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

Looking for the full bibliography?

A complete author listing is maintained on the researcher’s Google Scholar profile and is linked below. The entries on this page are grouped by topic to reflect the main directions of work published by the group.

This publications page collects scholarly work from Dr. Hamid Moradkhani and the members of his research group at the University of Alabama, where he serves as Alton N. Scott Professor of Civil and Environmental Engineering and Director of the Center for Complex Hydrosystems Research. The entries are organized by subject area rather than presented as a single chronological bibliography, making it easier to see how individual papers contribute to each of the group's main directions in hydrology and water resources research.

The first major theme is drought, covering probabilistic drought monitoring and forecasting, with work published in outlets such as the Journal of Hydrometeorology. These studies reflect a central aim of the group: turning observational and modeled data into quantitative assessments of water availability over time, including the use of ensemble and multi-model approaches to express uncertainty in predictions and to translate forecast probabilities into information that is useful for water management decisions.

A second theme addresses climate variability and extreme events, including flood modeling and the characterization of events whose consequences for human populations depend on factors such as exposure, vulnerability, and risk. This line of work connects hydrologic and meteorological analysis with the computational methods the group emphasizes, such as model downscaling, data assimilation, Bayesian inference, and post-processing techniques that improve the reliability of simulated extremes.

The page also points readers toward the researcher's Google Scholar profile for a complete author listing, while the grouped entries here serve as a curated view of representative work. Taken together, the publications illustrate a group that sets computational methods alongside physical understanding, aiming to advance prediction of complex hydrologic behavior and to support sustainable management of water resources under conditions of uncertainty.