Articles from the center, those using its research, and faculty associated with the center.
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.
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.
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.
Cass, E., C. Harris, W. Shao, E. Yeates, H. Moradkhani, and J. Lyons (2025), Stakeholder Compound Flood Hazard Communication and Decision Making in Mobile, AL, International Journal of Disaster Risk Reduction, doi: 10.1016/j.ijdrr.2025.105469.
Rezaei Aderyani, F., K. Jafarzadegan, and H. Moradkhani (2025), A Surrogate Machine Learning Modeling Approach for Enhancing the Efficiency of Urban Flood Modeling at Metropolitan Scales, Sustainable Cities and Society, doi: 10.1016/j.scs.2025.106277.
Ghaneei, P., and H. Moradkhani (2025), DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States, Scientific Data, doi:10.1038/s41597-025-04389-y.
Razavi, S., A. Duffy, L. Eamen, A. Jakeman,…, and H. Moradkhani (2025), Convergent and transdisciplinary integration: On the future of integrated modeling of human-water systems, Water Resources Research, doi:10.1029/2024WR038088.
Foroumandi, E., H. Moradkhani, F.L. Ogden, and W. Krajewski (2025), Ensemble Data Assimilation for Operational Streamflow Predictions in the Next Generation (NextGen) Framework, Environmental Modeling and Software, doi:10.1016/j.envsoft.2024.106306.
Magliocca, N., R. Pathak, A. Price, H. Tanveer, and H. Moradkhani (2025), Increasing behavioral richness and managing structural uncertainty in social-ecological system agent-based models, Socio-Environmental Systems Modeling, 6, 18749, 2024, doi:10.18174/sesmo.18749.
Abbaszadeh, P., K. Gavahi, and H. Moradkhani (2024), Towards a Robust Hydrologic Data Assimilation System for Hurricane-induced River Flow Forecasting, Hydrology and Earth System Science Discussion, doi:10.5194/hess-2024-209.
Sattari, A., K. Gavahi, E. Foroumandi, and H. Moradkhani (2025), A Probabilistic Machine Learning Framework for daily Extreme Events Forecasting, Expert Systems with Applications, 265 (2025) 126004, doi:10.1016/j.eswa.2024.126004.
Boumis, G., H. Moftakhari, D. Lee and H. Moradkhani (2025), In search of non-stationary dependence between estuarine river discharge and storm surge based on large-scale climate teleconnections, Advances in Water Resources, doi:10.1016/j.advwatres.2024.104858.
Radfar, S., E. Foroumandi, H. Moftakhari, H. Moradkhani, G.R. Foltz, and A.S. Gupta (2025), Global predictability of marine heatwave induced rapid intensification of tropical cyclones, Earth’s Future, doi:10.1029/2024EF004935.
Xu, L., Y. Lv, and H. Moradkhani (2024), Daily multistep soil moisture forecasting by combining linear and nonlinear causality and attention-based encoder-decoder model, Stochastic Environmental Research and Risk Assessment, doi: 10.1007/s00477-024-02846-5
Ghaneei, P., E. Foroumandi, and H. Moradkhani (2024), Enhancing Streamflow Prediction in Ungauged Basins Using a Nonlinear Knowledge-Based Framework and Deep Learning, Water Resources Research, doi: 10.1029/2024WR037152.
