Our recent paper in Water Resources Research, Harnessing Generative Deep Learning for Enhanced Ensemble Data Assimilation
Hydrologic modeling faces challenges due to various sources of uncertainty, the inherent nonlinearity, and high ... Read More
Our recent paper in Scientific Reports, Snow Drought to Hydrologic Drought Progression Using Machine Learning and Probabilistic Analysis
Snow plays a crucial role in water resource management, acting as a natural reservoir that ... Read More
Our recent paper in Journal of Hydrology X, Toward an Integrated Sustainability Assessment of Water-Energy-Food Nexus Indicators
The interdependence of crucial resources and the imperative for ensuring sustainability through integrated management approaches ... Read More