Publications

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.

Roy, A., H. Moradkhani, M. Mekonnen, H. Moftakhari, and N. Magliocca (2024), Towards strategic interventions for global food security in 2050, Science of The Total Environment, doi: 10.1016/j.scitotenv.2024.176811.

Zafarmomen, N., H. Alizadeh, M. Bayat, M. Ehtiat, and H. Moradkhani (2024), Assimilation of Sentinel-Based Leaf Area Index for Modeling Surface-Ground Water Interactions in Irrigation Districts, Water Resources Research, doi: 10.1029/2023WR036080.

Samadi, A., K. Jafarzadegan, and H. Moradkhani (2024), DEM-based Pluvial Flood Inundation Modeling at a Metropolitan Scale, Environmental Modelling & Software, doi: 10.1016/j.envsoft.2024.106226.