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.
The registration link for May’s webinar is live! Register at https://gmu.zoom.us/webinar/register/WN_gTVMAuYdTpmm8iYTxDTChQ and a link to participate will be emailed to you.
