Experimental Digital Twin for Ecosystems: Water, Soil, Drought

This project integrates advanced AI models and diverse environmental data to develop digital twins for forecasting key environmental conditions such as drought, wildfire, and agricultural risks in Colorado and Wyoming, enabling stakeholders to make informed management and planning decisions. This project is part of the NSF ASCEND Engine in Colorado and Wyoming.