Fall Meeting 2022

December 12 - 16, 2022

Land models simulate complex land processes and serve as important tools to forecast and predict high-impact events under climate change. Even though land models have been widely used in global-scale studies, there are an emerging number of regional applications in studying high-impact events, including wildfires, floods, and droughts. As an interconnected system, the high-impact events greatly influence the food-water-energy nexus, especially the security of power and agriculture sectors. In this session, we provide a platform open to any discipline to (1) present regional applications by using and optimizing land models, or by coupling component models (e.g., fire and hydrological models) to land models, and (2) foster in-depth discussions on how we can better improve land models for the purpose of regional application. We hope these cross-disciplinary presentations can be informative and enlightening on the future development of land models and corresponding infrastructures and datasets.