Join us for the twenty-first webinar in the series:
Physics-informed Machine Learning for Land Data Assimilation
Prof. Xin Li, Chinese Academy of Science, ITPCAS
12 November 2026 | 14:00 UTC
The Machine Learning for Land Surface Models (ML4LM) webinar series gathers eminent scientists to share their experience in the combined fields of machine learning and land modeling. ML4LM aims at exploring the extent and the role that machine learning could play for better land surface studies, especially identifying the main areas where it could be applied and providing tools and data to the land surface modeling community. It is a project of the GLASS Panel, which coordinates the evaluation and intercomparison of the latest generation of land models and their applications to scientific queries of broad interest.
See the website for the registration link! Links are added a few weeks before the webinar occurs. After you register, the link for the webinar will be emailed to you.
