Join us on Wednesday, April 24 at 3 PM CET !
Surrogate modelling of sea-ice models offers an opportunity to improve their computational performance, however, deterministic surrogates tend to loose small-scale information and can result in physically inconsistent trajectories. In this webinar, showcased on neXtSIM simulations, Tobias will offer insights into how generative deep learning, popularized for image generation, can solve such issues and improve the physical consistency, thereby exceeding the performance of deterministic surrogates.
After registering, you will receive a confirmation email with a Zoom link to join the webinar.
