Our lab had a strong show at the AGU Fall Meeting held in Chicago. Dr. Wang talked about our work on machine learning-based crop yield modeling, Yan talked about her research on how temperature and water stress influence ecosystem productivity, Yelin presented his study on the role of soil moisture and soil temperature as sources of subseasonal predictability, Koushan presented his latest analysis on SIF RCI and flash drought early warning based on multiple datasets, and Badhan presented her progress in climate downscaling using a deep learning approach! It was Yan’s first oral presentation at AGU and she did a great job!