations a person could read in a day (assuming 10 per minute).
Degrees of freedom are a measure for the complexity of statistics. Our high-resolution prediction model has almost
DoF in a single simulation.
times the degrees of freedom a person could update manually in one day (assuming 5 per minute).
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!
Our second hackathon and our second dissemination workshop, which were both originally planned for spring 2023, will be held in the week of November 6
"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!
Congratulations to Thorsten Höfler, who was honored for his pioneering contributions to large-scale parallel processing systems and supercomputers. We are excited to have such a high-caliber contributor to science among the ranks of our team. Read more here.
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!