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).
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.
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.
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.
Let's celebrate all the great work of women in science. See, for example, a couple of fantastic female individuals working at ECMWF.
There has been been a 4-hour Crash Course in machine learning for Earth System Science at the "Center for Earth System Observation and Computational Analysis" (CESOC) by MAELSTROM Coordinator Peter Dueben that included both lectures and hands-on exercises.