235 Publications (Page 1 of 10)
2026
Accounting for the uncertainty of precipitation forecasts and its impacts on probabilistic flood inundation mapping skill. Journal of HydrologyGomez, FJ⋅Jafarzadegan, K and Moftakhari, H.
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An Effective Monitoring of Evolving Groundwater Drought via Multivariate Data Assimilation and Machine Learning. Water Resources Research
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Comment on “The Current State of Undergraduate Hydrology Courses in North America: A Path Forward” by Kelleher et al. (2026): Theoretical Coherence at the Core, Outcome Pluralism in Practice. Water Resources Research
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Comprehensive Flood Impact Assessment Using NLP and BERT Deep Learning for Improved Impact Prediction and Disaster Management. Water Resources Research
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Daily Precipitation-Frequency Estimates under Climate Oscillations across the Conterminous United States
Four Decades of Baseflow Drought Analysis Reveals Varying Contributions of Climatic Drivers and Physical Controls. Earth's Future
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Global spatially detailed water footprint of crop production over five decadesDemeke, Betelhem W⋅Mekonnen, Mesfin M⋅Brauman, Kate A⋅Magliocca, Nicholas and Moradkhani, HamidScientific reports, Apr 3, 2026.
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Global spatially detailed water footprint of crop production over five decadesDemeke, Betelhem W.⋅Mekonnen, Mesfin M.⋅Brauman, Kate A.⋅Magliocca, Nicholas and Moradkhani, HamidScientific Reports (Nature Publisher Group), vol. 16, (no. 1), pp. 15976, 2026.
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Learning the Kalman Gain: An End-to-End Deep Learning–Kalman Filter Hybrid Framework for Hydrological State Updating
Synergistic impact of marine heat waves and rapid intensification exacerbates tropical cyclone destructive power worldwideRadfar, Soheil⋅Foroumandi, Ehsan⋅Moftakhari, Hamed⋅Moradkhani, Hamid⋅Gupta, Alex Sen and Foltz, Gregory RScience advances, vol. 12, (no. 15), pp. eadu1733, Apr 10, 2026.
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Synergistic impact of marine heatwaves and rapid intensification exacerbates tropical cyclone destructive power worldwide. Science Advances
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Synergistic Integration of Flood Inundation Modeling Methods: A Review of Computational, Data‐Driven, Observational and Experimental, and Conceptual Models. Reviews of GeophysicsNazari, Behzad⋅Bates, {Paul D}⋅Merwade, Venkatesh⋅Wahl, Thomas and al.
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Thank You to Our 2025 Reviewers. Water Resources Research
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The Role of Baseflow Data Assimilation in Hydrologic Modeling and Peak Flow Prediction. Geophysical Research Letters
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Unraveling uncertainty in compound flood modeling: sensitivity of simulations to forcings and model parameters. Journal of Hydrology
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2025
A cluster-based temporal attention approach for predicting cyclone-induced compound flood dynamics. Environmental Modelling & Software
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A Data-driven Framework for an Efficient Block-Level Coastal Flood Risk Assessment. International Journal of Disaster Risk ReductionYarveysi, F⋅Jafarzadegan, K⋅Tripathy, SS and Moftakhari, H.
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A Machine Learning Framework for Post-processing Satellite Observations of Soil Moisture in Urban Areas
Analyzing Compound Flooding Drivers Across the US Gulf Coast States. Geophysical Research Letters
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An online survey analysis of coastal flood recovery aided by resident mitigation behaviorCass, Evan⋅Shao, Wanyun⋅Hao, Feng and Moradkhani, HamidNatural Hazards, vol. 121, (no. 12), pp. 14355-14371, Jul 2025.
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An online survey analysis of coastal flood recovery aided by resident mitigation behavior. Natural Hazards
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A surrogate machine learning modeling approach for enhancing the efficiency of urban flood modeling at metropolitan scales. Sustainable Cities and SocietyAderyani, FR and Jafarzadegan, K.
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DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States. Scientific Data
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Does the Future Look Irrigated? Evaluating the Likelihood of Irrigation Adoption Within AlabamaPathak, Ruchie⋅Magliocca, Nicholas R⋅Kumar, Mukesh⋅Rathore, Lokendra and Moradkhani, HamidSoutheastern Geographer, vol. 65, (no. 1), pp. 74-100, Spring 2025.
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Enhancing Hydrological Prediction in Snow-Dominant Basins Through Multivariate Calibration-Data Assimilation Framework. Advances in Water Resources
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