Panel Discussion - All Panelists with Q & A

The recent promises of ML(machine learning) /AI (Artificial Intelligence) demonstrated in aspects of Earth system prediction suggest new opportunities for data assimilation (DA). This panel discussion session is organized by Multi-University Consortium for Advanced Data Assimilation Research and Education (CADRE) and is chaired by Xuguang Wang, director of CADRE. Four invited panelists will give presentations to share their perspectives on the following four questions: (1) How should the DA and ML/AI fields interact and collaborate for their developments? (2) How will the “data driven” prediction model influence DA research? (3) What is the role and opportunity of DA in the Earth system digital twin? (4) What skills should students develop to prepare to work on DA for NOAA and for future opportunities? Full panel discussion will follow. Time will be given for open questions and discussions between the audience and panelists.