Center for Complex Hydrosystems Research Publications Archive

Articles from the center, those using its research, and faculty associated with the center.

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Spatial Delineation of the Compound Flood Transition Zone Using Deep Learning   /   Publication

Yarveysi, F., F. Gomez Diaz, H. Moftakhari, and H. Moradkhani (2025), Spatial Delineation of the Compound Flood Transition Zone Using Deep Learning, Advances in Water Resources, 105131, doi: 10.1016/j.advwatres.2025.105131.

Escalating High Tide Flooding Along the Atlantic and Gulf Coast of the United States   /   Publication

Mahmoudi, S., H. Moftakhari, D. F. Muñoz, S. Radfar, W. Sweet, and H. Moradkhani (2025), Escalating High Tide Flooding Along the Atlantic and Gulf Coast of the United States Due to Sea Level Rise, Earth’s Future, 13(9), e2024EF005328, doi: 10.1029/2024EF005328.

Establishing closure criteria for coastal roadways under flooding conditions   /   Publication

Maghsoodifar, F., S. Radfar, H. Moftakhari, and H. Moradkhani (2025), Establishing Closure Criteria for Coastal Roadways Under Flooding Conditions, International Journal of Disaster Risk Reduction, 105805, doi: 10.1016/j.ijdrr.2025.105805.

A Block-Level Categorical Flood Risk Mapping to Aid Shelter Location   /   Publication

Tripathy, S. S., H. Moradkhani, and H. Moftakhari (2025), A Block-Level Categorical Flood Risk Mapping to Aid Shelter Location, Journal of Flood Risk Management, 18(3), e70119, doi: 10.1111/jfr3.70119.

Inequality in Human Exposure to Future Climate Extremes   /   Publication

Hosseinzadehtalaei, P., R. Hamdi, H. Moradkhani, P. Termonia, and H. Tabari (2025), Inequality in Human Exposure to Future Climate Extremes, Nature Communications, 16(1), 8058, doi: 10.1038/s41467-025-63385-3.

Coping with Data Scarcity in Extreme Flood Forecasting: A Deep Generative Modeling Approach   /   Publication

Sattari, A., and H. Moradkhani (2025), Coping with Data Scarcity in Extreme Flood Forecasting: A Deep Generative Modeling Approach, Advances in Water Resources, 204, 105063, doi: 10.1016/j.advwatres.2025.105063.

Harnessing Generative Deep Learning for Enhanced Ensemble Data Assimilation   /   Publication

Foroumandi, E., and H. Moradkhani (2025), Harnessing Generative Deep Learning for Enhanced Ensemble Data Assimilation, Water Resources Research, 61(7), e2025WR040078, doi: 10.1029/2025WR040078.

A Multi-Source Remote Sensing-Based Geocommunication Tool for Global Flood Monitoring and Management   /   Publication

Hamidi, E., B. G. Peter, H. Moftakhari, and H. Moradkhani (2025), A Multi-Source Remote Sensing-Based Geocommunication Tool for Global Flood Monitoring and Management, International Journal of Applied Earth Observation and Geoinformation, 142, 104701, doi: 10.1016/j.jag.2025.104701.

Snow Drought to Hydrologic Drought Progression Using Machine Learning and Probabilistic Analysis   /   Publication

Moghaddasi, P., K. Gavahi, and H. Moradkhani (2025), Snow Drought to Hydrologic Drought Progression Using Machine Learning and Probabilistic Analysis, Scientific Reports, 15(1), 20918, doi: 10.1038/s41598-025-05978-y.

Toward an Integrated Sustainability Assessment of Water-Energy-Food Nexus Indicators   /   Publication

Roy, A., and H. Moradkhani (2025), Toward an Integrated Sustainability Assessment of Water-Energy-Food Nexus Indicators, Journal of Hydrology X, 100205, doi: 10.1016/j.hydroa.2025.100205.

The Needs, Challenges, and Priorities for Advancing Global Flood Research   /   Publication

Samadi, V., H. J. Fowler, J. Lamond, T. Wagener, M. Brunner, J. Gourley, H. Moradkhani, I. Popescu, C. Wasko, D. Wright, H. Wu, K. Zhang, P. A. Arias, Q. Duan, A. Nazemi, P. J. van Oevelen, A. F. Prein, J. K. Roundy, M. Saberian, and L. Umutoni (2025), The Needs, Challenges, and Priorities for Advancing Global Flood Research, WIREs Water, 12(3), e70026, doi: https://doi.org/10.1002/wat2.70026.

An Online Survey Analysis of Coastal Flood Recovery Aided by Resident Mitigation Behavior   /   Publication

Cass, E., W. Shao, F. Hao, and H. Moradkhani (2025), An Online Survey Analysis of Coastal Flood Recovery Aided by Resident Mitigation Behavior, Natural Hazards, doi: 10.1007/s11069-025-07357-2.

Analyzing Compound Flooding Drivers Across the US Gulf Coast States   /   Publication

Sohrabi, M., H. Moftakhari, and H. Moradkhani (2025), Analyzing Compound Flooding Drivers Across the US Gulf Coast States, Geophysical Research Letters, doi: 10.1029/2025GL114769.

A Cluster-based Temporal Attention Approach for Predicting Cyclone-induced Compound Flood Dynamics   /   Publication

Daramola, S., D. F. Muñoz, H. Moftakhari, and H. Moradkhani (2025), A Cluster-based Temporal Attention Approach for Predicting Cyclone-induced Compound Flood Dynamics, Environmental Modelling & Software, doi: 10.1016/j.envsoft.2025.106499.

A Data-driven Framework for an Efficient Block-Level Coastal Flood Risk Assessment   /   Publication

Yarveysi, F., K. Jafarzadegan, S. S. Tripathy, H. Moftakhari, and H. Moradkhani (2025), A Data-driven Framework for an Efficient Block-Level Coastal Flood Risk Assessment, International Journal of Disaster Risk Reduction, doi: 10.1016/j.ijdrr.2025.105478.

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