Hamid Moradkhani Alton N. Scott Professor of Civil and Environmental Engineering · Director, Center for Complex Hydrosystems Research · The University of Alabama

The group is currently active in data revolution, predictive science, uncertainty analysis, machine learning, data analytics, and high-performance computing for water resources.

The news page of this academic site tracks the ongoing work of a hydrology research group at the University of Alabama, led by a civil and environmental engineering professor who also directs a center for complex hydrosystems research. The focus of the group is the computational study of water, including drought monitoring, flood forecasting, and the broader modeling of hydrologic variability and change. The updates collected here summarize how the team is engaging with problems of water resources system analysis and how those efforts connect to wider questions of sustainable water management.

Recent activity described on the page centers on the group's participation in the data revolution, predictive science, uncertainty analysis, machine learning, data analytics, and high-performance computing for water resources. Individual research threads include data assimilation and remote sensing, probabilistic and Bayesian inference, multi-model and ensemble approaches, post-processing of meteorological and hydrological predictions, and downscaling techniques for representing complex interactions at finer scales. The result is a body of methods designed to harness large computational capability while keeping uncertainty explicit rather than hidden.

Beyond the technical projects, the news entries point to the human side of the work: research team members continue to be active across these topic areas, and the group emphasizes translating computational advances into outcomes that support sustainable management of water systems. Contributions are organized around shared methodological aims, with an emphasis on advancing predictive capability and quantifying uncertainty in extreme events, risk, and recovery. The page also serves as an index to publications, papers in journals, maps, interactive tools, and other resources produced by the group and its collaborators.

The site itself is structured as a compact, utilitarian personal webpage rather than a promotional portfolio. A deep plum header and footer frame a light lavender sidebar and white content panels, with plain bordered boxes, thin divider rules, and blue hyperlinks used to separate sections. Navigation labels reflect the research content directly, covering news, research areas, publications, people, courses, and data products, along with search and alert styling for warnings. The overall presentation is dense and text-forward, keeping attention on the science being reported.