Join us for the seventh webinar in the series on
Bridging Physics and Data: Parameter Estimation and Emulation of Land Surface Models with Machine Learning
Dr. Nina Raoult, ECMWF
9 July 2025 | 15:30 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.
Register at https://gmu.zoom.us/webinar/register/WN_uweh-ZftQ7iwGwkvo-K_xQ! After you register, the link for the webinar will be emailed to you.
